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Found 13,270 Skills
Use when the user wants to reuse one model result, read text/data/meta without re-requesting, or stream partial updates, including `get_response()`, async getters, `delta`, `instant`, and `specific`.
Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm
This is used when users want to learn about industry hotspots, check topic challenge rankings, view recent hot search events or public domain popularity trends. It supports two dimensions: topic challenges and hot list events. Manual trigger: /trending
JingSwap STX↔sBTC cycle monitor and participation agent. Reads live cycle state and prices directly from the Stacks contract via Hiro API and Pyth oracle — no API key required. Outputs PARTICIPATE / MONITOR / WAIT_FOR_DEPOSIT_PHASE / NO_SBTC_AVAILABLE with oracle-vs-DEX discount analysis.
Export agent data into a Starchild migration bundle. For use by ANY agent (OpenClaw, Claude Code, Cursor, etc.) to migrate into Starchild.
Review Go implementations against spec acceptance tests. References go-conventions and agent-conduct.
Expert skill for using wanman, the open-source local agent matrix runtime that coordinates multiple Claude Code or Codex agents on your machine.
Use this skill when the user types "/notes" or "@notes" with phrases like "save this", "document this", "file this under <project/client>", "extract decisions", "extract action items", or "update notes from this discussion". The skill spawns the notes-librarian subagent to extract durable knowledge and file it into the right Docmost page using the existing workspace structure. Falls back to a configured inbox page when confidence is low.
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "multi-agent", "agent swarm", "coordinator agent", "worker agent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", "agents that communicate", "parallel agents", or needs guidance on agent structure, system prompts, triggering conditions, subagent orchestration, or multi-agent swarm development for Claude Code.
Scaffold or audit the memex (vault + AGENTS.md + spec templates + bundled skills) in any repo — an externalized, navigable project memory for agents (Claude Code, Codex, Cursor, OpenCode, etc.). Agent-agnostic. Idempotent — safe to run repeatedly. Use when the user wants to set up, verify, or fix the memex in a project.
Internal protocol for evo optimization subagents. Not user-invocable -- read by subagents spawned from /optimize.
Framework-agnostic persistent memory and self-improvement loops for AI agents. Scaffolds shared state, task queues, and learnings files that can be read/written by Claude, Gemini, and Antigravity. Use this to initialize an Agentic OS layer in any workspace and instruct agents on how to use it.