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Found 9,575 Skills
AI co-worker agent with its own computer, persistent memory, self-evolution, MCP server, and Slack/email identity built on Claude Agent SDK
This skill should be used when Claude Code needs to perform basic arithmetic calculations. It provides a Python script that safely evaluates mathematical expressions including addition, subtraction, multiplication, division, exponentiation, and square roots.
Token-efficient persistent memory system for Claude Code that extends your session limits by 3-5x. Layered architecture with progressive loading, compact encoding, branch-aware context, smart compression, session diffing, conflict detection, session continuation protocol, and recovery mode. Activates at session start (if MEMORY.md exists), on "remember this", "pick up where we left off", "what were we doing", "wrap up", "save progress", "don't forget", "switch context", "hand off", "memory health", "save state", "continue where I left off", "context budget", "how much context left", or any session start on a project with existing memory files. This skill solves two problems at once: Claude forgetting everything between sessions, AND sessions hitting context limits too fast. It replaces thousands of wasted re-explanation tokens with a compact, structured memory load that gives Claude full project context in under 2,000 tokens.
Configure Cedar policy enforcement and Ed25519 signed receipts for Claude Code tool calls. Use when setting up projects that need cryptographic audit trails, policy-gated tool execution, or compliance-ready evidence of agent actions.
Compress natural language memory files (CLAUDE.md, todos, settings) into "primitive human" format to reduce input tokens. Fully retain technical content, code, URLs, and structure. The compressed version overwrites the original file, and the human-readable version is saved as FILE.original.md. Trigger with `/genshijin-compress <filepath>` or requests like "memory file compression".
Scaffold Claude Code hooks into a real project after auditing the project structure in detail. Use when a user wants Claude Code hook setup, hook refactors, full hook-event scaffolding, or managed updates to existing .claude hooks. This skill verifies the live official Claude Code hook docs first, audits the target repo, then generates a bash-first hook scaffold with a hooks README, repeatable merge behavior, and coverage for every current hook event. Trigger on: Claude Code hooks, scaffold hooks, hook events, update hooks, hook architecture, .claude/settings.json. Do NOT use for generic Git hooks, Husky-only setup, or non-Claude agents.
Creates implementation tasks as Claude Code custom slash commands with dependency ordering and atomic scope. Use when breaking down features into executable task commands, planning implementation order, defining task dependencies, or when user mentions task breakdown, implementation plan, or work decomposition for spec-driven development.
Install and use the 毛选.skill cognitive framework for Claude Code — applies Mao Zedong's strategic mental models (contradiction analysis, protracted war, rural encirclement, united front) to help analyze problems, devise strategies, and cut through complexity.
Produce a long-form, shareable markdown writeup on whether Claude has regressed on this user's work. A bundled Python script scans `~/.claude/projects/`, computes every metric, and renders a markdown skeleton with tables already filled — in ~2.5s. Claude fills a dozen short narrative placeholders and saves. Writes `./cc-canary-<YYYY-MM-DD>.md` suitable for pasting into a GitHub issue or gist.
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
Use when adding or configuring an MCP (Model Context Protocol) server in a Claude Code plugin. Triggers on "add mcp", "setup mcp", "configure mcp server", "add mcp.json to plugin", or any request to wire up an external MCP tool server to a plugin in this repository.
Use when the user wants Claude Code to generate images from prompts, use /gi or /gi-setup, configure an OpenAI Images API-compatible endpoint, create placeholder images, delegate generation to a background subagent named painter, pass model parameters, choose output paths, or maintain an image index. If generation is requested before setup, guide the user through /gi-setup instead of failing.