code-review

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Review code changes for quality, security, performance, and correctness following project-specific standards. Use when reviewing pull requests, examining git diffs, or when the user asks for a code review. This skill should be used proactively — when the user asks for a review without specifying commits, automatically detect the current branch and diff against the main branch.

jd-opensource By jd-opensource schedule Updated 6/12/2026

name: code-review description: Review code changes for quality, security, performance, and correctness following project-specific standards. Use when reviewing pull requests, examining git diffs, or when the user asks for a code review. This skill should be used proactively — when the user asks for a review without specifying commits, automatically detect the current branch and diff against the main branch.

Code Review

Workflow

Step 1: Determine the diff

If the user provides explicit SHAs or a PR link, use those. Otherwise, auto-detect:

# Fetch latest remote state
git fetch origin main --quiet

# Detect current branch
CURRENT_BRANCH=$(git branch --show-current)

# Find the merge base with origin/main
MERGE_BASE=$(git merge-base origin/main HEAD)

# Show what changed
git diff --stat $MERGE_BASE..HEAD
git diff $MERGE_BASE..HEAD

If CURRENT_BRANCH is main, warn the user and ask which commits to review.

Step 2: Read project standards

Read custom-code-style.md for project-specific coding style.

Step 3: Review against the checklist

Correctness:

  • Logic handles edge cases and boundary conditions
  • Error handling is comprehensive (no silent failures)
  • Type safety maintained (no unsafe casts, proper use of std::optional)
  • Resource lifecycle correct (RAII, no leaks, proper cleanup order)

Architecture:

  • Clean separation of concerns, no layer violations
  • Dependencies flow in the correct direction
  • Changes align with existing patterns in the codebase
  • No unnecessary coupling introduced

Performance & Concurrency:

  • No performance regressions on hot paths
  • Thread safety: proper locking, no data races
  • CUDA/NPU kernels: memory coalescing, occupancy, sync correctness
  • No unnecessary copies of large objects (tensors, vectors)

Testing:

  • Tests verify actual logic, not just mock wiring
  • Edge cases and error paths covered
  • Integration tests for cross-component changes

Production Readiness:

  • Backward compatibility maintained (or breaking changes documented)
  • Migration strategy for schema/config changes
  • No hardcoded values that should be configurable

Step 4: Output findings

Use the format below.

Output Format

Strengths

[Specific things done well, with file:line references]

Issues

Critical (Must Fix)

[Bugs, security holes, data loss risks, broken functionality]

Important (Should Fix)

[Architecture problems, missing error handling, test gaps, performance issues]

Minor (Nice to Have)

[Style, optimization opportunities, documentation improvements]

Each issue must include:

  • File:line reference
  • What is wrong
  • Why it matters
  • How to fix (if not obvious)

Recommendations

[Broader improvements for code quality, architecture, or process]

Assessment

Ready to merge? [Yes / No / With fixes]

Reasoning: [1-2 sentence technical assessment]

Rules

DO:

  • Apply project-specific style from custom-code-style.md
  • Follow DDD (Domain Driven Design) principles, and keep the codebase clean and maintainable
  • Categorize by actual severity (not everything is Critical)
  • Be specific with file:line references
  • Explain WHY issues matter
  • Acknowledge strengths
  • Give a clear verdict

DON'T:

  • Approve without thorough review
  • Mark nitpicks as Critical
  • Give feedback on code not in the diff
  • Be vague (e.g., "improve error handling" without specifics)
Install via CLI
npx skills add https://github.com/jd-opensource/xllm --skill code-review
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