Systematically reviews code for bugs and improvement opportunities based on project-specific documentation.

Install

mkdir -p .claude/skills/review-photostructure && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11993" && unzip -o skill.zip -d .claude/skills/review-photostructure && rm skill.zip

Installs to .claude/skills/review-photostructure

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Review code for potential issues and improvements. Use when asked to review specific files, functions, or code sections.
120 chars✓ has a “when” trigger
Advanced

Key capabilities

  • Study project conventions, critical knowledge, and anti-patterns
  • Check configuration files for applicable rules (ESLint, TypeScript, Clang-Tidy)
  • Construct concrete failing scenarios for potential issues
  • Use subagents for exploration, validation, and iteration during review

How it works

The skill studies project documentation and configuration, then reviews code for correctness, quality, cross-platform safety, security, refactoring opportunities, and testing gaps, constructing failing scenarios and using subagents for verification.

Inputs & outputs

You give it
Specific files, functions, or code sections to review
You get back
Sorted list of verified issues by severity with problem, proof, solution, and location

When to use review

  • Reviewing code for bugs
  • Checking compliance with project standards
  • Performing a deep dive code review

About this skill

Code Review

Review the mentioned code for potential issues and improvements.

Before you start

Study the following project documents before reviewing:

  • CLAUDE.md — project conventions, critical knowledge, anti-patterns, and CI/CD constraints
  • CONTRIBUTING.md — development setup, pre-commit checklist, npm script naming conventions
  • doc/gotchas.md — platform-specific quirks, timeout issues, testing pitfalls
  • doc/C++_REVIEW_TODO.md — C++ review checklist (memory management, RAII, platform API usage, security validation)

Also check these configuration files for applicable rules:

  • eslint.config.mjs — ESLint rules including security plugin
  • tsconfig.base.json — strict TypeScript settings (exactOptionalPropertyTypes, noUncheckedIndexedAccess, etc.)
  • .clang-tidy — C++ static analysis checks (bugprone, performance, clang-analyzer)

Only report verified bugs, things that are actually wrong. Do NOT report:

  • Speculative future risks ("if someone later removes this guard...")
  • Feature requests or suggestions disguised as issues
  • Things you haven't proven with concrete evidence from the codebase

For EVERY potential issue, you MUST complete these steps before reporting:

  1. Read the actual code (not just the diff). Follow the full call chain
  2. Search for all callers/usages to understand context
  3. Read any design docs or TPPs that explain the rationale
  4. Construct a concrete failing scenario. If you can't describe exactly how the bug manifests, it's not an issue
  5. Discard it if your research shows it's intentional or already handled

Use subagents liberally:

  • Exploration: When more than three files need review, or the code is complex, launch Explore subagents (one per file/area) to gather findings
  • Validation: Before reporting ANY issue, launch a subagent to verify it. Have it trace the full call chain, search for guards/handlers you might have missed, and read relevant design docs. If the subagent can't confirm the bug, discard the issue
  • Iteration: After your initial analysis, launch a second round of subagents to dig deeper into the most promising findings. Check edge cases, race conditions, and interaction effects between changed files

If you find zero real issues after thorough research, say "No issues found." Do not pad the list.

What to look for

Correctness

  • Logic or implementation errors
  • If correct but surprising, suggest a clearer equivalent or a comment
  • Don't trust docs or implementation as authoritative. If they disagree, flag it, consider what you think is correct (it may be neither!), and explain your reasoning

Code quality

  • Violations of project design principles or coding standards
  • Dead code (suggest deleting it)
  • Comments that merely restate the function name (suggest removing)

Cross-platform safety

  • C++ code must use RAII for all resource management (no raw malloc/free, no leaked CoreFoundation refs, no unclosed handles)
  • Path handling must account for platform differences (UNC paths on Windows, symlinks, mount points)
  • Native code must use Node-API v9 correctly (proper ref counting, error propagation, async worker lifecycle)

Security

  • Path traversal or injection vulnerabilities (verify realpath/canonicalization)
  • Buffer overflows or integer overflow in string conversions
  • Unsafe use of child_process, eval, non-literal require (per eslint-plugin-security)
  • Thread safety issues in C++ (std::atomic vs volatile, data races)

Refactoring

  • Duplicated logic across platform implementations that could be shared
  • Overly complex functions that should be decomposed
  • Abstractions that no longer fit (or missing abstractions that cause repeated code)
  • Do NOT flag naming preferences or stylistic choices

Testing gaps

  • Missing coverage for critical paths or edge cases
  • Tests that use anti-patterns from CLAUDE.md (arbitrary timeouts, forcing GC, setImmediate in afterAll)
  • Dynamic filesystem values tested with exact equality instead of type checks
  • Missing Windows retry logic for directory cleanup

TypeScript strictness

  • Code must compile under the project's strict settings (exactOptionalPropertyTypes, noUncheckedIndexedAccess, etc.)
  • No inline imports — use standard top-level imports
  • Scripts must be .ts executed with tsx, never .js/.mjs/.cjs

Response format

  1. Completely omit any issues that are irrelevant after research and analysis.
  2. Sort remaining issues by severity (Critical > High > Medium > Low).

For each issue use a short ID (e.g. #A, #B) and include:

  • Priority: Critical / High / Medium / Low
  • Problem: What's wrong, why, and the concrete scenario where it fails
  • Proof: The specific code path or test that demonstrates the bug
  • Solution: A concrete fix
  • Location: File and line reference

Emit detailed findings, and then use AskUserQuestion with checkboxes for each item so the user can accept, veto, or comment on each one individually.

When not to use it

  • When reporting speculative future risks
  • When making feature requests or suggestions disguised as issues
  • When reporting issues that cannot be proven with concrete evidence

Limitations

  • Only reports verified bugs, not speculative risks or feature requests
  • Requires constructing a concrete failing scenario for every potential issue
  • Must discard issues if research shows they are intentional or already handled

How it compares

This skill conducts deep code reviews by cross-referencing extensive project documentation and configuration, and requires concrete failing scenarios for every reported issue, unlike a superficial review.

Compared to similar skills

review side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
review (this skill)04moReviewAdvanced
python-testing-patterns772moReviewIntermediate
dependency-upgrade265moReviewIntermediate
test-cases577moNo flagsBeginner

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