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Found 9,884 Skills
Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.
Manus-style context engineering for Agent Teams. Coordinate multiple Claude Code instances with shared planning files. Use when complex tasks need parallel work (code review, debugging, feature development). Requires CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1.
Automated AI content pipeline for research, scriptwriting, and video generation using Claude/OpenAI and Remotion
Guide a first-time user through Pipefy AI toolkit setup (hosted MCP, local install.sh, or Claude Code plugin). Use when the user asks to install Pipefy MCP, connect Claude/Cursor to Pipefy, run /pipefy:install, or set up mcp.pipefy.com. Do not use for day-to-day Pipefy workflows after MCP is already working.
Stop hook that blocks Claude from finishing until quality checks pass. Detects rationalization patterns (surface text heuristics), stale learning logs (filesystem mtime), and low disk space. Complements self-audit by mechanically enforcing learning capture habits.
Bounded, evidence-driven Loop Engineering for Codex and Claude Code. Use to design, run, resume, or audit a coding loop that requires repeated implementation and verification, multi-agent routing, checkpoint recovery, measurable improvement, deterministic budgets, or explicit stop conditions.
Consolidate Claude Code memory across git worktrees so all branches of the same repo share a single memory directory. Use when memory is isolated per worktree, when switching branches loses context, or when setting up a new machine with worktree-based workflows.
Add Anthropic Claude models (Opus, Sonnet, Haiku) to Microsoft Teams.ai applications using @youdotcom-oss/teams-anthropic. Optionally integrate You.com MCP server for web search and content extraction. - MANDATORY TRIGGERS: teams-anthropic, @youdotcom-oss/teams-anthropic, Microsoft Teams.ai, Teams AI, Anthropic Claude, Teams MCP, Teams bot - Use when: building Microsoft Teams bots with Claude, integrating Anthropic with Teams.ai, adding MCP tools to Teams applications
Autonomous Goal-directed Iteration. Apply Karpathy's autoresearch principles to ANY task. Loops autonomously — modify, verify, keep/discard, repeat. Supports optional loop count via Claude Code's /loop command.
Convert structured UX specs and product context into a sequenced prompts.md file for Claude Code. Use when a user has completed upstream design thinking (problem framing, PRD, UX spec) and needs to translate that into step-by-step prompts that coding agents can execute incrementally. This skill bridges design artifacts to code generation.
Socratic book-learning tutor for any book or course. Teaches chapter-by-chapter using guided questioning, ~200-word explanations, and comprehension checks. Tracks progress and writes durable concept notes to a vault. Reads book config from project CLAUDE.md. Use when the user says "chapter N", "let's study", "teach me X", or when a project CLAUDE.md declares a learning context.
Operate the Tons of Skills marketplace via the ccpi CLI and Claude plugin marketplace commands. Use when you need to search, install, list, and update community plugin packs/skills for Claude Code, while keeping installs reversible and scoped.