closed-loop-delivery
Use when a coding task must be completed against explicit acceptance criteria with minimal user re-intervention across implementation, review feedback, deployment, and runtime verification.
- License 许可
- MIT
- 最近更新
- 2026-04-14
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01 前言 Front Matter
- name
- closed-loop-delivery
- risk
- safe
- source
- community
- date_added
- 2026-03-12
- description
- Use when a coding task must be completed against explicit acceptance criteria with minimal user re-intervention across implementation, review feedback, deployment, and runtime verification.
03 SKILL.md 正文
Closed-Loop Delivery
Overview
Treat each task as incomplete until acceptance criteria are verified in evidence, not until code is merely changed.
Core rule: deliver against DoD (Definition of Done), not against code diff size.
When to Use
Use this skill when:
- user gives a coding/fix task and expects end-to-end completion
- task spans code + tests + PR comments + dev deploy + runtime checks
- repeated manual prompts like "now test", "now deploy", "now re-check PR" should be avoided
Do not use this skill for:
- pure Q&A/explanations
- prod deploy requests without explicit human approval
- tasks blocked by missing secrets/account access that cannot be inferred
Required Inputs
Before execution, define these once:
- task goal
- acceptance criteria (DoD)
- target environment (
devby default) - max iteration rounds (default
2)
If acceptance criteria are missing, request them once. If user does not provide, propose a concrete default and proceed.
Issue Gate Dependency
Before execution, prefer using create-issue-gate.
- If issue status is
readyand execution gate isallowed, continue. - If issue status is
draft, do not execute implementation/deploy/review loops. - Require user-provided, testable acceptance criteria before starting execution.
Default Workflow
-
Define DoD
- Convert request into testable criteria.
- Example: checkout task DoD = "checkout endpoint returns a valid, openable third-party payment URL in dev".
-
Implement minimal change
- Keep scope tight to task goal.
-
Verify locally
- Run focused tests first, then broader checks if needed.
-
Review loop
- Fetch PR comments/reviews.
- Classify valid vs non-actionable.
- Fix valid items, re-run verification.
-
Dev deploy + runtime verification
- Deploy to
devwhen runtime behavior matters. - Verify via real API/Lambda/log evidence against DoD.
- Deploy to
-
Completion decision
- Only report "done" when all DoD checks pass.
- Otherwise continue loop until pass or stop condition.
PR Comment Polling Policy
Avoid noisy short polling by default. Use batched windows:
- Round 1: wait
3m, collect delta comments/reviews - Round 2: wait
6m, collect delta again - Final round: wait
10m, collect all remaining visible comments/reviews
At each round:
- process all new comments in one batch
- avoid immediate re-poll after each single comment
- after the
10mround, stop waiting and proceed with all comments visible at that point
If CI is still running, align polling to check completion boundaries instead of fixed rapid polling.
Human Gate Rules (Must Ask)
Require explicit user confirmation for:
- production/staging deploy beyond agreed scope
- destructive operations (history rewrite, force push, data-destructive ops)
- actions with billing/security posture changes
- secret values not available in repo/runtime
- ambiguous DoD that materially changes outcome
Iteration/Stop Conditions
Stop and escalate with a concise blocker report when:
- DoD still fails after max rounds (
2default) - external dependency blocks progress (provider outage, missing creds, account permission)
- conflicting review instructions cannot both be satisfied
Escalation report must include:
- what passed
- what failed
- evidence (commands/logs/API result)
- smallest decision needed from user
Output Contract
When claiming completion, always include:
- acceptance criteria checklist with pass/fail
- commands/tests run
- runtime evidence (endpoint/Lambda/log key lines)
- PR status (new actionable comments count)
Do not claim success without evidence.
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