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A comprehensive guide and framework for designing, building, and packaging high-quality Agent Skills with modular resources.
This skill provides a structured methodology for creating 'Agent Skills'—modular packages that extend an AI agent's capabilities with specialized domain knowledge, procedural workflows, and tool integrations. It transforms a general-purpose model into a specialized expert by providing a blueprint for knowledge organization.
Use this skill when you need to author a new skill from scratch, update an existing skill to improve its effectiveness, or package a skill for distribution. It is specifically triggered when a user wants to extend the agent's capabilities with specialized knowledge or toolsets.
init_skill.py) and packaging (package_skill.py) skills.Primarily designed for Claude-based agents (including Claude Code and Claude Desktop) that support the SKILL.md specification and bundled resource loading.
This skill has not been reviewed by our automated audit pipeline yet.
FastAPI Project Templates
Creates production-ready FastAPI project scaffolds with async patterns, DI, middleware, and testing best practices for high-performance APIs.
GraphQL Inspector — Validate
Validate GraphQL operations against a schema with configurable depth, complexity, alias and directive limits to catch errors before runtime.
JJ Hunk
Programmatic hunk selection for Jujutsu (jj): list, split, commit, or squash specific hunks to enable partial commits and fine-grained history editing without a
Codex Collab
Bridge Claude and Codex to run tasks, perform code reviews, and run background jobs for research or implementation workflows.
Cursor Hello World Tutorial
A concise 10-minute hands-on tutorial demonstrating Cursor's Tab completion, Chat, Inline Edit, and Composer features for getting started quickly.
Code Spec Backfill
Identify missing function-level contracts and backfill docstrings and type annotations; report ambiguous gaps with misuse scenarios. Incremental, state-driven w
LAP CLI
CLI for compiling, searching, and managing API specifications into a compact agent-native format and generating/installing skills from specs.
Pytest Plugins Guide
Guidance on the pytest plugin ecosystem: plugin development, pytest-cov, pytest-mock, configuration, CI integration, and advanced patterns.