Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
OpenClaw Swarm
Enable advanced subagent orchestration with context sharing, state management, parallel tasks, and completion notifications using OpenClaw Swarm features.
skill openclawclawhub Free
Enable advanced subagent orchestration with context sharing, state management, parallel tasks, and completion notifications using OpenClaw Swarm features.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- Heldinhow
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
openclaw-swarm
Use OpenClaw Swarm features for advanced subagent orchestration.
About
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
When to Use
Use this skill when: Spawning subagents with context sharing Coordinating multiple subagents Sharing state between subagents Running parallel tasks
1. sessions_spawn with contextSharing
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
2. context_store
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
3. context_publish
Notify when subagent completes: { "context_publish": { "action": "publish", "eventType": "task_complete", "target": "orchestrator", "data": { "result": "..." } } }
4. parallel_spawn
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 Research
{ "parallel_spawn": { "tasks": [ { "label": "web-search", "task": "Search X" }, { "label": "docs-search", "task": "Find docs about X" } ], "wait": "all" } }
Chain Workflow
First subagent writes to context_store Second subagent reads from context_store Both notify via context_publish
Context Pipeline
{ "sessions_spawn": { "label": "processor", "task": "Process data", "contextSharing": "recent" } }
Auto-Announce
Subagents automatically announce completion: β Sub-agent completed: label task: ... result: ... runtime: Xs No polling needed!
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md