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Found 127 Skills
Guide for making code reviews. Use this when asked to make code reviews, or ask to use it before committing changes.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyzes correctness, efficiency, scalability, and production readiness of modifications. Use for pull request reviews, commit reviews, security audits of changes, and pre-deployment validation. Supports Django, Flask, FastAPI, pandas, and ML frameworks.
Use when the user asks to perform a code review, review code changes, analyze a diff, or audit code quality. Runs a structured review of git diff output covering security, correctness, performance, maintainability, and style. Produces a markdown report saved as a .md file named after the current branch.
Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.
Generate conventional commit messages automatically. Use when user runs git commit, stages changes, or asks for commit message help. Analyzes git diff to create clear, descriptive conventional commit messages. Triggers on git commit, staged changes, commit message requests.
Performs a structured code review on the current diff or specified files. Checks for correctness, security vulnerabilities, test coverage, code style, and adherence to the project's architecture patterns. Invoked when the user asks for a review, code check, pr review, or quality assessment.
Remove AI-style code slop from a branch by reviewing diffs, deleting inconsistent defensive noise, and preserving behavior and local style.
Automatically generate a structured, high-quality Pull Request (PR) description based on the provided git diff or code changes. Trigger when the user asks to write a PR description, summarize changes, or prepare a commit message/PR summary.
Interactive Code Review: Inspect architecture, code quality, testing, and performance section by section. Can review git diff, specified files, or entire PRs. Trigger words: /code-review, review code, code review, code review
Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages or reviewing staged changes.
Red-team security review for code changes. Use when reviewing pending git changes, branch diffs, or new features for security vulnerabilities, permission gaps, injection risks, and attack vectors. Acts as a pen-tester analyzing code.
Force a skeptical second pass on your own work. Because 'it should work' has never once been true.