跳到正文
cccskills
免费在 GitHub 公开

engineering-loop

Implement a repository code or configuration change through reproduction, focused checks, review, and evidence. Use for end-to-end features and fixes; not for explanation-only, review-only, research, content publishing, or production operations.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(7)

  • SKILL.md4.6 KB
  • agents/openai.yaml230 B
  • references/evidence-example.md2.0 KB
  • references/hard-debugging.md1.8 KB
  • references/independent-review.md3.8 KB
  • references/loop-contract.md4.6 KB
  • references/loop-policy.md2.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Engineering Loop

Deliver a verified change with minimal supervision and proportionate checking. Start with one agent. Delegate only when authorized and independent work or review coverage justifies the overhead. Follow applicable repository and team requirements; this skill adds no ticketing or mandatory-agent process.

Establish the baseline

  1. Read applicable AGENTS.md files and repository documentation.
  2. Record the requested behavior, constraints, and observable done conditions.
  3. Inspect the branch and working tree; preserve unrelated user-owned changes.
  4. Before changing shared behavior, trace affected callers, consumers, and tests using targeted search or an available code graph. Expand along relevant paths.
  5. Identify repository-native validation and run the smallest safe baseline that separates pre-existing failures from task regressions.

Resolve routine choices from evidence. Ask only for missing authority or a material decision: ambiguous acceptance, incompatible public behavior, or destructive/data-changing side effects not already authorized. Continue independent authorized work while awaiting an answer.

Load only the needed reference:

Run the loop

  1. Reproduce the defect, or capture the current behavior for a feature.
  2. Choose the smallest coherent change and the evidence that will prove it.
  3. Add a failing regression test first when practical.
  4. Implement one bounded change and run the narrowest relevant check.
  5. If an unplanned path is necessary, record why and update the scope and checks.
  6. Classify failures as product, test, environment, assumption, or external blocker. Do not change product code to mask environment failures.
  7. Run affected consumer checks and repository-required broader checks.
  8. Review the complete diff first for task-contract compliance, then for code quality, regressions, security, and maintainability.
  9. Fix consequential findings and rerun checks affected by those fixes.

Once acceptance evidence and required checks pass, broaden or repeat checks only for new changes, failures, or unresolved concerns. Add tests when they prove behavior or a meaningful invariant, not merely mirror a low-impact edit.

If no test harness exists, use a small repeatable script or documented manual check with inputs, expected behavior, and observed results. Record missing automated coverage; a build alone does not prove runtime behavior. Do not add a large testing framework solely to satisfy the loop.

Keep a compact ledger of facts, changed files, commands, outcomes, and the next decision instead of full logs.

Stop conditions

  • After two identical failures, stop blind retries and reclassify the cause. Resume only with changed relevant state or an evidence-producing probe.
  • If discovery or review repeats without new evidence, checkpoint the diff, unresolved issue, and next useful probe. Do not restart the same cycle.
  • Stop and report a blocker when progress requires missing authority, secrets, unavailable infrastructure, an unauthorized destructive action, or an unresolved material product decision.
  • When an explicit loop budget is exhausted, stop with the latest judge evidence instead of silently expanding the budget. Without an explicit budget, continue only while a bounded next action can produce new evidence; productive iterations have no arbitrary fixed count.
  • Never make a failing check pass by weakening assertions, deleting coverage, hiding errors, or silently changing acceptance criteria.
  • Do not query production, deploy, migrate, merge, or publish unless the user explicitly authorizes that action.

Finish with evidence

Report changed behavior and files, regression or acceptance proof, exact check commands and outcomes, review disposition, and remaining limitations. Include the final reviewed revision when independent review was used. Never label blocked validation or unresolved consequential findings as complete. See evidence-example.md for a filled-in handoff.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Build or modify backend APIs, services, jobs, persistence, and integrations while preserving contracts, authorization, data integrity, and failure behavior. Use for server-side features, database changes, background processing, backend defects, and service refactors; do not use for frontend-only or infrastructure-only work.

中文简介正在准备中。当前显示原文说明。

Phelan164/codex-howto142026年10月17日 更新

Build or modify frontend interfaces using repository-native components while preserving accessibility, responsive behavior, state handling, and visual verification. Use for UI features, design implementation, forms, client-side defects, and frontend refactors; do not use for backend-only or infrastructure-only work.

中文简介正在准备中。当前显示原文说明。

Phelan164/codex-howto142026年10月17日 更新

Select the smallest useful Codex engineering workflow from this repository's existing skills. Use when a task spans multiple engineering concerns, the user is unsure which skill to invoke, or loading every specialist would waste context; return a recommendation only and do not execute the engineering task.

中文简介正在准备中。当前显示原文说明。

Phelan164/codex-howto142026年10月17日 更新

Review a small code or documentation change and return only evidence-backed correctness findings. Use in the Codex How To local plugin lab; do not modify files or post remote comments.

中文简介正在准备中。当前显示原文说明。

Phelan164/codex-howto142026年10月17日 更新

Maintain a review-first Markdown knowledge base for Codex practices with source provenance, engineering capture, citation-aware queries, explicit archive and promotion, and deterministic linting. Use when asked to capture a durable engineering lesson, ingest Codex research, query or archive what the repository knows, check wiki health, reconcile conflicting guidance, or promote verified knowledge.

中文简介正在准备中。当前显示原文说明。

Phelan164/codex-howto142026年10月17日 更新

Plan and implement infrastructure, CI/CD, container, deployment, observability, and operational configuration changes with least privilege, staged validation, and rollback awareness. Use for pipelines, infrastructure as code, Kubernetes, containers, release automation, monitoring, and production-readiness work; do not use to perform destructive production actions without explicit authorization.

中文简介正在准备中。当前显示原文说明。

Phelan164/codex-howto142026年10月17日 更新

查看 Phelan164 的全部技能

报告此技能的问题