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Found 30 Skills
Use this skill when working with CodeRabbit, such as running CodeRabbit reviews, generating and processing automated CodeRabbit comments, or evaluating CodeRabbit suggestions.
AI-powered code review using CodeRabbit. Default code-review skill. Trigger for any explicit review request AND autonomously when the agent thinks a review is needed (code/PR/quality/security).
CodeRabbit CLI local code reviews and .coderabbit.yaml configuration. Run AI reviews on uncommitted/committed changes before pushing or opening a PR, parse --agent findings, iterate fix-and-verify loops within hourly rate limits, and tune repo config for low-noise high-signal reviews. Use when reviewing local changes pre-push/pre-PR, installing or driving the coderabbit/cr CLI, creating or tuning .coderabbit.yaml, or reducing CodeRabbit review noise. Not for PR-side review loops and thread handling (git-pr), commits (git-commit), or CI status (git-ci)
PR and MR workflows for GitHub (gh) and GitLab (glab). Creation, review comment handling, thread resolution, review state queries, merging, cost-aware bot review rounds (GitHub: Copilot, CodeRabbit), and Copilot code review configuration (rulesets, custom instructions, billing). Use when creating PRs/MRs, addressing review feedback, resolving threads, looping bot reviews, checking approvals, querying PR data, configuring Copilot reviews, or configuring gh/glab read-only allowlists. Not for git commits (git-commit), CI/CD status (git-ci), local pre-push CodeRabbit CLI reviews (coderabbit), or general git ops
Run comprehensive PR checks including reviewing CodeRabbit comments, ensuring PR description quality, running pre-commit hooks, tests, and validation. Use on an existing PR to address review feedback.
Optimize CodeRabbit API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for CodeRabbit integrations. Trigger with phrases like "coderabbit performance", "optimize coderabbit", "coderabbit latency", "coderabbit caching", "coderabbit slow", "coderabbit batch".
Auto-fix CodeRabbit review comments - get CodeRabbit review comments from GitHub and fix them interactively or in batch
Execute CodeRabbit primary workflow: Core Workflow A. Use when implementing primary use case, building main features, or core integration tasks. Trigger with phrases like "coderabbit main workflow", "primary task with coderabbit".
Execute CodeRabbit secondary workflow: Core Workflow B. Use when implementing secondary use case, or complementing primary workflow. Trigger with phrases like "coderabbit secondary workflow", "secondary task with coderabbit".
Run CodeRabbit CLI for pre-push AI diff review. Use when asked for CodeRabbit, cr review, or as part of the default dual pre-push workflow with greptile. Max 2-3 runs per change set.
Apply CodeRabbit security best practices for secrets and access control. Use when securing API keys, implementing least privilege access, or auditing CodeRabbit security configuration. Trigger with phrases like "coderabbit security", "coderabbit secrets", "secure coderabbit", "coderabbit API key security".
Loads orchestrate mode — a disciplined delivery loop that enforces BDD specs in specs/, real integration tests (no mocks), PR CI and CodeRabbit babysitting, and mandatory end-user QA via computer-use or CLI dogfooding before anything is considered done. Use when starting any non-trivial implementation task, feature build, or delivery where you want the work driven from spec to proven-shipped state rather than stopping at "tests pass".