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A curated collection of Claude Code / agent skills for real-world engineering and creative workflows.
This repository is a skills portfolio, not a single deployable application. Most top-level folders are standalone skills with:
SKILL.md(required entrypoint)- optional
references/,scripts/,examples/,assets/
- Pick a skill from the Skill Index.
- Open that skill's
SKILL.mdand read the trigger + workflow instructions. - Run any skill-specific scripts/commands in that skill context.
- Agent Development
- Skill Development
- skill-creator
- dispatching-parallel-agents
- find-skills
- skill-lookup
- mcp-builder
- architecture-patterns
- backend-patterns
- api-design-principles
- auth-implementation-patterns
- microservices-patterns
- postgresql-table-design
- mermaid-visualizer
- excalidraw-diagram
- algorithmic-art
- canvas-design
- theme-factory
- brand-guidelines
- slack-gif-creator
- Add Admin API Endpoint (Ghost Admin API)
.
├── <skill-name>/
│ ├── SKILL.md
│ ├── references/ (optional)
│ ├── scripts/ (optional)
│ ├── examples/ (optional)
│ └── assets/ (optional)
├── CLAUDE.md
├── README.md
├── README.zh-CN.md
└── LICENSE
There is no single root build/lint/test pipeline. Run commands in each skill context.
# Validate an agent file
bash "Agent Development/scripts/validate-agent.sh" <path-to-agent.md>
# Initialize and bundle a web artifact project
bash scripts/init-artifact.sh <project-name>
bash scripts/bundle-artifact.sh
# Run Playwright automation with local server lifecycle management
python scripts/with_server.py --server "npm run dev" --port 5173 -- python your_automation.py
# Generate README for a Spring Boot module
python readme-generate/scripts/readme_generator.py <spring-module-path>
# Skill evaluation and packaging loop
python -m scripts.aggregate_benchmark <workspace>/iteration-N --skill-name <name>
python -m scripts.run_loop --eval-set <eval.json> --skill-path <skill-path> --model <model-id> --max-iterations 5 --verbose
python -m scripts.package_skill <path/to/skill-folder>Contributions are welcome.
- Fork this repository and create a feature branch.
- Keep changes scoped to the target skill directory.
- Update related docs/examples when workflow behavior changes.
- Run skill-specific validation scripts where applicable.
- Open a PR with clear summary and test/verification notes.
- Add lightweight metadata cards for each skill (purpose, inputs, outputs, stack).
- Add discoverability tags and cross-links between related skills.
- Add automated link checks for
SKILL.mdand referenced docs. - Add contribution templates for new skill submissions.
- Claude Code and the broader agent engineering ecosystem.
- Contributors and maintainers sharing reusable workflows.
MIT