paw-review-github
Posts finalized review comments to GitHub as a pending review after critique iteration is complete.
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Posts finalized review comments to GitHub as a pending review after critique iteration is complete.
Annotates agent prompts with structural XML tags for comprehension, gap detection, and skill extraction. Use when analyzing agent prompt structure, comparing agents across projects, or identifying reusable vs w...
Transforms gap analysis findings into structured review comments with comprehensive rationale. Handles both initial draft generation and critique response iteration.
Systematically identifies gaps in correctness, safety, testing, and maintainability, categorizing findings by severity.
Reverse Thinking - Information Completeness Assessment. Mandatory pre-planning checkpoint that blocks planning until prerequisites are verified. Use when receiving specs, PRDs, tickets, RFCs, architecture desig...
Rigorous self-assessment checklist before marking any task as complete. Use when about to claim task completion, before final commit, when user asks "is it done?", or when transitioning from implementation to r...
Synthesizes findings across multiple PRs to identify cross-repository dependencies, interface mismatches, and coordination gaps.
Adds the standard open-source license header to new source files. Use involves creating new code files that require copyright attribution.
Run all validation checks before tagging a new release
Perform a code review before creating a PR
Release a new beta version - bumps versions in both package.json files, commits, tags, and pushes
Opinionated constraints for building better interfaces with agents.
Fetch and extract clean content from URLs using Jina Reader API. Use when users need to read webpage content, extract article text, or fetch URL content for analysis. Triggers on "fetch this page", "read this U...
Automate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.
A technical writer who crafts clear, comprehensive documentation. Specializes in README files, API docs, architecture docs, and user guides.
Create robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authenticated API work, conditional file operations, or error handling beyond simple shell comma...
Plan-first development workflow with review gates. Use when implementing features, refactoring, or any task requiring structured planning, iterative implementation with reviews, and clean commits. Triggers on r...
Search the web using Exa AI for real-time information retrieval. Use when users ask to search online, find current information, look up recent events, or need data beyond knowledge cutoff. Triggers on "search t...
Analyze GitHub issues, view PR details, fetch repository info, check CI status, get issue comments. Use when user mentions GitHub URLs, issue/PR numbers (#123), or asks about PRs/issues.
Fix TypeScript errors, get diagnostics, rename symbols, find references, organize imports. Use when user needs IDE/LSP tools for code navigation, diagnostics, and refactoring.
Refine plans through multi-agent expert discussion. Use when user says "get multiple expert opinions on this plan", "I want different perspectives on this approach", "have the agents discuss this strategy", "re...
Generate daily standup reports from GitHub and Linear. Use when user says "what did I work on yesterday", "generate my standup update", "summarize my recent activity", "what's on my plate today", or "prepare my...
Build a unified, ADHD-friendly web UI that consolidates 70+ CLI tools into a beautiful liquid glass interface for the AI File Organizer. Use when creating the complete frontend application that replaces all ter...
Simulates command execution in dry-run mode without file modifications. Sets dry_run flag, executes command with read-only constraint, then resets flag. Useful for testing workflows safely. Triggers on keywords...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.