Coordinate multi-agent development pipelines using shared JSON task files.
npx skills add https://github.com/MMXC/openclaw-back --skill team-tasks
Please help me install this Agent Skill. Skill: team-tasks Source: https://github.com/MMXC/openclaw-back/tree/main/skills/team-tasks Command: npx skills add https://github.com/MMXC/openclaw-back --skill team-tasks
This Skill automates the coordination of multi-agent development workflows, ensuring tasks are executed sequentially or in parallel based on defined dependencies, and tracks progress through a centralized system.
sessions_send.code-agent, test-agent, and docs-agent, ensuring each step completes before the next begins.Initialize a new linear project named 'my-api' with a goal to 'Build REST API with tests and docs'.
High-intent search queries and answers about installing and using this skill.
Multi-agent development pipelines are coordinated using shared JSON task files that define dependencies, allowing sequential or parallel execution while tracking task status and collecting results centrally.
DAG workflow management for agent orchestration structures tasks as a dependency graph, enabling parallel execution of independent tasks while ensuring dependent tasks wait for prerequisite completion via shared JSON files.
Yes, debate mode enables multi-agent deliberation for complex decision-making within development pipelines, allowing assigned agents to collaboratively evaluate and resolve challenging problems through structured communication.
Initialize a linear project by defining a goal and generating shared JSON task files, then dispatch assignments to specific dev agents like code-agent, test-agent, and docs-agent using sessions_send for sequential execution.
No external dependencies are required; task coordination and agent dispatch are managed entirely through internal sessions_send communication and shared JSON task files for pipeline status tracking and result collection.
Choose linear pipelines for strictly sequential task execution where each step depends on the previous, and use DAG workflows when independent tasks can run in parallel to optimize multi-agent pipeline execution time.
EwallywCoordinate agent teams on shared task lists with staged pipeline execution.
DevMHOneDispatch tasks and inspect results on a NextRoute A2A server via CLI.
ammonfifeAssign and track task completions in a shared Turso database.
NicolasPadovamOrchestrate multi-agent workflows with squad definitions and configuration files.