Design compelling AI agent personalities with structured SOUL.md templates — tone, rules, expertise, and response behavior
Création dynamique de sous-agents à la volée avec configuration, lifecycle management et resource allocation.
CRITICAL: Use for writing and editing agent-spec .spec/.spec.md files. Triggers on: write spec, create spec, edit spec, new spec, spec authoring, task contract, .spec file,…
CRITICAL: Use for estimating work effort from agent-spec Task Contracts. Triggers on: estimate, estimation, how long, work effort, round count, time estimate, scope, sizing, cost,…
CRITICAL: Use for agent-spec CLI tool workflow. Triggers on: agent-spec, contract, lifecycle, guard, verify, explain, stamp, checkpoint, plan, spec verification, task contract,…
Connect each agent’s frontmatter MCP servers safely and tear them down without leaking clients, while honoring plugin-only guards.
Auto-backs up core files (IDENTITY, SOUL, MEMORY, knowledge base) daily via cron, creates compressed .tgz archive, enables one-click restore in new environme...
Synchronisation d'état entre agents et sous-agents travaillant en parallèle sur un état partagé. Se déclenche avec "synchronisation agent", "état partagé", "shared state" — from…
Emit standardized progress pings during long-running work so the coordinator and the user know whether you are alive, stuck, or done — never go dark.
Conception de systèmes de délégation parent-agent → sous-agents avec dispatch intelligent, suivi des tâches et agrégation des résultats.
Construction d'agents superviseurs qui contrôlent, monitent et corrigent des sous-agents en temps réel.
(Industry standard: Parallel Agent) Primary Use Case: Work that can be partitioned into independent sub-tasks running concurrently across multiple agents.
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents,…
Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communication, and emergent collective behavior.
Jeffrey Emanuel's multi-agent implementation workflow using NTM, Agent Mail, Beads, and BV. The execution phase that follows planning and bead creation.
Multi-agent SWE team built on the Workshop model. Full-stack vertical workers, meeting room with @mention notification, private pipes, shared task board.
Enable and configure Agent Synthesizer for OpenClaw to improve autonomy and execution throughput. Use when a user asks to install, set up, troubleshoot, or optimize Agent…
Generates deployable system prompts for AI agents. Use when building, reviewing, revising, or templating system prompts that need clear roles, task boundaries, tool policies,…
Create tailored resume from job + source resume. Orchestrates the rewriting of bullet points to emphasize relevant experience without fabrication.
Décomposition automatique de tâches complexes en sous-tâches pour distribution aux sous-agents. Se déclenche avec "décomposer tâche", "task decomposition", "découper en s — from…
Design and operate task delegation systems for multi-agent fleets. Covers workload distribution, load balancing, queue management, priority scheduling, and dynamic agent scaling…
Expert task distributor specializing in intelligent work allocation, load balancing, and queue management.
Map tasks to specialist agents. Use when choosing which agent for a job, comparing agent capabilities, or routing to React/Next.js/Playwright/docs/code-quality experts.
Shape ambiguous or frontier-agent work into a bounded agent task with outcome, scope, context, tools, autonomy level, and verification evidence.
에이전트 팀 구성 및 조율 스킬. 여러 Claude Code 인스턴스를 팀으로 구성하여 병렬 작업을 수행한다. 공유 태스크 목록, 에이전트 간 메시징, 파일 소유권 분리, 계획 승인 워크플로우를 지원한다.
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized…
Codex CLI로 병렬 구현할 때 사용. multi_agent 기능으로 default/explorer/worker를 조합해 실행. zephermine 섹션 모드와 자유 모드 지원. /agent-team, /poseidon, /agent-team-codex로 실행.
Use when executing a team-format implementation plan (produced by writing-plans-for-teams) — orchestrates a team of persistent specialist agents working in parallel with two-stage…
Orchestrate full-stack development with Agent Teams for parallel implementation. Use when the user says "build with a team", "develop in parallel", "spin up an Agent Team", or…
Framework for self-sustaining AI agent teams with self-service work queues, role ownership, continuous discovery, and proactive operation via heartbeat loops.
Service-level skill for agent-team operational commands. Use for run hygiene, message inspection, event history, schema export, audits, and tooling. Load agent-team-shared first.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows.
Claude Code のエージェントチーム構成を設計するスキルです。 品質向上（別セッションでの再鑑・多角的レビュー）を主目的としたチーム構成を対話形式で提案します。 次のような場面で積極的に使ってください： - エージェントチームやマルチエージェントの話題が出たとき - 実装・設計の品質を別の視点でチェックしたいとき -…
Shared runtime procedure for the agent-team CLI. Use for daemonless state, global flags, JSON input/output, state directory rules, error handling, and shell usage conventions.
Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement
Ender's Game approach to commanding Claude Code Agent Teams. Strategic multi-agent orchestration with Karpathy Agentic Engineering principles — plan, act, observe, iterate.
Designs and coordinates Claude Code Agent Teams — multi-agent collaboration where teammate sessions work in parallel with direct communication, task claiming via file locks, and…
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate.
Define tools for the support agent. Use when adding new capabilities like refund processing, license transfer, knowledge lookup, or any agent action.
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more…
Design et implémentation de systèmes de tool calling pour agents IA. Function calling, API wrapping, schema design.
Use this agent when you need complete, production-ready scaffolding for new components or systems. Invoke proactively when starting net-new features that require architectural…
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation.
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation.
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation.
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation.
Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation.
Run 150+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation.
Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation.
Use when designing or reviewing Agentforce topic structure, including topic boundaries, instruction quality, handoff rules, out-of-scope behavior, and topic-selector strategy.
Use when the user asks to "map a session", "show me the tree", "agent-tree", "/agent-tree", "resume from a node", "fork from this session", or wants to navigate / restart from a…
Expert trend analyst specializing in identifying emerging patterns, forecasting future developments, and strategic foresight.
Use this agent to capture and categorize incoming issues, bugs, and feature requests during rapid development.
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in.
Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in.
\"Batteries-included agent component for React/Next.js from ui.inference.sh. One component with runtime, tools, streaming, approvals, and widgets built in.
Build or modify Fleet Pi's React Agent Elements UI, including InputBar controls, tool cards, question prompts, resource drawer, model picker, mode selector, and streaming state.
Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect
Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer
Validate agent YAML frontmatter and configuration. Use before committing agent changes or in CI.