Orchestration Skills for OpenClaw Agents

cargo-orchestration

@cargo-ai

Make Cargo actually run something, or show what it would run — execute one connector action, run a multi-step workflow, trigger a batch across a whole segment or model, message an AI agent, build or edit a node graph, draw a workflow, tool or play as a diagram, and query the runtime tables (runs, batches, spans, records) with SQL. Triggers: "run this on all my contacts", "execute the action", "kick off a batch", "build a workflow", "schedule a play", "make it run every morning", "ask the agent", "show me the workflow", "what does this tool do", "visualize this play", "draw the graph", "explain this workflow", "how many runs failed today", "what is the output schema for this action", "add a step that". Skip when: explaining why a run misbehaved — use cargo-diagnostics; downloading result files — use cargo-analytics; committing the workflow as code — use cargo-cdk.

ia-orchestrating-swarms

@iliaal

Coordinate multi-agent swarms for parallel and pipeline workflows. Use when coordinating multiple agents, running parallel reviews, building pipeline workflows, or implementing divide-and-conquer patterns with subagents.

Agent Team Orchestration

@arminnaimi

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.

vmware-pilot

@zw008

Use this skill whenever the user wants to design, execute, or manage complex multi-step VMware workflows with human approval and automatic rollback. Pilot is the orchestration brain — it breaks a goal into steps across companion VMware skills (aiops, monitor, nsx, nsx-security, aria, vks, storage, avi), adds approval gates before destructive operations, and rolls back automatically if anything fails. Always use vmware-pilot for: "clone and test before applying to production", "VMware incident response with checkpoints", "investigate alert root cause", "VMware rolling restart with health checks", "baseline capture and drift detection", "rolling maintenance with AVI drain", or any VMware workflow needing approval gates or rollback. 15 built-in templates + custom YAML + AI-designed workflows. Do NOT use for single-step work — use vmware-aiops for one VM action, vmware-monitor for read-only queries, vmware-avi for load balancer queries.

cargo-ai

@cargo-ai

Build and configure AI agents inside Cargo — create an agent, choose its model and temperature, write its prompt, attach knowledge for retrieval (RAG), connect MCP tool servers, manage memories, and deploy releases. Triggers: "create an agent", "make an agent that", "give the agent our docs", "attach this knowledge base", "attach this library to the agent", "add resources to the agent release", "connect an MCP server", "expose our tools as an MCP server", "use Cargo from Claude Desktop or ChatGPT", "change the agent model", "what does the agent remember", "deploy the agent", "the agent is answering wrong". Skip when: uploading the knowledge files themselves — use cargo-content; sending the agent a message or running it over records — use cargo-orchestration.

Nonblocking Agent Execution Enhanced

@orionshaowswmw

Enhanced Non-Blocking Agent Execution with AI-powered improvements. Prevents "agent stopped responding / stuck / no output" failures in sandboxed agent runtimes (Arena Agent Mode, OpenClaw, Codex) where a single long tool call blocks the turn and stdin is closed so interactive prompts hang forever. NEW in v2.0.0: - Full jobctl.sh implementation with all commands - Multi-model compatibility (OpenAI, Anthropic, Mistral, Groq, etc.) - Token usage optimization and monitoring - Hallucination reduction via verification - Self-improving through feedback loops - Comprehensive debugging and logging - Idempotent operations and graceful error handling - Watchdog timers for timeout protection - Callback URL support for async notifications - Durable state persistence across turns Provides the detach → bounded-poll → durable-state pattern plus a ready-to-use jobctl.sh runner with enhanced features for production use.

agent-swarm-kit

@vswarm-ai

Design and operate a bounded OpenClaw multi-agent team. Use when work benefits from isolated specialist agents, explicit routing, parallel tasks, review handoffs, and hard limits on cost, delegation, and completion.

Startup

@ivangdavila

Orchestrates startup work: routes tasks to specialized agents and applies stage-appropriate priorities. Use when advising founders on product-market fit, growth, hiring, fundraising, runway, or burn decisions.

hypertaks

@aabrur

Hypertaks helps an artificial intelligence (AI) agent frame work, coordinate specialist roles, preserve verified context, and prove completion. The Boss remains the final human authority.

Pullboard

@pullboard

Coordinate a long, complex build across a fleet of agents (or one long-running agent) on a shared board — so the plan survives context loss and reaches done....

Multi-Agent Governor

@tinadu-ai

Govern any task that uses or considers multiple agents, subagents, delegation, parallel work, or speed-first execution. Use whenever the user says "多派 Agent"...

FarmDash Trail Marshal

@parmasanandgarlic

Orchestrate guarded multi-skill DeFi workflows with named recipes, quality gates, session-scoped runs, status tracking, and no key custody.

Agentic Workflow Automation

@0x-professor

Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff arti...

ResearchVault

@lraivisto

Local-first research orchestration engine. Manages state, synthesis, and optional background services (MCP/Watchdog).

codex-orchestration

@shanelindsay

General-purpose orchestration for Codex. Uses update_plan plus background PTY terminals to run parallel codex exec workers.

Agent Team Workflows

@doanbactam

Universal multi-agent workflow orchestration using Claude Code Agent Teams. Use when user asks to run a team workflow, create an agent team, or coordinate parallel work across multiple teammates — for any domain (software, content, data, strategy, research, etc.).

Skills

@contrario

Execute AI workflow orchestration flows using the AetherLang Ω DSL. Run multi-step AI pipelines for recipes, business strategy, market analysis, molecular ga...

ClawOps

@okoddcat

The orchestration tool for OpenClaw, managing and coordinating all your skills seamlessly.

Aero

@arberx

AEO analyst orchestration — coordinates canonry sweeps and aeo-audit analysis with persistent memory and proactive regression response.

multi-agent-orchestrator

@brandon-zhanghaodong

This skill enables one-click generation of multiple AI agents based on a user prompt, outputs their organizational structure, and visualizes their collaborat...

using-overpowered

@raguets

Part of the Overpowered skill suite. Route knowledge-work and enterprise-automation tasks through the smallest relevant combination of Overpowered skills, and invoke gear-up only when a material execution capability is genuinely missing. Use when multiple suite skills may apply or when starting a non-trivial task involving organizational knowledge, conflicting evidence, evolving artifacts, business rules, process automation, risky side effects, verifiable completion, or an uncovered capability gap.

agent-org-chart

@delasy

Design a multi-agent team that actually routes work. Pick roles by what they refuse, wire reporting lines, bound hand-offs, and place human gates, before writing any orchestration code.

autonomous-loops

@djc00p

Autonomous agent loop patterns: sequential pipelines, persistent REPL sessions, parallel spec-driven generation, PR automation, cleanup passes, and RFC-driven DAG orchestration. Choose pattern by complexity: simple (sequential) → medium (PR loop, infinite agents) → advanced (DAG with merge queue). T

cron-orchestration

@managernet

Cron 调度与互斥规范：主协调器/团队广播/侧线采集职责分离，每轮单任务，5分钟间隔，锁文件防并发。

OpenClaw Agent Orchestrator

@dtsola

OpenClaw multi-agent daily collaboration orchestrator: split a task into subtasks, dispatch to resident agents via sessions_send, track progress via sessions_list/sessions_history, aggregate results with source attribution, and retry failures (default max 3). Reads openclaw.json for agents.list and agentToAgent.allow (bidirectional whitelist); three-tier trigger (explicit dispatch / suggest+ask for fuzzy big tasks / silent otherwise). Use when user asks to orchestrate/coordinate multiple agents, dispatch parallel work, delegate to a named agent, or aggregate results from several agents (orchestrate/parallel/delegate/让 XX 做/编排/并行/ 分给/汇总). 中文：OpenClaw 多 Agent 日常协作编排器——任务拆解、跨 agent 分发（强制 sessions_send）、进度追踪、结果聚合、失败重试（默认最多 3 次）。 三档触发：用户点名或含编排动词直接执行；模糊大任务建议并行并询问用户； 其余情况保持沉默。直接读 openclaw.json（agents.list + agentToAgent.allow 双向白名单）获取 agent 名单与授权。适用于多 agent 家庭协作、并行调研、批量巡检、发布前多视角审查、团队日报汇总等场景。

vault-data-governance

@managernet

Vault 数据治理规范：对所有智能体/团队的采集、审核、研究成果执行每日审计、清理、去重、归档。

OpenClaw Cross-Tool Commander

@dtsola

Drive OpenClaw with Claude Code, Codex, OpenCode, Trae, DSH etc. — command the gateway, its agents and channels, from any Agent Skills tool. Use when you want other AI tools to make OpenClaw work. 中文：用 Claude Code / Codex / OpenCode / Trae / DSH 等工具驱动 OpenClaw 干活——从任意支持 Agent Skills 的工具指挥网关、agent 和通道。 当你想用其他 AI 工具驱动 OpenClaw 时使用。