Use this skill when categorizing code review findings into severity levels. Apply when determining which emoji and label to use for PR comments, deciding if an issue should be flagged at all, or classifying findings as CRITICAL, IMPORTANT, DEBT, SUGGESTED, or QUESTION.
npx skills add https://github.com/bitwarden/ai-plugins --skill classifying-review-findings
| Emoji | Category | Criteria |
| ----- | --------- | ------------------------------------------------------------------------------ |
| ❌ | CRITICAL | Will break, crash, expose data, or violate requirements |
| ⚠️ | IMPORTANT | Missing error handling, unhandled edge cases, could cause bugs |
| ♻️ | DEBT | Duplicates patterns, violates conventions, needs rework within 6 months |
| 🎨 | SUGGESTED | Measurably improves security, reduces complexity by 3+, eliminates bug classes |
| ❓ | QUESTION | Requires human knowledge - unclear requirements, intent, or system conflicts |
ALWAYS use hybrid emoji + text format for each finding (if multiple severities apply, use the most severe: ❌ > ⚠️ > ♻️ > 🎨 > ❓):
Verify ALL three:
If any answer is "no" or "unsure" → DO NOT classify as a finding.
Only suggest improvements that provide measurable value:
Provide concrete metrics:
If you can't measure the improvement, don't suggest it.
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Comprehensive GitHub code review with AI-powered swarm coordination
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
Take bitwarden/classifying-review-findings from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.