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Found 2,779 Skills
A 'skill for creating skills'. This tool automates the entire process of converting any GitHub repository into a standardized Trae skill, and is a core tool for expanding AI Agent capabilities.
Request/execute structured code review: use after completing important tasks, at end of each execution batch, or before merge. Based on git diff range, compare against plan and requirements, output issue list by Critical/Important/Minor severity, and provide clear verdict on merge readiness. Trigger words: request code review, PR review, merge readiness, production readiness.
Jujutsu (`jj`) is a Git-compatible version control system with a simpler mental model - no staging area, working copy is always a commit, and conflicts don't block operations. Use this skill for version control operations in `jj` repositories (which may be co-located with `git`) or when `jj` is called out specifically.
Set up and configure Git pre-commit hooks for code quality, secrets scanning, and commit message validation. Use when installing git hooks, configuring pre-commit checks, or enforcing code standards.
Review an RWX config generated from a GitHub Actions migration. Compares the source workflow against the generated config to catch semantic gaps, missing steps, and optimization opportunities.
Manage and synchronize multiple Git repositories across workspace-hub. Use for bulk git operations, repository status checks, branch management, and coordinated commits across 26+ repositories.
Discover and apply labels to GitHub PRs and issues using the gh CLI. Use when you need to list available labels, add or remove labels on pull requests or issues, or create new labels for a repository.
Use when analyzing git history and past changes to identify patterns, recurring issues, and lessons learned from infrastructure changes.
Clone, pull, and manage GitHub repositories using SSH authentication. Handles yousufjoyian repos and third-party repos.
Use this agent when you need to understand the historical context and evolution of code changes, trace the origins of specific code patterns, identify key contributors and their expertise areas, or analyze patterns in commit history. This agent excels at archaeological analysis of git repositories to provide insights about code evolution and development patterns. <example>Context: The user wants to understand the history and evolution of recently modified files.\nuser: "I've just refactored the authentication module. Can you analyze the historical context?"\nassistant: "I'll use the git-history-analyzer agent to examine the evolution of the authentication module files."\n<commentary>Since the user wants historical context about code changes, use the git-history-analyzer agent to trace file evolution, identify contributors, and extract patterns from the git history.</commentary></example> <example>Context: The user needs to understand why certain code patterns exist.\nuser: "Why does this payment processing...
Analyzes git commit history and generates structured changelogs categorized by change type. Use when the user asks about recent changes, wants a changelog, or needs to understand what changed in the repository.
Read GitHub repos the RIGHT way - via gitmcp.io instead of raw scraping. Why this beats web search: (1) Semantic search across docs, not just keyword matching, (2) Smart code navigation with accurate file structure - zero hallucinations on repo layout, (3) Proper markdown output optimized for LLMs, not raw HTML/JSON garbage, (4) Aggregates README + /docs + code in one clean interface, (5) Respects rate limits and robots.txt. Stop pasting raw GitHub URLs - use this instead.