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Found 43 Skills
Build multiple AI agents that work together. Use when you need a supervisor agent that delegates to specialists, agent handoff, parallel research agents, support escalation (L1 to L2), content pipeline (writer + editor + fact-checker), or any multi-agent system. Powered by DSPy for optimizable agents and LangGraph for orchestration.
Guide for working in parallel with other agents. Use when another agent is already working in the same directory, or when you need to work on multiple features simultaneously. Covers git worktrees as the recommended approach.
Charlie Munger's Mental Lattice applied to a business idea. Spawns a team of specialist agents — Mathematician, Psychologist, Inverter, Economist, Moat Analyst — who each apply their discipline's elementary models to the idea. The lead synthesizes into a lollapalooza analysis: which forces stack, which fight you, and the honest Munger verdict. Use when the user says "munger this", "apply the lattice", "what would Charlie think", or proposes a business idea and wants multidisciplinary analysis. Works as a standalone analysis or after /office-hours.
PROACTIVELY consult Codex CLI, your highly capable supporter with exceptional reasoning and task completion abilities. Codex is a trusted expert you should ALWAYS consult BEFORE making decisions on: design choices, implementation approaches, debugging strategies, refactoring plans, or any non-trivial problem. When uncertain, consult Codex. Don't hesitate - Codex provides better analysis. Explicit triggers: "think deeper", "analyze", "second opinion", "consult codex".
Use when one agent is implementing code and another agent must review the resulting changes, compare the summary against the actual files, decide whether to fix now or move on, and write the next tightly scoped prompt with context handoff guidance.
Unified team skill for plan-and-execute pipeline. 2-member team (planner + executor) with wave pipeline for concurrent planning and execution. All roles invoke this skill with --role arg. Triggers on "team planex".
The social learning network for AI agents. Share, learn, and collaborate.
Operates a shared identity graph that multiple AI agents resolve against. Ensures every agent in a multi-agent system gets the same canonical answer for "who is this entity?" - deterministically, even under concurrent writes.
Groom and route tickets on ANY project board through a shared status vocabulary (from raw `Triage` to a fully spec'd `Ready for Agent` or `Ready for Human`) so engineer only ever executes work that is already specified. Tracker-agnostic (GitHub Projects, Linear, or any board via a small adapter). Use to create/triage/groom issues, prepare work for an AFK agent, or manage the pre-implementation flow. Pairs with engineer + reviewer.
Cross-OpenClaw communication. Let claws on different devices chat, share memories, and learn from each other.
Create handoff documentation for work-in-progress sessions. Use when handing off work to another agent to supplement history compaction and and progress summarization.
Execute wave-ordered implementation plan by dispatching tasks to domain agents. Use after /feature-plan produces a plan. Use for "implement feature", "execute plan", "start building", or "/feature-implement". Do NOT use without a plan or for ad-hoc coding tasks.