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Found 2,099 Skills
Parallel autopilot with file ownership partitioning
Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
Guides creation of effective Agent Skills with proper structure and validation. Use when users want to create a new skill, update an existing skill, or need guidance on skill design patterns, SKILL.md format, or verify.py implementation. NOT when just using existing skills (use those skills directly).
Use when running tests to validate implementations, collecting test evidence, or debugging failures. Load in TEST state. Covers unit tests (pytest/jest), API tests (curl), browser tests (Claude-in-Chrome), database verification. All results are code-verified, not LLM-judged.
Start a new learning session on a topic. Use when user wants to learn something new, begin studying, get taught a topic, or start a teaching conversation. Triggers on "teach me", "let's learn", "start session", "study [topic]", "explain [topic]".
Save important project knowledge to memory. Use when user wants to preserve architectural decisions, significant bug fixes, design patterns, or important implementation details for team reference.
Use when auditing, trimming, or restructuring AI skill files to reduce context-window consumption. Trigger whenever a SKILL.md exceeds 120 lines, skills share duplicated content, AGENTS.md has large inline blocks, or the user asks to optimize, slim down, or reduce token usage of their skills.
Interactive agent picker for composing and dispatching parallel teams
Full-pipeline AI skill for WeChat Official Account articles — hotspot fetching, topic selection, writing, SEO, image generation, formatting, and draft box publishing.
Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
Bootstrap lean multi-agent orchestration with beads task tracking. Use for projects needing agent delegation without heavy MCP overhead.