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Found 16 Skills
Generate context-aware code review checklists from PR diffs — tailored to language, codebase patterns, and team standards. Identifies what reviewers should focus on. NOT for automated code fixing, test generation, or security auditing.
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability
Comprehensive code review criteria covering correctness, readability, maintainability, security, performance, and testing. Reference when reviewing code changes or preparing code for review.
Structured code review approach covering security, quality, performance, and consistency.
Code review guidelines covering code quality, security, and best practices.
Git branching strategies, conflict resolution, rebase workflows, monorepo patterns, and advanced operations like cherry-pick, bisect, and reflog recovery. Activate on "git", "branching strategy", "merge conflict", "rebase", "cherry-pick", "monorepo git", "git bisect", "git reflog", "squash commits". NOT for GitHub Actions CI/CD (use github-actions-pipeline-builder), GitHub API/webhooks, or PR review processes (use code-review-checklist).
Designs intuitive Python library APIs following principles of simplicity, consistency, and discoverability. Handles API evolution, deprecation, breaking changes, and error handling. Use when designing new library APIs, reviewing existing APIs for improvements, or managing API versioning and deprecations.
Best practices for the Common utilities package in LlamaFarm. Covers HuggingFace Hub integration, GGUF model management, and shared utilities.
Use when reviewing a PR to tractorjuice/arc-kit that adds or extends a community jurisdictional overlay (e.g. au-*, ca-*, uae-*, fr-*, at-*, eu-*, future state-level like au-vic-*) — produces a structured review with blockers, important issues, minor issues, and positive callouts.
Review Go code for language and runtime conventions: concurrency, context usage, error handling, resource management, API stability, type semantics, and testability. Language-only atomic skill; output is a findings list.
Code style and quality rules for Megatron Bridge — ruff configuration, naming conventions, type hints, mypy rules, docstrings, copyright headers, logging, and the code review checklist.
Shared Python best practices for LlamaFarm. Covers patterns, async, typing, testing, error handling, and security.