task-planner

Task Planner This skill helps you turn ambiguous or large requests into a clear, sequenced plan with ownership and verification. Outputs To Produce A short problem statement Assumptions and open questions A step-by-step plan with measurable outcomes Risks and rollback/containment options Test and verification steps Decomposition Technique Split work into thin vertical slices: One slice should be mergeable on its own Each slice should include tests or validation Prefer smallest unit that reduces uncertainty Common slice types: Spec tests (lock requirements, CLI flags, edge cases) Implementation changes (small, isolated) Documentation updates Observability and traceability improvements Dependency And Priority Rules Identify blockers first (missing API, failing tests, permissions). Order by "unblocks others" and "reduces uncertainty". For multi-agent work, keep interfaces stable and define contracts (inputs/outputs) per slice. Multi-Agent Assignment When delegating: Specify the exact deliverable (files, tests, output format) Specify constraints (no commits, branch constraints, time limits) Specify the acceptance test (what must pass) Example delegation message: Please write tests for . Constraints: - Do not change implementation yet - Use pytest Acceptance: - Tests fail before implementation - Tests cover edge cases: <...> TodoList Integration Use a TodoList to track execution: Keep items small, phrased as outcomes Include "verify" tasks (tests, manual checks) Mark completed immediately to prevent drift Example TodoList: Add failing tests for Implement behind tests Run targeted tests Update docs Run full test suite Progress Reporting For status updates, report: What is done (with tests run) What is next What is blocked and by what