Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Enable advanced subagent orchestration with context sharing, state management, parallel tasks, and completion notifications using OpenClaw Swarm features.
Enable advanced subagent orchestration with context sharing, state management, parallel tasks, and completion notifications using OpenClaw Swarm features.
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.
Use OpenClaw Swarm features for advanced subagent orchestration.
This skill provides access to OpenClaw Swarm - a fork of OpenClaw with enhanced subagent orchestration: Fork: https://github.com/Heldinhow/openclaw-swarm Docs: SWARM.md
Use this skill when: Spawning subagents with context sharing Coordinating multiple subagents Sharing state between subagents Running parallel tasks
Share parent session context with subagents: { "sessions_spawn": { "label": "my-task", "task": "Do something", "contextSharing": "recent" } } Values: none - No context summary - Compressed summary recent - Last messages full - Complete history
Share data between subagents: // Write { "context_store": { "action": "set", "namespace": "project", "key": "data", "value": {...} } } // Read { "context_store": { "action": "get", "namespace": "project", "key": "data" } } Actions: get, set, delete, list, subscribe, broadcast
Notify when subagent completes: { "context_publish": { "action": "publish", "eventType": "task_complete", "target": "orchestrator", "data": { "result": "..." } } }
Run multiple subagents in parallel: { "parallel_spawn": { "tasks": [ { "label": "task1", "task": "Do this" }, { "label": "task2", "task": "Do that" } ], "wait": "all" } } Wait strategies: all - Wait for all any - Return on first, others continue race - Return on first
{ "parallel_spawn": { "tasks": [ { "label": "web-search", "task": "Search X" }, { "label": "docs-search", "task": "Find docs about X" } ], "wait": "all" } }
First subagent writes to context_store Second subagent reads from context_store Both notify via context_publish
{ "sessions_spawn": { "label": "processor", "task": "Process data", "contextSharing": "recent" } }
Subagents automatically announce completion: β Sub-agent completed: label task: ... result: ... runtime: Xs No polling needed!
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.