skills
CLAUDE.md5 starsChanged 4 months agoMITView on GitHub
This is an agent skills repository — 9 self-contained skills that teach an AI coding agent (Claude Code/Cowork, Codex, Cursor, OpenCode, or any agent supporting the skills format) how to do one software-delivery job well. It is not an application: no root build system, no package manager, no top-level test suite. Individual skills ship their own helper scripts. README.md is the authoritative human catalogue — it lists all 9 skills grouped by delivery phase (Bid/Discover/Design, Build, Review/Verify, Maintain, Communicate/Deliver, Measure).…
In this repository9 other files it gives its agents.
- agent-insightsSkill
- code-review-expertSkill
- declawedSkill
- gap-analysisSkill
- html-diagramSkill
- research-plan-implementSkill
- spec-codingSkill
- spec-compactSkill
- spec-lintSkill
The file
We split this CLAUDE.md into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 33
When you change a skill's behavior, bump both.
- Very specific: line 71
Keep references/ documents focused and structured.
- Very specific: line 72
When editing a skill, mirror its existing conventions rather than the repo average — skills vary intentionally (some fan out sub-agents, …
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is an agent skills repository — 9 self-contained skills that teach an AI coding agent (Claude Code/Cowork, Codex, Cursor, OpenCode, or any agent supporting the skills format) how to do one software-delivery job well. It is not an application: no root build system, no package manager, no top-level test suite. Individual skills ship their own helper scripts.
README.md is the authoritative human catalogue — it lists all 9 skills grouped by delivery phase (Bid/Discover/Design, Build, Review/Verify, Maintain, Communicate/Deliver, Measure). Read it before assuming what a skill does.
Skill Anatomy
Each skill lives in its own top-level directory and follows the same shape:
SKILL.md— the authoritative skill definition the agent loads. Changing it directly changes agent behavior when the skill triggers.README.md— human documentation (where present).references/— checklists, catalogues, templates the skill loads on demand.agents/— sub-agent definitions, for skills that fan out work (research-plan-implement,code-review-expert).scripts/— helper scripts the skill runs instead of improvising.tests/— fixture generators (e.g.make_fixtures.pyinagent-insights).
SKILL.md frontmatter
YAML frontmatter carries name, description (the trigger text — the agent matches user requests against it), and metadata.version. Some skills add blob_files: listing binary assets shipped with the skill.
Versioning invariant
Two places record every skill's version and must stay in sync:
metadata.versionin the skill'sSKILL.mdfrontmatter.- The skill's entry in versions.json (the latest-version manifest).
When you change a skill's behavior, bump both. versions.json is how an installed copy checks whether it is current.
Plugin distribution
The repo doubles as a Claude Code plugin marketplace. Two manifests live in .claude-plugin/ (see the plugin-marketplaces guide):
marketplace.json— catalogai-sdlcwith one plugin entry,ai-sdlc-skills. It usessource: "./"plus an explicitskillsarray listing all 9 skill directories, rather than the defaultskills/scan.plugin.json— plugin metadata (author, homepage, license). It carries noversionon purpose: the plugin is git-hosted and actively developed, so every commit counts as a new version (SHA-driven updates). Adding a pinnedversionmeans you must bump it on every release or installed copies never update — hence the validator's no-version warning is expected.
Because the entry uses an explicit skills list, adding or removing a skill means editing the skills array in marketplace.json — a new top-level skill directory won't ship through the plugin until it's listed there. This is a third sync point on top of the two in the versioning invariant, but only for add/remove, not version bumps.
Validate manifest changes with claude plugin validate . from the repo root. The no-version warning is expected; treat anything else as a real error.
Scripts
Several skills carry real helper scripts — the repo is not script-free:
- Python —
agent-insights/scripts/agent_insights.py,declawed/scripts/scan.py,research-plan-implement/scripts/spec_metadata.sh(git metadata for frontmatter), and thehtml-diagram/scripts/pair (build_gallery.pyregenerates the style gallery,html_to_png.pyrenders a diagram to PNG via a headless browser).
Skills declare no dependency manifests (no root requirements.txt / package.json) — scripts rely on the interpreter's standard library.
Repository conventions
*-workspace/directories (e.g.agent-insights-workspace/,gap-analysis-workspace/) are gitignored skill-creator evaluation workspaces. They are not skills — don't document, ship, or edit them as such.*.zipfiles are packaged skills (gitignored) for drag-and-drop into the Claude desktop app.assets/holds shared repo assets (the README hero diagram + its HTML source).
Key patterns across skills
- Approval gates — multi-stage skills (
spec-coding,research-plan-implement) require human approval between phases; the agent must not run ahead. - Sub-agents —
research-plan-implementfans out six specialized agents (codebase-locator/-analyzer/-pattern-finder, thoughts-locator/-analyzer, web-search-researcher) for parallel investigation. - Frequent Intentional Compaction (FIC) —
research-plan-implementfront-loads understanding into markdown artifacts that carry context across sessions instead of bloating the conversation. - Output artifacts — skills produce structured markdown/HTML (specs, plans, gap registers, reports) as the durable handoff between phases and sessions.
- Local-only data — the Measure skill (
agent-insights) reads local session logs and emits local output; it sends nothing anywhere.
Editing Guidelines
SKILL.mdis the source of truth for behavior — edit it deliberately and bump the version in both places.- Keep
references/documents focused and structured; skills load them as context. - When editing a skill, mirror its existing conventions rather than the repo average — skills vary intentionally (some fan out sub-agents, some run scripts, some are pure prose).
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

