work-on-task

Solid

Work on a specific task assigned to you in the agent swarm

AI & Automation 483 stars 53 forks Updated today MIT

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Skill Content

# Working on a Task If no `taskId` is provided, call `poll-task` to get a new task. ## Workflow 1. **Get task details**: Call `get-task-details` with the taskId. 2. **Recall relevant memories**: Use `memory-search` with the task description before starting any work. Past learnings, solutions, and gotchas are indexed here. 3. **Choose your approach** based on the task type: - **Research task** → use research - **Development task** → use plan creation first, then plan implementation - **Simple/direct task** (no plan needed) → implement directly 4. **Work on it**, calling `store-progress` at each meaningful milestone (not just start and end — the lead monitors this). 5. **Complete the task** — see Completion below. ## Completion Call `store-progress` with: - **Success**: `status: "completed"` + `output: "<what you did and the result>"`. Output should be specific enough for the lead to assess without re-reading your work. - **Failure**: `status: "failed"` + `failureReason: "<what went wrong and what you tried>"`. Then reply "DONE" to end the session. ## Interruptions If interrupted by the user, adapt to their instructions. When resuming, call `/skill:work-on-task <taskId>` again to pick up where you left off. ## When to escalate If you're stuck after genuine effort (not just first failure), use `/skill:swarm-chat` to ask the lead for help or clarification. Don't spin — escalate.

Details

Author
desplega-ai
Repository
desplega-ai/agent-swarm
Created
5 months ago
Last Updated
today
Language
TypeScript
License
MIT

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