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Found 919 Skills
EXPERIMENTAL: Three-layer parallel meta-cognition analysis. Triggers on: /meta-parallel, 三层分析, parallel analysis, 并行元认知
Universal Learner - Automatically extract reusable elements from Prompts in any field, continuously learn and accumulate knowledge
AI-powered image editing with style transfer and object removal
Enables Claude to access, organize, and collaborate on Microsoft SharePoint sites and document libraries via Playwright MCP
Store and retrieve conversation memories across sessions. Use when asked to 'remember this', 'save conversation', 'add to memory', 'what did we discuss about...', 'query memories', or 'import chat history'. Also use proactively to preserve important dialogue context and decisions.
Score assistant responses for guidance & actionability on a strict 1-5 scale, then return strict JSON only with dimension, score, rationale, and improvement suggestions. Use when the user asks to evaluate how actionable, helpful, or step-by-step a response is.
Create effective AI skills. This skill should be used when user wants to create a new skill (or update an existing skill) that extends an AI with specialized capabilities, knowledge, workflows, or tool integrations.
GitHub Research Assistant. Use this skill when the user wants to analyze a GitHub repository. Analysis dimensions -- 1) Basic information; 2) Purpose, what it can be used for; 3) Tech stack, including frameworks, languages, algorithms, etc.; 4) Usage and examples; 5) Technical architecture and module analysis
Langgeladi Cognition Check. Two modes: Trace (an idea → trace to the bottom layer → build a system) and Topple (a wrong cognition → flip → see the truth). Trigger methods: /lang-think, "I have an idea", "I think XX is because of YY", "help me figure this out", "is this view correct" Langgeladi cognition check. Two modes: Trace (idea → first principles → system) and Topple (wrong belief → flip → truth). Trigger: /lang-think, "I have an idea", "help me think this through", "is this right"
· Batch-improve skill collections with evaluation loops, lint checks, behavioral tests, peer review. Triggers: 'skill refiner', 'improve skills', 'quality sweep', 'batch improve', 'skill loop'. Not for one skill.
Authors and updates customization overrides for installed BMad skills. Use when the user says 'customize bmad', 'override a skill', 'change agent behavior', or 'customize a workflow'.
Domain expertise for Ai2 Asta MCP tools (Semantic Scholar corpus). Intent-to-tool routing, safe defaults, workflow patterns, and pitfall warnings for academic paper search, citation traversal, and author discovery.