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Found 112 Skills
Review code changes on the current branch using checkpoint transcript context to understand developer intent before auditing the diff. Use when the user asks for a code review, wants to review branch changes, or asks to audit recent work before merging.
Validate changesets in openai-agents-js using LLM judgment against git diffs (including uncommitted local changes). Use when packages/ or .changeset/ are modified, or when verifying PR changeset compliance and bump level.
Force a skeptical second pass on your own work. Because 'it should work' has never once been true.
Optional skill. Reconstruct a human-review-preparation file from an existing pull request, merge request, branch diff, or commit range in a repository the user trusts. Use when the user wants retrospective understanding of already-implemented changes, AI-side assessment and recommendations, and an optional provider-specific sharing variant written to a local file when needed.
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.
Remove AI-style code slop from a branch by reviewing diffs, deleting inconsistent defensive noise, and preserving behavior and local style.
Review local git changes from 8 expert perspectives using multi-agent team orchestration. Produces a consolidated report with Critical/Important/Nice-to-have severity levels. Lightweight pre-commit or pre-push quality gate — no PR or branch push required. Use when the user asks to review local changes, check changes before committing, get a team review of working tree changes, or run a pre-commit review. Trigger phrases include "review local", "review my changes", "review local changes", "pre-commit review", "review before commit", "review before push", "team review my changes", "check my changes", "review working tree", "local code review", "review diff", "review my diff".
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.
Analyzes git diff and commit history to write PR title and description based on the project's PR template.
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.
Generate a visual diff review page (ArchitectureGrid for impacted modules + CodeDiff for hunks + Callouts for risks) from a git range, PR URL, or pasted diff. Use whenever the user asks for a PR review, diff summary, change impact analysis, or pastes `git diff` output. Requires the `hyperscribe` skill (renderer engine).
Sweep the current branch for leftovers of an abandoned design after a significant mid-work decision change, and rewrite the affected code, comments, tests, and docs so the result reads as if it had been designed this way from the beginning. Use when the user says "design cleanup", "clean up the old approach", "erase the journey", says a design decision changed and asks to clean up after it, or after a pivot in approach mid-branch. This is a rewrite pass over the code touched by the decision only — not a general refactoring or bug-hunting pass.