본문으로 건너뛰기
cccskills
무료GitHub에 공개

local-review

Review a pull request or branch diff for bugs, security issues, and compliance with repository `AGENTS.md` instructions. It runs the review in a fresh subagent context using the project’s `REVIEW.md` policy, then reports findings in a defined format.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Code review the current PR (or branch diff against main) for bugs, security, and AGENTS.md compliance. MUST use when asked to review code.

windmill-labs/windmill스타 18,282(GitHub 18,282 + cccskills 0)
연동 도구GitHub

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Reviewing a pull request for defects
  • Checking a branch diff against repository rules
  • Preparing review findings for a code change

포함된 파일(1)

  • SKILL.md3.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Local Code Review

Run the same review locally that the GitHub auto-review actions run on PRs (Claude / Codex / Pi). The review policy lives in REVIEW.md.

Why a subagent: the review MUST run in a fresh context — not inline in the current session. If the user has been iterating on the diff, the main session has absorbed their reasoning and rationalizations, so it anchors and misses things CI catches. A subagent starts cold, like CI does.

Steps

  1. Determine the PR scope (cheap, do this in the main session):

    • If an argument is provided, treat it as a PR number or branch.
    • Otherwise, detect from the current branch vs main.
    • Confirm the PR/branch exists (gh pr view <n> or git rev-parse <branch>).
  2. Delegate the review to a fresh-context subagent with a self-contained prompt. The prompt MUST include:

    • The PR number or branch name to review.

    • The instruction to read REVIEW.md first for the policy, then AGENTS.md files in directories touched by the diff.

    • The exact output format (see below).

    • Whether --comment was requested (so the subagent emits inline-comment payloads if needed).

    • Any "Additional reviewer instructions" the user provided.

    • Claude Code: use the Agent tool with subagent_type: branch-diff-reviewer (read-only tools, purpose-built for this). If unavailable, fall back to general-purpose.

    • Codex / Pi: if the CLI exposes a fresh-session subagent mechanism, use it. Otherwise tell the user to run the skill in a fresh CLI session and stop — running inline in the current session defeats the purpose.

  3. Receive the findings from the subagent and relay them to the user verbatim. Do not re-summarize, re-judge, or filter — the whole point of fresh context is to surface what the main session would dismiss.

  4. Post comments if --comment was requested: use the gh commands below with the subagent's output as the body. The main session does the posting because the subagent is read-only.

Subagent prompt template

Review <PR #N | branch X> against main per the policy in REVIEW.md.

Steps:
1. Read REVIEW.md (repo root) for the full policy: severity triage, public-surface
   checklist, AGENTS.md compliance, test coverage assessment.
2. Read AGENTS.md (repo root) and any AGENTS.md in directories touched by the diff.
3. Get the diff: `gh pr diff <N>` (if PR) or `git diff main...<branch>`.
4. Get context: `gh pr view <N>` (if PR) or `git log main..<branch> --oneline`.
5. Read changed files only when the diff alone is insufficient to validate a finding.
6. Self-validate each finding: "is this definitely a real issue a senior engineer
   would flag?" Discard if uncertain.
7. Output findings in the exact format below. Do not modify any files.

<paste output format from below>

<if --comment requested:>
Additionally emit a JSON array of inline comments suitable for the GitHub reviews
API, one per finding that maps to a specific line:
[{"path": "...", "line": N, "side": "RIGHT", "body": "[P1] ..."}, ...]

Output format

## Code review

<verdict line per REVIEW.md>

Found N issues:

1. [P0|P1|P2] <description>
   <file_path:line_number>

2. [P0|P1|P2] <description>
   <file_path:line_number>

End with a Test coverage section per the shared policy.

If no issues are found:

## Code review

Good to merge.

No issues found. Checked for bugs, security, and AGENTS.md compliance.

Posting comments (--comment)

For a top-level PR comment:

gh pr review --comment --body "<summary from subagent>"

For inline comments on specific lines (using the JSON the subagent emitted):

gh api repos/{owner}/{repo}/pulls/{pr}/reviews \
  -f body="<summary>" -f event="COMMENT" -f comments="<json from subagent>"

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Plan the code changes needed to add a TriggerCrud-based trigger to Windmill. The checklist covers backend, database, API, CLI, frontend, capture, and validation work so the new trigger can be managed across the product.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Add a Kafka, GCP, or Azure style trigger to Windmill
  • Find all product areas affected by a new trigger kind
  • Review implementation and validation steps before a trigger PR
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

ai-chat

무료

Improve Windmill’s AI chat by reviewing its tools, prompts, result shapes, and context usage. The guidance helps place shared instructions where chat and CLI can use them, reduce repeated token costs, and compare behavior before and after changes with A/B evaluations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Edit Windmill chat tools or system prompts
  • Reduce chat context window usage
  • Benchmark a chat behavior change
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

ai-evals

무료

Create and run black-box benchmarks for Windmill AI generation modes such as flows, apps, scripts, CLI, and global requests. Each case exercises the production path, checks hard requirements, and uses an LLM judge to assess user-facing behavior before and after changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Adding a benchmark case for an AI mode
  • Comparing AI chat behavior before and after a change
  • Checking copilot changes with realistic requests
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

Use this reference to work with Windmill resources from the command line, including scripts, flows, datatables, and workspace settings. It also covers listing jobs, inspecting details and logs, retrieving results, and rerunning or restarting executions when investigating failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Inspecting a failed job and its logs
  • Reviewing recent runs and retrieving job results
  • Managing scripts and flows from the command line
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

Use this skill to shape modules with small interfaces and substantial behavior behind them. It helps you decide where a seam belongs, reduce complexity exposed to callers, and make code easier to test and maintain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Designing a module interface
  • Finding places to simplify a module
  • Choosing where behavior should vary
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

commit

무료

Use this skill to review pending changes, select only the relevant files for staging, and create a focused Git commit. It formats the single-line message with a Conventional Commits type such as feat, fix, or docs, and checks the resulting status.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Committing a new feature
  • Recording a bug fix
  • Committing documentation changes
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

windmill-labs의 스킬 모두 보기

이 스킬의 문제 신고