agent-toolkit
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Minimalistic, project-agnostic skills and rules for AI coding agents
agent-toolkit
A collection of project-agnostic, generic agentic tools for common engineering tasks.
Designed to work with any kind of AI agent on any kind of software development project.
Skills
Agentic skills I use across all my software engineering projects — solo or in a team.
Not bound to any specific language or framework.
Skill & doc authoring
The tools I use to create and continuously improve the skills and docs my agents rely on —
following my approach to agentic skills,
I improve the behavior of my agents literally every day.
- compact-docs-writer — write docs with maximum token
economy. - compact-skill-creator — create or edit skills,
keeping them lean and efficient. - self-improve — capture a lesson into the skill or doc that
governs it, so mistakes aren't repeated and agents keep getting better at the project.
Context & memory hygiene
Maintenance to run from time to time, keeping your setup tidy and your context sharp.
- context-checkup — audit what auto-loads into a
session's context and spot what can be trimmed to reduce startup tokens.
Why this is important. - memory-doctor — clean up the memory your agents keep
auto-accumulating, moving the relevant parts to the right place.
More about this.
Task workflow
My daily routine for any programming task, following the
RPA workflow:
fetch a ticket, refine it, plan it, then let a fresh session execute it.
- fetch-ticket — download a ticket from any tracker
(e.g. GitHub, Jira, Azure DevOps) and save it as a self-contained markdown file. - refine-ticket — define the "what" of a task: validate the
ticket against the codebase, settle open decisions together, and save a
self-contained requirements doc a fresh session can pick up. - create-implementation-plan — define the
"how" of a task: turn the requirements into an implementation plan, settling the technical
decisions together, then save it for a fresh session to execute. - create-manual-test-instructions —
derive manual test steps from a ticket or requirements file, useful for the developer or QA.
Review assistants
Powerful review helpers that are able to quickly check the codebase when assisting with code or
ticket reviews.
- fetch-pr-review — collect the comments left by other
reviewers on your PR and save them into a markdown doc, ready to address (or push back on), for
example via refine-ticket. - review-code-assistant — assist you in reviewing a
PR or branch. - review-ticket — triage a ticket before anyone picks it
up, spotting decisions to raise with the team. - fresh-eyes-review — let an agent with a fresh
perspective review a changeset and report its findings back to the main session.
Code checks
- run-nx-checks — run format, lint, test, and build on the
affected projects of an Nx workspace and fix unambiguous failures.
Rules
A set of generic, project-agnostic, opinionated rules that apply to any codebase.
- compact-governing-docs — run the matching compaction
skill before writing or editing a governing doc, so it stays compact. - git-read-only-by-default — never commit, push, merge,
or otherwise write to git without an explicit instruction. - no-ai-attribution — no AI co-author trailers on commits and
no "Generated with" footers on PRs. - no-nonsense-comments — write only code comments that
still make sense to a future reader with zero context, prefer no comment over a low-value one. - plans-directory — save plans and similar documents under the
project's planning directory, following a certain structure. - self-contained-docs — keep planning and design docs
concise and executable by a fresh session with no prior context. - self-improve-on-correction — when the user corrects
something a skill or doc governs, offer to persist the lesson via
self-improve. - write-realistic-texts — make user-facing text sound
natural, no AI-generated nonsense.
How to install
Quick Install / Update
Install in one command:
git clone https://github.com/FrancescoBorzi/agent-toolkit.git && cd agent-toolkit && ./install.sh
Update in one command:
cd agent-toolkit && git pull && ./install.sh
Install via symlinks
install.sh symlinks every rule and skill from this repo into your user's config.
This means the skills and rules will automatically be available in all your projects without
copying files around.
By default rules go to ~/.claude/rules and skills to ~/.claude/skills, but you can easily
override this.
First clone the repo (or your own fork):
git clone https://github.com/FrancescoBorzi/agent-toolkit.git && cd agent-toolkit
Then you can run:
./install.sh
This will link all rules and all skills. To customize, use the options below:
./install.sh --rules-only # link rules only
./install.sh --skills-only # link skills only
./install.sh --skills-dir DIR # custom skills destination (e.g. a project's .claude/skills)
./install.sh --rules-dir DIR # custom rules destination
./install.sh --force # overwrite existing files/symlinks
./install.sh --help
Each rule and skill is linked individually.
You can also skip the script and symlink just the ones you want by hand:
ln -s "$(pwd)/rules/no-nonsense-comments.md" ~/.claude/rules/
ln -s "$(pwd)/skills/run-nx-checks" ~/.claude/skills/
Start a new session and run /context to confirm everything is loaded. Rules and skills apply at
the user level (all projects); to scope them to one project, symlink into that repo's.claude/rules/ or .claude/skills/ instead.
Install with agentwheel
agentwheel installs this repo's rules and skills
into your agent and keeps them in sync across Claude, Codex, Copilot, and other runtimes, from
one source. This repo ships an openpack.json manifest, so it's a first-class
OpenPack package (requires agentwheel ≥ 0.9.0). Run it from where you want it installed (~ for
user level, or a project root):
npx agentwheel install github:FrancescoBorzi/agent-toolkit --adapter claude
Swap --adapter claude for codex, copilot, etc. to target other agents. For dry runs,
tracking updates, named targets, profiles, or more controlled add → plan → install flows,
see the agentwheel documentation.
Only want specific pieces instead of everything? Select them by <type>/<name>, for example one
skill plus one rule:
npx agentwheel install github:FrancescoBorzi/agent-toolkit --adapter claude \
--select skills/run-nx-checks,rules/no-nonsense-comments.md
--select is repeatable or comma-separated.
The manifest also marks hard internal dependencies. For example, selectingskills/compact-skill-creator also installs skills/compact-docs-writer.
Install skills via skills.sh
You can also use the skills.sh installer to install the skills from this repo:
npx skills add FrancescoBorzi/agent-toolkit
Install skills via Claude Code plugin marketplace
Add the marketplace, then install the toolkit:
/plugin marketplace add FrancescoBorzi/agent-toolkit
/plugin install agent-toolkit
All skills install together, namespaced as /agent-toolkit:<skill> (for example/agent-toolkit:memory-doctor).
Artifact relationships
Some skills and rules form a workflow or rely on each other. Hard dependencies are encoded inopenpack.json; suggested next steps remain documented in the skill text.
flowchart TD
fetch_ticket["fetch-ticket"] --> refine["refine-ticket"]
fetch_pr["fetch-pr-review"] --> refine
review_ticket["review-ticket"] --> fetch_ticket
refine --> manual["create-manual-test-instructions"]
refine --> plan["create-implementation-plan"]
self_rule["self-improve-on-correction rule"] --> self["self-improve"]
self --> compact["compact-skill-creator"]
self --> compact_docs["compact-docs-writer"]
compact --> compact_docs
memory_doctor["memory-doctor"] --> self
compact_gov["compact-governing-docs rule"] --> compact
compact_gov --> compact_docs
plans_rule["plans-directory rule"] -. informs .-> fetch_ticket
plans_rule -. informs .-> fetch_pr
plans_rule -. informs .-> refine
plans_rule -. informs .-> manual
plans_rule -. informs .-> plan
plans_rule -. informs .-> review_ticket
docs_rule["self-contained-docs rule"] -. informs .-> fetch_ticket
docs_rule -. informs .-> fetch_pr
docs_rule -. informs .-> refine
docs_rule -. informs .-> manual
docs_rule -. informs .-> plan
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