Total 30,607 skills, AI & Machine Learning has 4942 skills
Showing 12 of 4942 skills
Guide for using MassGen to develop and improve itself. This skill should be used when agents need to run MassGen experiments programmatically (using automation mode) OR analyze terminal UI/UX quality (using visual evaluation tools). These are mutually exclusive workflows for different improvement goals.
AI-powered browser automation toolset, including agent-browser (accessibility tree extraction), actionbook (50+ website automation recipes), and browser-use (Python automation library). Use cases: (1) Scrape web content that requires JS rendering (2) Fetch data from platforms like X/Twitter, GitHub, Reddit, etc. (3) Take web page screenshots (4) Automate browser operations (5) Retrieve the accessibility tree structure of web pages. Use this skill when you need to access dynamic web pages, bypass anti-scraping measures, or perform browser automation.
AI可读性审计工具，模拟AI爬虫视角评估网站对大语言模型的友好程度，分析结构化数据、语义HTML和Meta信息
Structured multi-perspective deliberation through adversarial dialogue
Universal environment variable loader for AI agent environments. Loads secrets and config from Claude.ai, Claude Code, OpenAI Codex, Jules, and standard .env files.
Master coordinator that delegates to specialist skills, synthesizes outputs, AND creates new skills on-the-fly when needed. Expert in problem decomposition, skill orchestration, quality assurance, and skill creation for capability gaps. Use for multi-skill coordination, complex task decomposition, workflow design. Activates on 'orchestrate', 'coordinate', 'multi-skill', 'complex task'. NOT for single-domain tasks or simple linear workflows.
Design effective MCP tools and Claude Code integrations using the consolidation principle. Fewer, better-designed tools dramatically improve agent success rates. Use when creating MCP servers, designing tool interfaces, optimizing tool sets, or when user mentions 'tool design', 'MCP', 'fewer tools', 'tool consolidation', 'tool architecture', or 'tool optimization'.
Simulate whole-brain emulation core processes.
Create a plan to modularize the AI include chain.
ANIMA as limit construction over condensed skill applications. Formalizes prediction markets as belief ANIMAs, structure dishes as condensation media, and impact as equivalence class change. Use for understanding agency at maximum entropy, compositional world modeling, or applying Scholze-Clausen condensed mathematics to AI.
Add new behavior options without changing core roles.
Install behavioral skills from trousse. Use FIRST when onboarding a new machine or after fresh Claude Code install. Creates symlinks for session lifecycle, utilities, and optionally offers tool repos (todoist-gtd, garde-manger). Triggers on 'help me set up', 'install skills', '/setup'. (user)