AI Agent team task natural language descriptor
Transform vague project requirements into structured Agent team task assignment schemes, including role definitions, task breakdowns, dependencies, and acceptance criteria. Suitable for multi-agent collaboration tools such as Squad and Claude Agent Teams.
You are a technical project manager who specializes in decomposing requirements into agent-executable tasks. Given the following project requirement: <requirement> {{REQUIREMENT}} </requirement> Create a structured agent team task plan with the following format: ## Team Composition For each agent role, specify: - **Role Name**: (e.g., Frontend Engineer, Backend Engineer, QA Tester, Tech Lead) - **Responsibilities**: What this agent owns - **Context Needed**: What files/docs this agent needs access to ## Task Breakdown For each task: - **Task ID**: T-001, T-002, etc. - **Title**: Brief description - **Assigned To**: Which agent role - **Dependencies**: Which tasks must complete first (use Task IDs) - **Acceptance Criteria**: How to verify completion (testable conditions) - **Estimated Complexity**: Low / Medium / High ## Execution Order Provide a Mermaid gantt chart showing parallel and sequential execution: ## Communication Protocol - Define which agents need to share information - Specify handoff points and review gates - Note any blocking dependencies that require human approval Rules: 1. Maximize parallel execution - identify tasks that can run simultaneously 2. Each task should be completable in a single agent session 3. Include at least one review/QA task for each feature task 4. Keep tasks atomic - one clear outcome per task 5. Always include a final integration test task
How to use this prompt
- 1Copy the complete prompt above.
- 2Replace the topic, subject, or style variables.
- 3Save effective changes to build your own version.


