Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Task Orchestra
Coordinate multiple agents and tasks for complex workflows. Orchestrate subagents, manage dependencies, handle parallel execution, and ensure successful comp...
skill openclawclawhub Free
Coordinate multiple agents and tasks for complex workflows. Orchestrate subagents, manage dependencies, handle parallel execution, and ensure successful comp...
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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
- 1.0.0
Provenance
- Publisher
- tobisamaa
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Task Orchestra
Coordinate multiple agents and tasks for complex workflows.
When to Use
Multi-step operations requiring coordination Parallel execution of independent tasks Complex workflows with dependencies Orchestrating subagents for large projects
1. Task Coordination
Break down complex tasks into manageable steps Manage dependencies between tasks Coordinate parallel execution Handle task sequencing and scheduling
2. Agent Orchestration
Spawn and manage multiple subagents Route tasks to appropriate agents Monitor progress and handle failures Aggregate results from multiple sources
3. Workflow Management
Define workflow patterns and templates Implement error handling and recovery Manage state and progress tracking Coordinate handoffs between agents
4. Dependency Resolution
Analyze task dependencies Create execution order Handle conditional execution Manage resource conflicts
1. Sequential Execution
Task A β Task B β Task C
2. Parallel Execution
Task A, Task B, Task C β Aggregate
3. Pipeline Processing
Input β Task A β Task B β Task C β Output
4. Supervisor Pattern
Coordinator β Multiple Subagents β Results
5. Event-Driven Processing
Event β Trigger β Response β Next Event
Quick Actions
orchestrate [workflow] - Execute complex workflow parallel [tasks] - Run tasks in parallel pipeline [steps] - Chain tasks in sequence supervise [agents] - Manage multiple agents dependencies [tasks] - Analyze and resolve dependencies
Usage Examples
"Orchestrate a complete research project with multiple agents" "Run these tasks in parallel and combine results" "Create a pipeline for content creation from research to publication" "Supervise a team of agents working on different aspects" "Analyze dependencies and create execution order"
Research Project
1. Research Topic β Research Agent 2. Data Collection β Data Agent 3. Analysis β Analysis Agent 4. Report Generation β Writing Agent 5. Review β QA Agent
Content Creation
1. Topic Research β Research Agent 2. Outline Creation β Writing Agent 3. Draft Writing β Writing Agent 4. Editing β Editing Agent 5. Publication β Publishing Agent
Software Development
1. Requirements β Analysis Agent 2. Design β Design Agent 3. Implementation β Coding Agent 4. Testing β QA Agent 5. Deployment β Deployment Agent
Spawning Agents
sessions_spawn({ task: "specific task", label: "agent-name", mode: "run" })
Monitoring Progress
subagents list
Handling Failures
subagents kill [agent-id] subagents steer [agent-id] "new instructions"
Types of Dependencies
Data Dependencies: Task B needs output from Task A Resource Dependencies: Tasks sharing same resources Order Dependencies: Tasks must run in specific order Conditional Dependencies: Task runs only if condition met
Resolution Process
1. Identify all dependencies 2. Create dependency graph 3. Find topological sort 4. Execute in dependency order 5. Handle conflicts and cycles
Common Failure Scenarios
Agent Failure: Subagent crashes or times out Dependency Failure: Required task fails Resource Conflict: Multiple agents need same resource Network Issues: API calls fail or timeout
Recovery Strategies
Retry: Attempt failed task again Alternative: Use different approach or agent Skip: Continue without failed task Rollback: Undo previous steps
Progress Tracking
Track completed tasks Monitor current execution Record task results Maintain workflow state
Checkpointing
Save progress at key points Enable restart from checkpoints Maintain consistency across failures
Parent β Child
/sessions_send [agent-id] "instructions"
Child β Parent
Auto-announce results Reply with findings Report errors and status
Agent β Agent
Share data through files Coordinate via shared state Trigger other agents
Parallel Execution
Identify independent tasks Run in parallel when possible Aggregate results efficiently
Resource Management
Monitor agent resource usage Balance load across agents Avoid resource conflicts
Efficiency Metrics
Task completion time Resource utilization Error rates Success rates
Agent Limits
Max 10 concurrent subagents Max 2 levels of nesting 10-minute timeout per agent Automatic cleanup
Data Integrity
Validate task inputs/outputs Maintain consistency Handle partial failures Ensure atomic operations
1. Hierarchical Orchestration
Main Coordinator β Team Coordinators β Individual Agents
2. Dynamic Work Allocation
Assign tasks based on agent capabilities Reassign if agent fails Balance load dynamically
3. Event-Driven Workflows
Event β Trigger β Agent β Result β Next Event
4. Adaptive Planning
Plan β Execute β Monitor β Adjust β Repeat
Self-Evolution
Use for complex self-improvement tasks Coordinate multiple evolution agents Manage long-term capability building
Analysis Skills
Orchestrate research projects Coordinate data analysis Manage multi-step investigations
Content Creation
Coordinate content production pipelines Manage multi-agent content creation Orchestrate publication workflows
Common Commands
# List running agents subagents list # Kill failed agent subagents kill [id] # Send instructions sessions_send [agent-id] "message" # Spawn new agent sessions_spawn({ task: "task", label: "name", mode: "run" })
Workflow Examples
# Research project orchestrate "research-project" with agents: research, analysis, writing # Content pipeline pipeline "content-creation" with steps: research, outline, draft, edit, publish # Software development supervise "dev-team" with agents: analysis, design, coding, testing, deployment
Best Practices
Start Simple: Begin with sequential execution Add Parallelism: Identify independent tasks Handle Failures: Implement robust error handling Monitor Progress: Track execution and results Optimize Performance: Balance load and resources
Success Metrics
Task completion rate Execution time efficiency Resource utilization Error recovery effectiveness Overall workflow success Remember: Good orchestration makes complex tasks manageable and reliable.
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