Team Tasks
CheckedCoordinate multi-agent development pipelines using shared JSON task files. Supports Linear, DAG, and Debate modes for AI agent orchestration across code, test, docs, and monitor agents.
Install on your platform
Showing OpenClaw.
- 1
Run this in your terminal
terminal$ openclaw skills install team-tasks
What we know about this skill
Publisher
win4r
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Install target
Pinned to c9ef7384
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Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
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SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
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Makes no network calls.
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Pinned to a commit: passed
Scanned win4r/team-tasks at c9ef7384a1.
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- Commit
- c9ef7384a1
- Manifest
- SKILL.md
- Scanned
- 6 files, 1,921 lines
About this skill
What it does
The team-tasks skill enables the coordination of multiple AI agents working on a software development pipeline. It uses shared JSON task files to define workflows involving agents responsible for coding, testing, documentation, and monitoring. This allows for orchestration in Linear, Directed Acyclic Graph (DAG), or Debate modes, ensuring tasks are completed in a structured and collaborative manner.
When to use it
- Automated Feature Development: Streamline the creation of new features by having agents handle code generation, unit testing, documentation updates, and performance monitoring sequentially.
- Complex Bug Fixes: Coordinate agents to diagnose issues, implement fixes across multiple files, verify solutions with automated tests, and update relevant documentation.
- Release Preparation: Orchestrate a series of tasks including final code review, security scans, deployment scripts generation, and post-deployment validation using different specialized AI agents.
- Documentation Refresh: Automatically trigger agents to update documentation based on changes made by other agents in the development pipeline.
Key capabilities
- JSON task file definition for workflow configuration
- Linear execution mode
- Directed Acyclic Graph (DAG) execution mode
- Debate execution mode
- Support for code, test, docs, and monitor AI agent types
- Multi-agent orchestration
Example prompts
- "Run the 'release_v1.2' task file in DAG mode."
- "Execute the 'new_feature_x' workflow using linear execution."
- "Start the 'documentation_update' task, prioritizing agents for code changes."
Tips & gotchas
The JSON task files require careful structuring to define dependencies and agent interactions. Ensure all participating AI agents are compatible with the team-tasks skill and understand their assigned roles within the defined workflows.
Requirements
Required binaries