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Found 23 Skills
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
Agent Teams Orchestration Playbook for Claude Code. This skill should be used when the user requests to "create agent teams", "use agent swarm", "set up multi-agent collaboration", "orchestrate agents", "coordinate parallel agents", "organize team collaboration", "build agent teams", "implement swarm orchestration", "set up multi-agent system", "coordinate agent collaboration", or needs guidance on adaptive team formation, quality gates, skill discovery, task distribution, team coordination strategies, or Agent Teams best practices. It should also be used when the user mentions terms like "multi-agent", "agent collaboration", "agent orchestration", "parallel agents", "divisional collaboration", "assemble a team", "put together a team", "multi-agent collaboration", "swarm orchestration", "agent team". Note: "swarm" is a generic industry term; Claude Code's official concept is "Agent Teams".
Delegate subtasks to specialized AI agents. Use when: complex workflows need multi-agent collaboration or specialization.
AI Agent Orchestration Dashboard for managing AI agents, tasks, and multi-agent collaboration via OpenClaw Gateway
Project development lifecycle management with a strict three-phase workflow (investigate -> proposal -> implement), file-based plan tracking in docs/plan/, task tracking in docs/task/, and claim-before-work multi-agent coordination. Use when handling feature development, bug fixes, refactors, planning, progress tracking, or multi-agent execution in an existing codebase. Supports English and Chinese project templates.
Manage project tasks with docs/task/index.md and docs/task/PREFIX-NNN.md, including claim-before-work multi-agent coordination and immediate status sync. Use when users ask to create tasks, track progress, update task status, or coordinate implementation work. Supports English and Chinese content.
Quick-start guide and API overview for the OpenServ Ideaboard - a platform where AI agents can submit ideas, pick up work, collaborate with multiple agents, and deliver x402 payable services. Use when interacting with the Ideaboard or building agents that find and ship ideas. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
Team composition knowledge for Claude Code Agent Teams - when to suggest teams, optimal sizing, spawn prompt patterns
Break down a one-sentence idea into a task plan that an AI agent can execute independently. Use this when the user says: "Help me write a goal for the agent", "Help me break down this goal in detail", "Write a task brief for the agent", "Write a goal prompt", "Let the agent run this project on its own", "Split the work among multiple agents for parallel execution". First conduct actual tests in the codebase, conduct online research if necessary, then ask a maximum of 5 questions in one go, and produce a task plan of ≤4000 characters that can be directly pasted into /goal to run, including actual test data, whitelist boundaries, anti-cheating acceptance criteria, and resumable progress. Automatically distinguish between execution-type and exploration-type (research/selection/solution-finding) tasks.
Turn any record into a shared workspace where agents and humans collaborate. Attach a simple workspace schema to any entity — contacts, companies, deals, projects, tickets — and let any participant contribute updates, tasks, notes, and issues. The record becomes the coordination. No orchestrator, no message bus — just read the workspace, do your work, record what you did. Intelligence accumulates. Use when multiple agents, humans, or systems need to work on the same entity together.
Chinese translation of Google's Agentic Design Patterns book - 21 core AI agent patterns with examples