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Found 416 Skills
Multi-agent orchestration layer for OpenAI Codex CLI. Provides 30 specialized agents, 40+ workflow skills, team orchestration in tmux, persistent MCP servers, and staged pipeline execution.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
This skill should be used when the user asks to "implement a plan", "execute implementation", "build from plan", "implement feature", or needs to orchestrate execution of an implementation plan with specialized engineering agents.
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
A comprehensive development team tailored for beginners, consisting of product managers, architects, designers, developers, and testers, guiding you through the entire process from concept to launch.
Agent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinator
Manages parent/child agent relationships with task delegation and result aggregation. Supports sequential chains, parallel fans, conditional routing, retry logic, timeout handling, and YAML-based visual workflow definition.
Delegate subtasks to specialized AI agents. Use when: complex workflows need multi-agent collaboration or specialization.
3-에이전트(Architect→Builder→Reviewer) 루프로 단일 기능을 설계·구현·검증하는 팀 스킬. "3a로 만들어줘", "3에이전트", "설계-구현-검토", "team-3a" 키워드로 트리거. peach-team보다 가벼운 단일 기능·소규모 수정에 적합.
Heavy-ceremony orchestration for big work — research, planning, adversarial review, phased implementation, audit, delivery. Use when the user says "epic", "long task", "build this end to end", or wants a feature that runs all night.
AI Agent Orchestration Dashboard for managing AI agents, tasks, and multi-agent collaboration via OpenClaw Gateway
Orchestrates implementation of a plan file by delegating work to subagents in parallel. Verifies git branch state, tracks progress, and ensures high-quality implementation. Invoke with a plan file path and optional model override: /implement plans/my-plan.md [--model sonnet]