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SUMMARY

A set of AI agent skills for research and development tasks.

README.md

AI agents skills set

A set of AI agent skills designed to solve research and development tasks.

Skills Overview

Research

General-purpose research and ideation skills.

Skill Description
deeper-research Conduct thorough, multi-source research using Tree of Thoughts methodology. Produces cited, multi-perspective syntheses with confidence ratings and evidentiary hierarchy.
explore Enter explore mode — a thinking partner for exploring ideas, investigating problems, and clarifying requirements before implementation.
scamper Transform existing ideas into improved variants using the SCAMPER method (Substitute, Combine, Adapt, Modify, Put to other use, Eliminate, Reverse).
triz-solver Solve inventive engineering, product, process, or system-design problems using TRIZ methodology and contradiction resolution.
vibe-research Iterative research copilot for exploratory "vibe research" — progressively sharpens broad topics into high-value lines of inquiry.

Engineering Research

Skills that automate the Iterative Engineering Research Methodology — from initial brief to final report. See engineering/README.md for the full workflow.

Skill Description
research-init Bootstrap a new research project: create the directory structure, populate the brief, and register the project in the index.
research-prior-art Search for and catalog existing work — papers, CVEs, tools, talks, blogs, standards — with relevance ratings.
research-hypothesis Create, update, and manage hypothesis cards and the hypothesis graph (Mermaid DAG + catalog).
research-experiment Guide experiment design, execution tracking, and result recording for a research hypothesis.
research-decision Analyze hypothesis results and recommend continue, pivot, kill, or fork decisions.
research-synthesis Execute the synthesis phase: determine report mode, walk the hypothesis graph, and generate the final report.
research-status Generate a comprehensive status overview of a research project.

Agentic

Skills for building and maintaining AI agent systems.

Skill Description
prompts-review Review all prompts in a codebase for optimality, balancing effectiveness and token efficiency. Covers explicit, string-literal, and dynamically constructed prompts.

Security

Skills for security analysis and policy generation.

Skill Description
security-policy-generator Analyze a project repository and generate a comprehensive SECURITY.md with threat model, security architecture, and secure coding guidelines.

Development

Skills for writing secure, idiomatic, production-ready Go applications — from specification to correct code.

Secure Go

Skill Description
secure-go Write secure Go applications through everyday practices — idiomatic patterns, standard library defaults, OWASP Top 10 coverage, and a security-focused linter setup. Covers access control, data protection, input handling, secure design, configuration, dependencies, authentication, error handling, integrity, logging, external objects, and SSRF.

Specification-Driven Development

Skills that implement a Specification-Driven Development workflow — from bootstrapping a spec system to keeping specs aligned with code. See development/sdd/README.md for the full workflow.

Skill Description
vibespec-init Initialize a specification system for a project from scratch by analyzing the codebase and generating the initial set of specs.
vibespec-create Create a new specification document following the project's spec system templates and conventions.
vibespec-consult Proactively consult project specifications before making structural changes to avoid violating documented invariants.
vibespec-update Update existing specification documents after code changes that alter documented behavior, interfaces, or invariants.
vibespec-check Detect discrepancies between project specifications and actual code, interactively resolving each finding with the user.

Idiomatic Go

Skills for writing idiomatic, correct, and performant Go code.

Skill Description
go-code-organization Well-organized Go code and projects — variable scoping, nested control flow, and project structure.
go-concurrency-foundations Foundational concurrency concepts — concurrency vs parallelism, goroutine scheduling, and channel semantics.
go-concurrency-practice Practical Go concurrency rules — goroutines, channels, mutexes, and synchronization patterns.
go-control-structures Correct usage of range loops, break statements, and defer in loops.
go-data-types Common mistakes with basic data types, slices, and maps.
go-error-management Go error management — panic usage, error wrapping, and checking error types and values.
go-functions-methods Best practices for Go functions and methods — receivers, named results, nil receivers, and defer.
go-optimizations Performance-sensitive Go code — CPU cache, escape analysis, allocation reduction, profiling, and GC tuning.
go-standard-library Common Go standard library mistakes — time.Duration, JSON handling, and HTTP pitfalls.
go-strings Correct and efficient Go string code — iteration, concatenation, and conversions.
go-testing-mistakes Common Go testing mistakes — test categorization, race detection, and test execution.

Quick Start

Installation

These skills can be installed using the Skills CLI from skills.sh:

# Install all skills collection
npx skills add v0lka/skills --all --full-depth
# Install a specific skill
npx skills add v0lka/skills --skill <skill-name> --full-depth

Manual Usage

To use a skill manually, reference the agent skills documentation or load it via your AI agent interface.

License

MIT License — see LICENSE for details.

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