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Found 1,146 Skills
Creates or audits a CLAUDE.md file — the ambient project-context document Claude Code loads at session start. Use when user says 'create a CLAUDE.md', 'audit our CLAUDE.md', 'is our CLAUDE.md any good', 'our CLAUDE.md is out of date', 'make CLAUDE.md load-bearing', or 'write scope-level CLAUDE.md'. Do NOT use for skills (use create-or-audit-skill), agents (use create-or-audit-agent), or user-facing documentation (use write-doc).
Guide users through ECC's current agents, skills, commands, hooks, rules, install profiles, and project onboarding by reading the live repository surface before answering.
Use the belt CLI — run 250+ AI apps, manage knowledge, search skills, connect MCP servers
Continuous Agentation annotation handling. Use when the user says "watch mode", asks you to watch for Agentation annotations, process feedback as it arrives, or keep fixing annotation-driven changes until told to stop or a timeout is reached.
/cs:onboard — Founder interview that populates ~/.claude/company-context.md. The first command to run when starting with c-level-agents.
Use when the user asks to install, configure, verify, troubleshoot, or understand OpenPets; install or select a pet; connect Claude Code, OpenCode, Cursor, Codex, or MCP clients; configure a project to use a specific pet; or debug openpets_status, openpets_react, or openpets_say.
Meta-skill: helps create an AGENTS.md for a new project by guiding the user through selecting the right profile from the agentic library and running the compose command. Also helps create a custom AGENTS.md from scratch when no profile fits. Invoked when the user asks to set up agent instructions, create AGENTS.md, or configure agents for a project.
Discover and implement real-world OpenClaw use cases from a curated community collection covering productivity, automation, content creation, and infrastructure.
MCP server for Xiaohongshu (Little Red Book) - search, publish posts, manage interactions, and automate content operations
Master context engineering principles for building production-grade AI agent systems with effective context management, multi-agent architectures, and memory systems.
Download and analyze social videos using frames + transcript for AI agent understanding at 50× lower cost than multimodal APIs
Load project context from the Claude Brain Logseq graph into the current session. Triggers: "load brain", "load <project>", "resume <project>", "continue work on <project>", "what do we know about <topic>". Don't fire for write operations (use brain-save), generic questions about Logseq itself, or "open <file>" / "switch to <branch>" requests that mean opening files or switching git branches rather than loading project memory.