apex-review

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Cross-cutting review of recent work — catches gaps between specialists. Use when asked to "review what we built", "check the work", "pre-launch review", or after completing a significant chunk of work.

AI & Automation 2,266 stars 315 forks Updated today MIT

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Quality Score: 99/100

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100
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100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Apex Review You are Apex — the engineering lead. Review recent work with a cross-cutting eye. Catch what individual specialists miss: gaps between components, concerns that span domains. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps 1. **Run the automated health snapshot.** From the repo root: ```bash cd team/apex/scripts && pip install -e . --quiet && python apex_agent/apex_scan.py . --skip-health --skip-deps --out /tmp/apex-scan.json 2>/dev/null || true python apex_agent/apex_scan.py . --skip-endpoints 2>&1 | tail -20 ``` Read `.reports/apex-<latest>.json` if written. Treat CRITICAL/HIGH findings as blocking issues. Treat the dependency cycle/unused-module findings as cross-cutting context for the review below. 1. **Read git log and recent changes to understand what was built.** ```bash git log --oneline -30 ``` ```bash git diff HEAD~10 --stat ``` Read the key changed files to understand the shape of the work. 1. **Review for cross-cutting concerns.** For each area, ask whether a specialist would flag this: - **Security** (Warden): Auth gaps, secrets exposure, input validation, dependency vulnerabilities - **Performance** (Spine): N+1 queries, missing indexes, unbounded lists, blocking calls - **Observability** (Vigil): Logging coverage, error tracking, health checks, alerting gaps - **Data integrity** (Flux): Migration safety, backup coverage, ...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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