Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
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OneWave-AI/claude-skills3662026년 10월 20일 업데이트
무료GitHub에 공개
git-pr-reviewer
Review pull requests for code quality, security issues, and best practices. Use when reviewing PRs, checking code changes, or analyzing diffs before merge.
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설치 방법 보기포함된 파일(1)
- SKILL.md1.8 KB
SKILL.md(원문)
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Git PR Reviewer
Instructions
When reviewing a pull request:
- Get the diff: Run
git diff main...HEADorgit diff <base-branch>...HEAD - Analyze changed files: Identify all modified, added, and deleted files
- Review each file for:
- Logic errors and bugs
- Security vulnerabilities (SQL injection, XSS, hardcoded secrets)
- Performance issues (N+1 queries, unnecessary re-renders, memory leaks)
- Code style and consistency
- Missing error handling
- Test coverage gaps
Review Checklist
Security
- No hardcoded credentials or API keys
- Input validation on user data
- Proper authentication/authorization checks
- No SQL injection vulnerabilities
- XSS prevention in place
Code Quality
- Functions are small and focused
- No code duplication
- Clear variable/function naming
- Proper error handling
- No unused imports or dead code
Performance
- No unnecessary database queries
- Efficient algorithms used
- Proper caching where needed
- No memory leaks
Testing
- New code has tests
- Edge cases covered
- Tests are meaningful, not just for coverage
Output Format
## PR Review Summary
### Overview
[Brief summary of changes]
### Issues Found
#### Critical
- [Issue description + file:line]
#### Warnings
- [Issue description + file:line]
#### Suggestions
- [Improvement ideas]
### Approval Status
[APPROVE / REQUEST CHANGES / NEEDS DISCUSSION]
Example
# Review current branch against main
git diff main...HEAD --stat
git diff main...HEAD
리뷰
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댓글
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같은 저장소의 스킬
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OneWave-AI/claude-skills3662026년 10월 20일 업데이트
Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OneWave-AI/claude-skills3662026년 10월 20일 업데이트
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OneWave-AI/claude-skills3662026년 10월 20일 업데이트
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OneWave-AI/claude-skills3662026년 10월 20일 업데이트
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
OneWave-AI/claude-skills3662026년 10월 20일 업데이트