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review-summary

Generate a compact summary of the most recent code review results and save it for future sessions. Use this at the end of a coding session after /code-review has run, or when the user says "summarize the review", "save the results", "generate a summary", or wants to preserve review context before closing a session.

소스 정보

저장소
bdfinst/agentic-dev-team
최근 소스 활동
2026년 6월 6일 00:32
감지된 SKILL.md 언어
영어
스타
302
포크
35

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
name
review-summary
description
Generate a compact summary of the most recent code review results and save it for future sessions. Use this at the end of a coding session after /code-review has run, or when the user says "summarize the review", "save the results", "generate a summary", or wants to preserve review context before closing a session.
argument-hint
[--from <json-file>]
user-invocable
true
allowed-tools
Read, Write, Glob, Bash(date *), Bash(git rev-parse *), Bash(git branch *), Bash(mkdir *)
# Review Summary Role: orchestrator. This skill summarizes and persists review results — it does not review code. You have been invoked with the `/review-summary` skill. Generate a compact summary of the most recent code review. ## Orchestrator constraints 1. **Do not re-analyze code.** Summarize existing review results only. 2. **Keep summaries under 150 words.** Compact summaries replace full conversation history for future sessions (per [Minimum CD session closure](https://migration.minimumcd.org/docs/agentic-cd/agent-configuration/) pattern). 3. **Use the template exactly.** Structured output enables machine parsing. 4. **Be concise.** The 150-word limit is a ceiling, not a target. Shorter is better. No filler phrases. ## Parse Arguments Arguments: $ARGUMENTS - `--from <json-file>`: Read review results from a JSON file (output of `/code-review --json`). If not provided, summarize from the most recent `/code-review` output in the conversation. ## Steps ### 1. Gather review data If `--from` is specified, read the JSON file. Otherwise, look for the most recent code review results in the current conversation context. Extract: overall status, agent statuses, issue counts by severity, and top issues. ### 2. Generate compact summary Write a summary under 150 words following this template: ```markdown ## Review: <branch> @ <short-sha> — <date> **Status**: <PASS|WARN|FAIL> (<N> agents, <N> issues) **Findings**: - <top 3-5 findings, one line each, severity prefix> **Blocked by**: <agent names that returned fail, or "none"> **Action items**: <1-3 concrete next steps> ``` ### 3. Save summary Write the summary to `.claude/review-summaries/<date>-<short-sha>.md`. Create the `.claude/review-summaries/` directory if it doesn't exist. ### 4. Report Display the summary to the user. Note that it will be available as context in future sessions.
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