Keeps CLAUDE.md files in sync with the actual codebase by detecting meaningful changes and proposing targeted updates.
A plugin library and development framework for Claude Code. This repo serves two purposes:
/plugin install.# Add the marketplace
/plugin marketplace add ats-kinoshita-iso/agent-workshop
# Browse and install plugins
/plugin install planning@agent-workshop
Browse cookbook/ and copy what you need into your project:
cookbook/claude-md/ — CLAUDE.md templates by project typecookbook/hooks/ — Reusable hook recipes for .claude/settings.jsoncookbook/mcp/ — MCP server configurations for common integrations.claude-plugin/ # Marketplace definition (marketplace.json)
plugins/ # Stable, packaged Claude Code plugins
cookbook/ # Golden baseline configs (copy into your projects)
claude-md/ # CLAUDE.md templates
hooks/ # Hook recipes
mcp/ # MCP server configs
tools/ # Development & validation tooling
tests/ # Plugin validation gates
1. Develop in .claude/ → Iterate locally with Claude Code
2. Validate with test suite → uv run pytest
3. Package as plugin → Create plugin.json + SKILL.md in plugins/
4. Auto-register in marketplace → marketplace_gen.py updates marketplace.json
5. Users install from here → /plugin marketplace add ats-kinoshita-iso/agent-workshop
| Plugin | Description | Version |
|---|---|---|
| code-quality-gate | Unified quality orchestrator (lint, format, typecheck, test) | 1.0.0 |
| context-sync | Keeps CLAUDE.md files in sync with the codebase | 1.0.0 |
| plan-manager | Plan lifecycle management with gate tracking and archival | 1.0.0 |
| planning | Phased implementation plans with gates and tests | 2.0.0 |
| test-quality | Test generation, auditing, and knowledge extraction | 1.0.0 |
| workspace-clean | Workspace hygiene checks and cleanup | 1.0.0 |
| Plugin | Skills | License |
|---|---|---|
| anthropic-document-skills | docx, pdf, pptx, xlsx | Source-available |
| anthropic-creative-skills | algorithmic-art, brand-guidelines, canvas-design, frontend-design, slack-gif-creator, theme-factory | Apache 2.0 |
| anthropic-dev-skills | claude-api, mcp-builder, skill-creator, web-artifacts-builder, webapp-testing | Apache 2.0 |
| anthropic-enterprise-skills | doc-coauthoring, internal-comms | Apache 2.0 |
uvbunuv syncuv run pytestuv run ruff check .uv run ruff format .uv run mypy .bun installbun testbunx biome check --write ..claude/ (skills, hooks, agents, etc.)plugins/<your-plugin>/.claude-plugin/plugin.json with name, description, version, keywordsuv run pytest to validate structureuv run python tools/marketplace_gen.py to update the marketplace catalogOwn this plugin?
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npx claudepluginhub ats-kinoshita-iso/agent-workshop --plugin context-syncEvaluation framework skills for designing scoring rubrics, running structured evaluations on LLM outputs, and comparing candidate outputs to recommend a winner.
trine-eval: Planner-Generator-Evaluator harness for eval-driven development across web/RAG/CLI/API projects, eval-harness methodology audits (meta layer), and harness-build agent-runtime conformance (runtime layer)
Analyzes and rewrites prompts for Claude Code, applying structured prompt engineering patterns to produce clearer, more effective instructions.
Anthropic's official development skills for Claude API integration, MCP server building, skill creation, web artifact building, and browser-based testing.
Skills for designing and evaluating multi-agent systems: orchestrator/worker decomposition, output quality review, and self-improving evaluator/optimizer loops.
Access official Microsoft documentation, API references, and code samples for Azure, .NET, Windows, and more.
Make your AI agent code with your project's architecture, rules, and decisions.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.