---

Research Agent Skills, maintained by Kalaris Labs, is a free, open-source library of Agent Skills for students, researchers and research teams.
Each skill is a folder with a SKILL.md playbook, references and tested scripts. Your AI agent loads a skill
only when a task needs it: drafting a manuscript, formatting for Nature or IEEE, verifying references,
running a PRISMA systematic review, analyzing single-cell data, or answering reviewers.

It is built around the three ways AI research assistance goes wrong:

1. AI slop. unslop-academic-writing finds stock phrasing ("delves into", "pivotal role"), empty emphasis, stacked hedges and
   monotone rhythm, then rewrites toward specific, evidence-backed prose in the author's own voice.
2. Hallucinated citations. citation-verification checks every reference against Crossref, OpenAlex and arXiv. On our labeled
   benchmark it flagged every fabricated and corrupted reference and passed every correct one.
3. Outdated venue rules. Journal skills make the agent read the current author guidelines before formatting, instead of trusting memory.

Install in 30 seconds

npx skills add KalarisLabs/research-agent-skills

The skills.sh CLI lets you select individual skills and agent harnesses. It installs into the current project;
add --global for a user-level installation. To inspect all available skills first, run
npx skills add KalarisLabs/research-agent-skills --list.
Then ask your agent, for example "Verify every reference in refs.bib" or
"Unslop this introduction without changing any claims".

Choose a starting skill for your field with a command that works today:

Researcher	Start with
Academia across disciplines	npx skills add KalarisLabs/research-agent-skills --skill scientific-writing
Machine learning	npx skills add KalarisLabs/research-agent-skills --skill ml-paper-writing
Artificial intelligence	npx skills add KalarisLabs/research-agent-skills --skill evaluating-llms-harness
Biology and bioinformatics	npx skills add KalarisLabs/research-agent-skills --skill scanpy
Chemistry and materials	npx skills add KalarisLabs/research-agent-skills --skill rdkit
Medicine and clinical research	npx skills add KalarisLabs/research-agent-skills --skill clinical-reports
Physics and astronomy	npx skills add KalarisLabs/research-agent-skills --skill astropy

The planned npm installer will add curated bundles for these fields after its first release.
Browse all categories when you need a specialist skill.

The complete collection: research-agent-skills is the
single collection entry, with an index of all 280 specialist skills. On skills.sh, each
specialist also has its own installable entry. To install the complete set into this
project for Codex, run npx skills add KalarisLabs/research-agent-skills --skill '*' --agent codex --yes.
Replace codex with your agent.

Other installation methods

The research-agent-skills npm CLI and standalone installers require the first tagged release.

Method	Command
Specific skills	npx research-agent-skills install citation-verification unslop-academic-writing nature-portfolio
A field	npx research-agent-skills install --category life-sciences
One agent, this project only	npx research-agent-skills install --harness codex --project
skills.sh / Vercel skills CLI	npx skills add KalarisLabs/research-agent-skills --list, then npx skills add KalarisLabs/research-agent-skills --skill citation-verification
GitHub CLI	gh skill install KalarisLabs/research-agent-skills
Claude Code plugin marketplace	/plugin marketplace add KalarisLabs/research-agent-skills, then /plugin install research-essentials@research-agent-skills
macOS / Linux without Node.js	curl -fsSL https://raw.githubusercontent.com/KalarisLabs/research-agent-skills/main/install.sh | sh
Windows without Node.js	irm https://raw.githubusercontent.com/KalarisLabs/research-agent-skills/main/install.ps1 | iex

Our npm and standalone installers verify pinned release downloads with SHA-256. The skills.sh CLI manages its own installation flow. npx research-agent-skills doctor checks your setup.
Full guide: Installation.

Installer targets: Claude Code · OpenAI Codex · Cursor · Gemini CLI · GitHub Copilot · OpenCode · Windsurf · generic .agents/skills (including compatible Cline, Amp and Goose setups).
The skills follow the Agent Skills specification; other harnesses can use the folders if they support that specification. Tool permissions and advanced features may vary by harness. Every skill passes the specification's reference validator.

Built for researchers

You are...	Start with
A PhD or master's student writing a thesis, dissertation or first paper	scientific-writing, unslop-academic-writing, literature-review, apa7 or your journal's skill · Thesis guide
A researcher or PI submitting manuscripts and grants	journal-format skills, abstract-and-title, cover-letter-to-editor, rebuttal-and-response-to-reviewers, research-grants · Paper guide
Running a systematic review or meta-analysis	systematic-review-prisma, citation-verification, statistical-analysis · Review guide
An ML / AI researcher	ml-paper-writing (NeurIPS, ICML, ICLR, ACL, AAAI templates), arxiv-submission, and the ml-* categories
In biology, chemistry, medicine, physics or earth science	100+ database and analysis skills · Skills by field
A librarian or research software engineer	reference-manager-interop (Zotero, Mendeley, EndNote), paper-corpus-rag, research-knowledge-graph, research-skill-creator

Find an agent skill for your research task

Research task	Start here
Search papers and build a literature review	literature-review, research-lookup, literature-review skills
Discover papers in Firecrawl's hosted Research Index	firecrawl-research-index searches indexed papers, reads relevant passages, and follows citations; access is currently free with limits (provider docs)
Plan and report a systematic review or meta-analysis	systematic-review-prisma, statistical-analysis, systematic review guide
Draft or revise a research paper, thesis or grant	scientific-writing, unslop-academic-writing, research-grants, writing guide
Check citations, BibTeX and reference libraries	citation-verification, bibtex-hygiene, reference-manager-interop
Prepare a journal or conference submission	journal format skills, arxiv-submission, rebuttal-and-response-to-reviewers
Analyze data and report reproducible methods	data science skills, scientific-visualization, reproducibility-statement

Explore scientific agent skills by discipline

Field	Example skills	Browse
Bioinformatics and genomics	scanpy, scvi-tools, pydeseq2	Life sciences
Chemistry, materials and drug discovery	rdkit, deepchem, pymatgen	Chemistry and drug discovery
Clinical, biomedical and health research	pydicom, pyhealth, clinical-reports	Clinical and health
Physics, astronomy and earth science	astropy, qiskit, geopandas	Physical sciences
Psychology and social science	apa7, experimental-design, statistical-power	Research essentials
AI and machine learning research	ml-paper-writing, pytorch-fsdp2, evaluating-llms-harness	ML training

For more workflows and installation choices, see skills by field.

What you can ask

"Draft the Results section from results/ and the figures in figs/, then unslop it."
"Verify every reference in refs.bib and tell me which ones don't exist."
"Reformat this manuscript for Cell: Summary, Highlights, eTOC blurb and STAR Methods."
"Run a PRISMA 2020 systematic review on exercise and depression: search strings, dedup, flow diagram."
"Write a point-by-point response to these three reviewers within the rebuttal limit."
"Build a citation graph of my Zotero library and find the papers that bridge the two clusters."
"Check my LaTeX source before I upload it to arXiv."
"Analyze this scRNA-seq dataset with scanpy and write the methods section."

Measured, not claimed

Every skill goes through a three-tier evaluation (methodology and full results):

Check	Result
Static quality rubric (structure, triggers, verification rules, tests)	Original skills: mean 95.5/100 · all skills: 95.3
Trigger routing: 50 reviewed prompts, including near misses	hit@3 1.00, hit@1 1.00; false-trigger 0.12
Citation verification on 18 labeled references (real, corrupted, fabricated)	precision 1.00, recall 1.00
No-slop writing: model abstracts with vs without unslop-academic-writing (pilot)	slop index 83% lower, clean share 68% → 89%
Task outcomes with vs without skill, blind LLM judge (pilot, 23 tasks)	skill wins 21/23, mean score 7.4 vs 4.3

Quality and routing gates run on every pull request, so a weak or overlapping skill can't be merged silently.

Featured skills

Skill	What it does
unslop-academic-writing	Removes AI slop from papers, theses and grants: linter plus rewrite playbook, in your voice
citation-verification	Detects fabricated or mismatched references via Crossref, OpenAlex and arXiv
scientific-writing	IMRaD manuscripts for any field, with reporting guidelines (CONSORT, STROBE, PRISMA)
ml-paper-writing	Publication-ready ML papers with official NeurIPS, ICML, ICLR, ACL, AAAI and COLM LaTeX templates
systematic-review-prisma	Protocol → search → dedup → screening → PRISMA 2020 flow diagram and checklist
rebuttal-and-response-to-reviewers	Triage reviews, then write journal responses or length-limited conference rebuttals
abstract-and-title	Abstracts to word limits, titles, keywords, highlights, significance statements
venue-templates	Journal, conference, poster and grant templates with verification-first compliance
paper-corpus-rag	Ask questions over your own PDFs and get answers citing the exact passage
firecrawl-research-index	Discover arXiv and biomedical papers in Firecrawl's hosted index, inspect records, and read question-matched passages
research-knowledge-graph	Citation, author and topic graphs exported to NetworkX, Neo4j, Gephi, Obsidian and graphify
database-lookup	One interface to 100+ public scientific databases
research-skill-creator	Turn your lab's workflows into tested, secure skills

Journal and venue formats

Nature · Nature Communications · Scientific Reports · Science · Science Advances · Cell · Neuron · Cell Reports ·
IEEE Transactions · IEEE Access · ACM (sigconf, acmsmall: CHI, KDD, SIGGRAPH) · Elsevier (elsarticle, CAS) ·
Springer LNCS · PLOS ONE · PLOS Biology · APA 7th edition · arXiv · NeurIPS · ICML · ICLR · ACL/ARR · AAAI ·
COLM · OSDI/NSDI/ASPLOS/SOSP · NIH and NSF grants · conference posters and slides.

Skill catalog

Grouped by category and generated from catalog/skills.json. The
documentation directory has a page per skill.

research-writing (15) · Scientific and research paper writing, grants, peer review, critical appraisal

Skill	What it does
abstract-and-title	Write and sharpen research paper titles, abstracts (structured and unstructured), keywords, highlights, significance statements, graphical-abstract text and la…
cover-letter-to-editor	Write journal submission cover letters, presubmission inquiries, transfer requests, and reviewer suggestion or exclusion lists that help a manuscript get past…
dhdna-profiler	Extract cognitive patterns and thinking fingerprints from any text.
markdown-mermaid-writing	Writes scientific documents and documentation as markdown with embedded Mermaid diagrams as the canonical, git-diffable source format.
market-research-reports	Build evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios.
ml-paper-writing	Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM.
peer-review	Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
rebuttal-and-response-to-reviewers	Plan and write responses to peer review, including journal "response to reviewers" letters for revise-and-resubmit, conference rebuttals under strict length li…
reproducibility-statement	Prepare the reproducibility, transparency and open-science parts of a paper, including data and code availability statements, reproducibility checklists (NeurI…
research-grants	Guides writing of competitive research grant proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC.
scholar-evaluation	Provide qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local qual…
scientific-critical-thinking	Evaluate scientific claims and evidence quality.
scientific-writing	Draft, revise, and audit scientific manuscripts or reports with explicit evidence provenance, reporting-guideline coverage, authorship accountability, confiden…
systems-paper-writing	Provides paragraph-level structural blueprints for 10-12 page systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys.
unslop-academic-writing	Remove AI slop from research writing so papers, theses, grant proposals, reviews and rebuttals read as written by a careful human expert.

journal-formats (11) · Journal, conference and venue formatting: LaTeX templates, submission checklists

Skill	What it does
acm-sigconf	Format ACM conference papers and journal articles with the acmart LaTeX class (sigconf, sigplan, acmsmall, acmlarge, acmtog, manuscript/review/anonymous modes)…
apa7	Format papers, theses and references in APA Style 7th edition for psychology, education, social sciences, nursing and business, covering student vs professiona…
arxiv-submission	Prepare and post preprints to arXiv without processing failures or leaks, covering TeX source packaging (.bbl, figures, case-sensitive paths), stripping privat…
cell-press	Prepare manuscripts for Cell Press journals (Cell, Molecular Cell, Neuron, Immunity, Cell Reports, Cell Systems, iScience, Cell Metabolism, Current Biology and…
elsevier-cas	Prepare submissions to Elsevier journals (including The Lancet family style notes, Cell-independent Elsevier titles, and thousands of society journals) using t…
ieee-transactions	Format and submit papers to IEEE journals (Transactions, Journals, Letters, IEEE Access) and IEEE conferences using the IEEEtran LaTeX class or Word templates,…
nature-portfolio	Prepare manuscripts for Nature and Nature Portfolio journals (Nature, Nature Communications, Nature Methods, Nature Biotechnology, Scientific Reports and other…
plos	Prepare manuscripts for PLOS journals (PLOS ONE, PLOS Biology, PLOS Computational Biology, PLOS Genetics, PLOS Medicine, PLOS Pathogens, PLOS Neglected Tropica…
science-aaas	Prepare manuscripts for Science and the Science family of journals (Science, Science Advances, Science Translational Medicine, Science Robotics, Science Immuno…
springer-lncs	Format papers for Springer Lecture Notes in Computer Science (LNCS) and related proceedings series (LNAI, LNBI, CCIS) and Springer Nature journals using the ll…
venue-templates	Prepare journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds.

literature-review (18) · Literature search, systematic reviews, citation management and reference managers

Skill	What it does
bgpt-paper-search	Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server.
bibtex-hygiene	Clean, deduplicate and validate BibTeX/BibLaTeX bibliographies before submission.
citation-management	Searches OpenAlex, PubMed, and Google Scholar, extracts metadata from DOIs, PMIDs, PMCIDs, arXiv IDs, and URLs via CrossRef, PubMed, and arXiv, then formats, d…
citation-verification	Verify that every reference in a manuscript really exists and matches its metadata, catching hallucinated, corrupted or mismatched citations before submission.
exa-search	Web toolkit powered by Exa, tuned for scientific and technical content.
firecrawl-research-index	Query Firecrawl Research Index paper endpoints for topic discovery, source metadata, question-matched passages, and citation-neighbor expansion.
liteparse	Local document and PDF parsing that returns spatial text with bounding boxes.
literature-review	Runs systematic literature reviews by searching PubMed, arXiv, bioRxiv, and Semantic Scholar (plus web search via parallel-cli), screening studies, extracting…
markitdown	Converts documents to Markdown with Microsoft MarkItDown (Python API, markitdown CLI, markitdown-ocr plugin, markitdown-mcp server), covering PDF, Word, PowerP…
open-notebook	Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis.
paper-lookup	Search 18 scholarly APIs for papers, preprints, citations, open-access full text, repository records, and journal OA status, and return results with reproducib…
paperclip	Search and read full-text biomedical papers, FDA/PMDA/EMA regulatory documents, clinical trial registries, and UniProt/PDB/ChEMBL entries with the Paperclip CL…
paperzilla	Chat with your agent about projects, recommendations, and canonical papers in Paperzilla.
parallel-web	Runs the parallel-cli tool for web workflows: web search, URL and PDF extraction, deep research reports, structured data enrichment of supplied rows, FindAll e…
pyzotero	Reads and writes Zotero libraries from Python with pyzotero 1.13.0 and the Zotero Web API v3: items, collections, tags, attachments, saved searches, full-text…
reference-manager-interop	Move and sync reference libraries between Zotero, Mendeley, EndNote, JabRef, Paperpile and writing tools (LaTeX/BibTeX, Word, Google Docs, Pandoc, Quarto, Over…
research-lookup	Compile current scholarly evidence for a scientific manuscript or research brief.
systematic-review-prisma	Plan, run and report systematic reviews and meta-analyses to PRISMA 2020 standards.

ideation-and-design (12) · Hypothesis generation, experimental design, statistics planning, validation

Skill	What it does
analytical-method-validation	Plans and evaluates analytical method validation, verification, and transfer using Python scripts (plan_validation, check_response, check_accuracy_precision, c…
brainstorming-research-ideas	Guides researchers through structured ideation frameworks to discover high-impact research directions.
consciousness-council	Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge.
creative-thinking-for-research	Applies cognitive science frameworks for creative thinking to CS and AI research ideation.
experimental-design	Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interp…
hypogenic	Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine for LLM-assisted hypothesis generation from labeled text datasets.
hypothesis-generation	Formulate evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurem…
iso-standards-readiness	Prepares and structurally reviews readiness evidence for ISO management-system and laboratory-competence standards - ISO 13485 medical device QMS, ISO 14971 de…
relsa-severity-assessment	Multivariate severity assessment and humane endpoint prediction for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-ba…
scientific-brainstorming	Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial re…
statistical-power	Sample-size and statistical power calculations for planning studies.
uncertainty-and-units	Track physical units and propagate measurement uncertainty in scientific calculations using pint and uncertainties.

data-science-and-ml (30) · Data analysis, statistics and machine learning libraries

Skill	What it does
aeon	This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation…
dask	Distributed computing for larger-than-RAM pandas/NumPy workflows.
datalad	Retrieve, version, and publish scientific datasets with DataLad and git-annex, and capture computational provenance with datalad run, rerun, and containers-run.
exploratory-data-analysis	Perform bounded, local exploratory analysis of explicitly supported scientific files.
get-available-resources	Detect host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a cl…
hugging-science	Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, e…
lamindb	Use when working with LaminDB, the open-source lineage-native lakehouse for biological datasets and models.
matlab	Designs, reviews, and migrates MATLAB R2026a and GNU Octave numerical code, covering functions with arguments blocks, arrays and indexing, tables and timetable…
modal	Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs.
networkx	Create, analyze, and visualize complex networks and graphs in Python with NetworkX.
optimize-for-gpu	GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster.
polars	High-performance DataFrame library for Python ETL, analytics, and pandas migration.
pufferlib	Version-aware guidance for PufferLib reinforcement-learning environments, vectorization, policies, PuffeRL training, evaluation, and safe checkpoint review.
pymc	Builds, fits, checks, and compares Bayesian models in Python with PyMC and ArviZ.
pymoo	Solves single- and multi-objective optimization problems in Python with pymoo, using NSGA-II, NSGA-III, MOEA/D, SPEA2, RVEA, GA, DE and PSO.
pytorch-lightning	Organizes PyTorch training code with the lightning package (PyTorch Lightning): LightningModule, LightningDataModule, Trainer, callbacks such as ModelCheckpoin…
scikit-learn	Covers classical machine learning in Python with scikit-learn (sklearn): classification and regression estimators, clustering and dimensionality reduction, pre…
scikit-survival	Builds, evaluates, and audits right-censored survival analysis workflows with scikit-survival (sksurv): Cox PH, Coxnet, IPC ridge, survival trees, forests, boo…
shap	Explain and audit machine-learning predictions with SHAP.
simpy	Builds, tests, and analyzes bounded process-based discrete-event simulations in Python with SimPy 4.1.2: Environment, Timeout, Process, AnyOf/AllOf conditions,…
stable-baselines3	Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API.
statistical-analysis	Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted rep…
statsmodels	Statistical models library for Python.
sympy	Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX.
timesfm-forecasting	Zero-shot time series forecasting with Google's TimesFM foundation model.
torch-geometric	PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor…
transformers	Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal ta…
umap-learn	Reduces and embeds high-dimensional data with umap-learn (UMAP) in Python, including 2D/3D visualization, supervised and semi-supervised UMAP, DensMAP, Aligned…
vaex	Processes and analyzes tabular datasets too large for RAM using Vaex, a Python library for lazy, out-of-core DataFrames over memory-mapped HDF5 and Arrow files…
zarr-python	Guides use of Zarr-Python 3 for storing chunked, compressed N-dimensional arrays and groups, with local, in-memory, ZIP, and fsspec-backed S3/GCS/HTTP stores,…

visualization-and-presentation (11) · Figures, schematics, posters, slides and talks

Skill	What it does
academic-plotting	Generates publication-quality figures for ML papers from research context.
generate-image	Generate or edit images with AI models through the OpenRouter Image API (Gemini, Seedream, Recraft, GPT-Image, Riverflow).
infographics	Generates infographics from natural-language prompts using Nano Banana Pro image generation, with optional Perplexity Sonar research for facts and a Gemini 3.6…
latex-posters	Creates research posters in LaTeX with beamerposter, tikzposter, or baposter, covering page sizes (A0, A1, 36x48 inch), multi-column layouts, color schemes, fi…
matplotlib	Low-level plotting library for full customization.
pptx-posters	Create and audit editable scientific posters in macro-free PowerPoint (.pptx) from author-approved local content and assets.
presenting-conference-talks	Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script.
scientific-schematics	Generates publication-style scientific diagrams as raster PNG images from a natural-language prompt, using Nano Banana 2 via OpenRouter, then scores each image…
scientific-slides	Build slide decks and presentations for research talks.
scientific-visualization	Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly.
seaborn	Statistical visualization with pandas integration.

knowledge-and-rag (7) · Vector databases, embeddings, RAG and knowledge graphs over research corpora

Skill	What it does
chroma	Open-source embedding database for AI applications.
faiss	Facebook's library for efficient similarity search and clustering of dense vectors.
paper-corpus-rag	Build grounded question answering and retrieval-augmented generation (RAG) over your own collection of research papers, with answers that cite the exact paper…
pinecone	Guides use of Pinecone, a managed serverless vector database, through its Python client and the LangChain and LlamaIndex integrations.
qdrant-vector-search	High-performance vector similarity search engine for RAG and semantic search.
research-knowledge-graph	Turn a bibliography or literature corpus into a knowledge graph of papers, authors, venues, topics and citation links, then analyze it (citation clusters, key…
sentence-transformers	Generates sentence, text, and image embeddings locally with the Python sentence-transformers (SBERT) library, using pre-trained Hugging Face models such as all…

scientific-databases (12) · Programmatic access to public scientific databases and APIs

Skill	What it does
bioservices	Unified Python interface to 40+ bioinformatics services.
cellxgene-census	Query the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data.
database-lookup	Query documented public database APIs with explicit endpoints, filters, pagination, and provenance.
depmap	Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles.
genomic-coordinates	Convert genomic intervals between coordinate conventions, normalise and compare variant representations, and detect assembly or contig-naming mismatches before…
gget	Queries 20+ bioinformatics databases and analysis services through the gget CLI and Python package, covering Ensembl gene search, info and sequences (ref, sear…
imaging-data-commons	Query and download public cancer imaging data from NCI Imaging Data Commons.
ncats-arax	Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationshi…
onekgpd	Query the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants.
ontology-term-resolution	Resolve free-text scientific labels to ontology term IDs and validate existing CURIEs against the EBI Ontology Lookup Service (OLS4).
pytdc	Uses the PyTDC package (import tdc, Therapeutics Data Commons) to discover therapeutic ML tasks from tdc.metadata, plan and load approved datasets, apply task-…
usfiscaldata	Query the U.S.

life-sciences (33) · Genomics, single-cell, proteomics, neuroscience and systems biology

Skill	What it does
13c-metabolic-flux	Estimates intracellular metabolic fluxes from steady-state carbon-13 isotope-tracing measurements using validated atom maps, mfapy isotope simulation, constrai…
alphagenome	Look up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and qua…
anndata	Data structure for annotated matrices in single-cell analysis.
arboreto	Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3).
bids	Organizes, queries, validates, and converts neuroscience and biomedical datasets using the Brain Imaging Data Structure (BIDS) standard, covering MRI, PET, EEG…
biopython	Provides Biopython (Bio.Seq, Bio.SeqIO, Bio.Align, Bio.Entrez, Bio.Blast, Bio.PDB, Bio.Phylo, Bio.motifs, Bio.SeqUtils, Bio.Restriction) for sequence handling,…
bulk-rnaseq	End-to-end bulk RNA-seq orchestrator — takes raw FASTQ reads through QC and trimming (FastQC, fastp/Trim Galore), alignment and quantification (STAR, Salmon, f…
cobrapy	Runs constraint-based metabolic modeling with COBRApy (Python, import cobra) on genome-scale models in SBML, JSON, YAML, or MATLAB format.
deeptools	Runs deepTools command-line programs on NGS alignment data: bamCoverage and bamCompare for BAM to bigWig/bedGraph with RPGC, CPM, RPKM or BPM normalization, mu…
esm	Covers the EvolutionaryScale/Biohub esm Python SDK: ESM3 generative protein design (sequence, structure and function tracks, chain-of-thought), ESMC embeddin…
etetoolkit	Analyze, manipulate, compare, annotate, and visualize phylogenetic or other hierarchical trees with ETE 4.
flowio	Read, inspect, and write Flow Cytometry Standard (FCS) 2.0, 3.0, and 3.1 files with FlowIO.
folklore-variant-evidence	Retrieve ClinGen gene-disease validity assertions for a public gene or disease, and review source-linked public evidence and literature for one supported GRCh3…
geniml	Plans and audits local genomic-interval machine learning workflows with Geniml (0.8.4) and Gtars: validates BED files against chromosome sizes and assembly con…
genomic-intelligence	Predict regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models — no…
gtars	Inspects and plans work with Gtars, the Rust/Python/CLI toolkit for genomic intervals: BED RegionSet set algebra (reduce, setdiff, intersect, closest, cluster,…
matchms	Process, clean, compare, and search tandem mass spectra with matchms.
neurokit2	Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, var…
neuropixels-analysis	Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface.
nextflow	Build, run, and debug Nextflow data pipelines and nf-core workflows end to end.
pacsomatic	Operator toolkit for nf-core/pacsomatic matched tumor-normal workflows from BAM inputs.
pathogen-variant-surveillance	Query live pathogen genomic surveillance data through the GenSpectrum LAPIS API to find which viral lineages are circulating now, how fast they are growing, an…
pathway-enrichment	Run pathway and gene-set enrichment analysis on gene lists or ranked gene data, then interpret the results.
polars-bio	Python library polars-bio for genomic interval operations and bioinformatics file I/O on Polars DataFrames, built on Arrow and DataFusion.
pydeseq2	Runs differential expression analysis on bulk RNA-seq count data with PyDESeq2, the Python port of DESeq2.
pyopenms	Complete mass spectrometry analysis platform.
pysam	Python/HTSlib workflows for genomic files.
scanpy	Standard single-cell RNA-seq analysis pipeline.
scikit-bio	Python library scikit-bio for biological sequence and community-ecology analysis: DNA/RNA/protein sequences, pair_align alignment, phylogenetic trees (NJ, UPGM…
scvelo	Performs RNA velocity analysis with scVelo on single-cell RNA-seq AnnData objects that have spliced and unspliced layers (from velocyto, STARsolo, kallisto/bus…
scvi-tools	Trains and applies scvi-tools probabilistic deep generative models (scVI, scANVI, totalVI, MultiVI, PeakVI, DestVI, Solo, CellAssign, MrVI and others) on AnnDa…
tiledbvcf	Stores and queries genomic variant data in TileDB-VCF datasets using the tiledbvcf Python API and CLI (create, store, export, list, stat).
waypoint-bio	Use when working with Outpost Bio's open microbiome foundation models - the Waypoint checkpoints (Waypoint-6m, Waypoint-45m, Waypoint-170m), the Atlas pretrain…

chemistry-and-drug-discovery (12) · Cheminformatics, molecular modelling, protein design and pharmacology

Skill	What it does
adaptyv	How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval.
datamol	Wraps RDKit through the datamol Python library (import datamol as dm) for molecular cheminformatics, returning native rdkit.Chem.Mol objects.
deepchem	Molecular ML with diverse featurizers and pre-built datasets.
diffdock	DiffDock and DiffDock-L molecular docking.
medchem	Filters and triages small-molecule libraries with the Python medchem library (datamol-io, v2.0.5) on top of RDKit and datamol.
molecular-dynamics	Runs and analyzes molecular dynamics simulations using OpenMM and MDAnalysis.
molfeat	Converts SMILES strings or RDKit/datamol molecules into numerical features using molfeat (0.11.0), which provides calculators, scikit-learn compatible transfor…
pkpd-modeling	Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD,…
rdkit	Guides use of RDKit (Python) for reading and writing SMILES, MOL/SDF, and InChI, computing descriptors (MW, LogP, TPSA), generating Morgan/MACCS/atom-pair fing…
rowan	Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API.
tamarind	Access a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs r…
torchdrug	Build and troubleshoot TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, p…

clinical-and-health (7) · Clinical research, medical imaging, pathology and health data

Skill	What it does
clinical-decision-support	Prepare and validate research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts.
clinical-reports	Generates fail-closed draft JSON templates and runs local deterministic structure and consistency checks for clinical reports: CARE case reports, radiology, pa…
histolab	Extracts tiles and preprocesses H&E whole slide images with the histolab Python library (OpenSlide), covering slide inspection, tissue masks (TissueMask, Bigge…
pathml	Covers local, research-only computational pathology with PathML 3.0.5: loading and tiling whole-slide images (OpenSlide, Bio-Formats), preprocessing and QC pip…
pydicom	Reads, inspects, writes, and transforms local DICOM files with pydicom 3.x (dcmread, dcmwrite, pydicom.pixels), including metadata, transfer syntaxes, compress…
pyhealth	Builds clinical deep-learning pipelines with PyHealth using its Dataset → Task → Model → Trainer → Metrics pattern.
treatment-plans	Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed pro…

physical-sciences (10) · Physics, astronomy, quantum computing, materials and earth science

Skill	What it does
astropy	Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, W…
cirq	Google quantum computing framework.
fluidsim	Plan, configure, inspect, restart, and analyze bounded FluidSim computational-fluid-dynamics simulations with explicit numerical-validity and HPC safety checks.
geomaster	Provides geospatial and Earth observation workflows using GeoPandas, Rasterio, GDAL, Xarray, Shapely, Laspy, PDAL, Google Earth Engine, and STAC/Planetary Comp…
geopandas	Guidance and local audit CLIs for Python workflows using GeoPandas 1.1.4 GeoSeries and GeoDataFrame for planar vector data: CRS handling, geometry validity and…
openpiv	Particle Image Velocimetry (PIV) analysis with OpenPIV.
pennylane	Hardware-agnostic quantum ML framework with automatic differentiation.
pymatgen	Analyzes, validates, converts, and transforms crystal structures and molecules with pymatgen.
qiskit	Build, simulate, transpile, and execute quantum circuits with Qiskit and IBM Quantum Runtime.
qutip	Simulate and audit closed and open quantum-system models with QuTiP 5, including deterministic, trajectory, steady-state, spectral, and phase-space workflows.

lab-automation (11) · Lab platforms, ELNs, liquid handlers and manufacturing integrations

Skill	What it does
benchling-integration	Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries.
dnanexus-integration	Build and operate reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow.
fictiv	Drives the Fictiv on-demand manufacturing web app (app.fictiv.com) in the user's browser, since there is no public API.
ginkgo-cloud-lab	Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Ca…
lab-hardware-cad	Design custom laboratory hardware as parametric build123d models and export fabrication-ready STEP, STL, and DXF files - microfluidic chips and molds, optomech…
labarchive-integration	Securely integrate with the official LabArchives ELN REST-like API and Inventory API v1.
latchbio-integration	Build, register, debug, and operate bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic exe…
omero-integration	Securely inspect and automate microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and…
opentrons-integration	Author, review, migrate, simulate, and troubleshoot official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots.
protocolsio-integration	Reads, validates, and exports protocols.io data using the documented REST v3/v4 endpoints and the official MCP endpoint, and builds non-executing mutation plan…
pylabrobot	Develop and review PyLabRobot lab-automation resources, liquid-handling plans, offline simulations, and supported-device integrations.

research-automation (9) · Autonomous research loops, agent harnesses and research artifacts

Skill	What it does
ara-compiler	Compiles any research input — PDF papers, GitHub repositories, experiment logs, code directories, or raw notes — into a complete Agent-Native Research Artifact…
ara-research-manager	Records research provenance at the end of a coding or research session by scanning the conversation and writing decisions, experiments, dead ends, pivots, clai…
ara-rigor-reviewer	Performs ARA Seal Level 2 semantic epistemic review of an Agent-Native Research Artifact directory, reading PAPER.md, logic/claims.md, logic/experiments.md, an…
arbor	Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree…
autoresearch	Orchestrates end-to-end autonomous AI research projects using a two-loop architecture.
autoskill	Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing research-agent-skills, and draft new skills (or compo…
pi-agent	Build with and use Pi, the minimal terminal coding harness.
research-agent-skills	Navigate the Research Agent Skills collection by Kalaris Labs for academia across AI, machine learning, biology, chemistry, medicine, physics, and academic wri…
research-skill-creator	Create, improve and test agent skills for research workflows (paper writing, lab protocols, analysis pipelines, domain databases) that meet the Agent Skills sp…

ml-training (32) · Model architectures, tokenization, fine-tuning, post-training, distributed training, optimization

Skill	What it does
awq-quantization	Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss.
axolotl	Provides guidance for fine-tuning large language models with Axolotl, covering YAML training configs, LoRA and QLoRA, preference training with DPO, KTO, ORPO a…
deepspeed	Covers DeepSpeed for distributed deep learning training and I/O: ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8 training, 1-bit Adam, sparse att…
distributed-llm-pretraining-torchtitan	Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP).
fine-tuning-with-trl	Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward m…
gguf-quantization	GGUF format and llama.cpp quantization for efficient CPU/GPU inference.
gptq	Quantizes LLMs to 4-bit (also 3-bit) with GPTQ using group-wise quantization (group size 128 by default), via AutoGPTQ and transformers.
grpo-rl-training	Guides GRPO (Group Relative Policy Optimization) fine-tuning of language models with the TRL library, including GRPOTrainer configuration, composing multiple r…
hqq-quantization	Half-Quadratic Quantization for LLMs without calibration data.
huggingface-accelerate	Wraps existing PyTorch training scripts with HuggingFace Accelerate (Accelerator class, accelerate config, accelerate launch) so the same code runs on CPU, sin…
huggingface-tokenizers	Provides the HuggingFace Tokenizers library (Rust core with Python and Node.js bindings) for training and using BPE, WordPiece, and Unigram tokenizers.
implementing-llms-litgpt	Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral).
llama-factory	Guides fine-tuning of large language models with LLaMA-Factory, covering the WebUI no-code interface, training across 100+ supported models, quantized QLoRA at…
mamba-architecture	Explains how to use Mamba selective state-space models (state-spaces/mamba package, Mamba-1 with d_state=16 and Mamba-2 with multi-head structure and d_state=1…
miles-rl-training	Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime.
ml-training-recipes	Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics.
nanogpt	Provides nanoGPT, Karpathy's minimal PyTorch GPT implementation (model.py and train.py), with workflows for training character-level Shakespeare on CPU, reprod…
openrlhf-training	High-performance RLHF framework with Ray+vLLM acceleration.
optimizing-attention-flash	Enables Flash Attention for transformer models using PyTorch native scaled_dot_product_attention (PyTorch 2.2+) or the flash-attn library, including multi-quer…
peft-fine-tuning	Fine-tunes LLMs with Hugging Face PEFT, using LoRA, QLoRA, IA3, AdaLoRA, prefix tuning, and prompt tuning so that under 1% of parameters are trained.
pytorch-fsdp2	Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing.
pytorch-lightning-distributed	High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate.
quantizing-models-bitsandbytes	Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss.
ray-train	Distributed training orchestration across clusters.
rwkv-architecture	Covers the RWKV (Receptance Weighted Key Value) architecture, an RNN/Transformer hybrid with O(n) inference and no KV cache, including RWKV-7, its parallel GPT…
sentencepiece	Language-independent tokenizer treating text as raw Unicode.
simpo-training	Simple Preference Optimization for LLM alignment.
slime-rl-training	Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework.
torchforge-rl-training	Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms.
training-llms-megatron	Trains large language models (2B-462B parameters) with NVIDIA Megatron-Core using tensor, pipeline, sequence, context, and expert parallelism, plus FP8 on H100…
unsloth	Provides guidance on fine-tuning large language models with Unsloth, a library for faster, lower-memory training using LoRA and QLoRA, based on its official do…
verl-rl-training	Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL).

ml-evaluation-and-safety (11) · Evaluation harnesses, interpretability and safety/alignment

Skill	What it does
constitutional-ai	Anthropic's method for training harmless AI through self-improvement.
evaluating-code-models	Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics.
evaluating-llms-harness	Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag).
llamaguard	Classifies LLM prompts and responses as safe or unsafe using Meta's LlamaGuard (7B v1, 8B v2 and v3) across six categories: violence and hate, sexual content,…
nemo-evaluator-sdk	Evaluates LLMs across 100+ benchmarks from 18+ harnesses (MMLU, HumanEval, GSM8K, safety, VLM) with multi-backend execution.
nemo-guardrails	Adds runtime safety rails to LLM applications with NVIDIA NeMo Guardrails, configured through Colang 2.0 flows.
nnsight-remote-interpretability	Provides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution.
prompt-guard	Classifies text with Meta's Prompt Guard, an 86M-parameter model loaded from HuggingFace, into BENIGN, INJECTION or JAILBREAK labels to detect prompt injection…
pyvene-interventions	Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework.
sparse-autoencoder-training	Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features.
transformer-lens-interpretability	Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation…

ml-inference-and-ops (13) · Inference serving, GPU infrastructure, MLOps and observability

Skill	What it does
experiment-tracking-swanlab	Tracks ML experiments with SwanLab, an open-source tool covering swanlab.init, config and metric logging, scalar charts, and media logging (images, audio, text…
lambda-labs-gpu-cloud	Reserved and on-demand GPU cloud instances for ML training and inference.
langsmith-observability	LLM observability platform for tracing, evaluation, and monitoring.
llama-cpp	Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware.
mlflow	Tracks machine learning experiments and manages model lifecycles with MLflow, covering mlflow.log_param, log_metric and log_artifact, autologging for scikit-le…
modal-serverless-gpu	Serverless GPU cloud platform for running ML workloads.
phoenix-observability	Open-source AI observability platform for LLM tracing, evaluation, and monitoring.
serving-llms-vllm	Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching.
sglang	Fast structured generation and serving for LLMs with RadixAttention prefix caching.
skypilot-multi-cloud-orchestration	Multi-cloud orchestration for ML workloads with automatic cost optimization.
tensorboard	Logs and views ML training data in TensorBoard using PyTorch SummaryWriter and TensorFlow/Keras callbacks: scalars, images, text, histograms, model graphs, emb…
tensorrt-llm	Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency.
weights-and-biases	Logs and tracks machine learning experiments with Weights & Biases (W&B, wandb): metrics, hyperparameters, checkpoints, sweeps, artifacts with lineage, model r…

llm-applications (9) · Agent frameworks, prompt engineering and structured generation

Skill	What it does
autogpt-agents	Autonomous AI agent platform for building and deploying continuous agents.
crewai-multi-agent	Multi-agent orchestration framework for autonomous AI collaboration.
dspy	Builds and optimizes language model programs with DSPy (Stanford NLP), using Signatures, modules (Predict, ChainOfThought, ReAct, ProgramOfThought) and optimiz…
evolving-ai-agents	Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms.
guidance	Constrains LLM output during generation with Guidance (Microsoft Research), using regex, select() choices, context-free grammars, token healing, and @guidance…
instructor	Extracts structured, validated data from LLM responses using the Instructor Python library with Pydantic response models, including nested models, enums, custo…
langchain	Framework for building LLM-powered applications with agents, chains, and RAG.
llamaindex	Data framework for building LLM applications with RAG.
outlines	Generates guaranteed-valid structured output from LLMs with Outlines (dottxt.ai), constraining token sampling via finite state machines for JSON schemas, Pydan…

multimodal-and-emerging (18) · Vision, audio, robotics, data processing and emerging techniques

Skill	What it does
audiocraft-audio-generation	PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen).
blip-2-vision-language	Explains how to use Salesforce BLIP-2 (Q-Former bridging a frozen image encoder and an LLM such as OPT or FlanT5) through HuggingFace Transformers and LAVIS fo…
clip	OpenAI's model connecting vision and language.
evaluating-cosmos-policy	Evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments.
fine-tuning-openvla-oft	Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning…
fine-tuning-serving-openpi	Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, an…
knowledge-distillation	Compress large language models using knowledge distillation from teacher to student models.
llava	Large Language and Vision Assistant.
long-context	Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques.
model-merging	Merge multiple fine-tuned models using mergekit to combine capabilities without retraining.
model-pruning	Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT.
moe-training	Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace.
nemo-curator	GPU-accelerated data curation for LLM training.
ray-data	Scalable data processing for ML workloads.
segment-anything-model	Foundation model for image segmentation with zero-shot transfer.
speculative-decoding	Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques.
stable-diffusion-image-generation	Generates images with Stable Diffusion models (SD 1.5, SDXL, SD 3.0, Flux) through the HuggingFace Diffusers library, covering text-to-image, image-to-image, i…
whisper	Transcribes and translates audio with OpenAI's Whisper (openai-whisper Python package and whisper CLI), covering model sizes from tiny to large plus turbo, lan…

Documentation

• Getting started: Installation · Quickstart
• Guides: Write a research paper with AI · Thesis and dissertation · No-slop academic writing · Systematic reviews · Skills by field
• Reference: CLI · Architecture · Benchmarks · Security · Contributing
• For AI search and agents: llms.txt

Security

Skills are instructions and code that your agent runs with your permissions, so they are treated like software
dependencies. Every pull request runs spec validation, a prompt-injection and payload linter over all files, the Cisco
AI Defense skill-scanner, CodeQL, Semgrep, Bandit, secret scanning and dependency review. Scripts may only contact reviewed
domains. Releases are checksummed, signed and attested, and the installer detects tampered files. Details and
vulnerability reporting: SECURITY.md.

FAQ

Can AI write my research paper?

It can make you much faster at outlining, drafting from your results, editing, formatting and reference checking.
You remain the author: every claim, number and citation must be yours and verified. Disclose AI assistance as your venue requires.

How do I stop AI from inventing citations?

Never accept references written from memory. Export them from publishers or Crossref, then run citation-verification.

How do I make AI-assisted writing not sound like AI?

Use unslop-academic-writing. It fixes vague content before word choice and calibrates to a sample of your own writing.
It improves clarity. It is not a way to hide AI use.

Is it free? Can I use it at my university or company?

Yes. MIT license. Some skills document third-party software or bundle publisher templates with their own licenses
(see THIRD_PARTY_NOTICES.md).

More in the FAQ.

Contributing

Researchers are welcome to contribute skills for their field. Start with CONTRIBUTING.md and the
research-skill-creator skill. make check runs everything CI runs.
See also GOVERNANCE.md and SUPPORT.md.

Citation

If Research Agent Skills helped your work, please cite it ("Cite this repository" on GitHub uses CITATION.cff):

@software{chowdhury_research_agent_skills_2026,
  author  = {Chowdhury, Sayan and {Kalaris Labs}},
  title   = {Research Agent Skills: AI agent skills for academic writing and scientific research},
  year    = {2026},
  version = {1.1.0},
  url     = {https://github.com/KalarisLabs/research-agent-skills},
  license = {MIT}
}

License

MIT © 2026 Kalaris Labs. Portions of some skills are adapted from third-party MIT-licensed projects, and
their notices are in THIRD_PARTY_NOTICES.md.

---