coderabbit-sdk-patterns
Apply production-ready CodeRabbit automation patterns using GitHub API and PR comments. Use when building automation around CodeRabbit reviews, processing review feedback programmatically, or integrating CodeRabbit into custom workflows. Trigger with phrases like "coderabbit automation", "coderabbit API patterns", "automate coderabbit", "coderabbit github api", "process coderabbit reviews".
80
77%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/saas-packs/coderabbit-pack/skills/coderabbit-sdk-patterns/SKILL.mdQuality
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid description with excellent completeness and distinctiveness due to the niche CodeRabbit focus. It includes explicit 'Use when' guidance and trigger phrases, which are strong. The main weakness is that the specific capabilities could be more concrete—listing actual actions like parsing comments, auto-resolving suggestions, or triggering re-reviews would strengthen specificity.
Suggestions
List more concrete actions beyond 'processing review feedback programmatically'—e.g., 'parse PR review comments, auto-resolve suggestions, trigger re-reviews, extract review summaries'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description names the domain (CodeRabbit automation with GitHub API and PR comments) and some actions (processing review feedback, integrating into workflows), but doesn't list multiple concrete specific actions like 'parse review comments', 'auto-resolve suggestions', 'trigger re-reviews', etc. | 2 / 3 |
Completeness | Clearly answers both 'what' (apply production-ready CodeRabbit automation patterns using GitHub API and PR comments) and 'when' (explicit 'Use when' clause covering building automation, processing feedback, integrating into workflows, plus explicit trigger phrases). | 3 / 3 |
Trigger Term Quality | Includes a dedicated trigger phrase list with natural variations users would say: 'coderabbit automation', 'coderabbit API patterns', 'automate coderabbit', 'coderabbit github api', 'process coderabbit reviews'. These cover multiple natural phrasings well. | 3 / 3 |
Distinctiveness Conflict Risk | CodeRabbit is a very specific tool, and the description clearly scopes to CodeRabbit + GitHub API automation patterns. This is unlikely to conflict with generic GitHub, code review, or other CI/CD skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides highly actionable, executable code patterns for automating around CodeRabbit reviews via the GitHub API. Its main weaknesses are the lack of validation checkpoints between steps (especially important for CI gate configuration) and the length of inline code that could benefit from being split into referenced files. The content is mostly efficient but includes some unnecessary explanatory text.
Suggestions
Add explicit validation checkpoints between steps, e.g., 'Verify the review object is non-null before extracting comments' and 'Test the GitHub Actions workflow on a draft PR before enforcing as a required check'.
Move the dashboard bash script and GitHub Actions workflow into separate referenced files (e.g., `DASHBOARD.md`, `CI-GATE.md`) to keep the main skill as a concise overview with links.
Trim the overview paragraph—Claude doesn't need to be told what CodeRabbit is or that it uses `.coderabbit.yaml`; jump straight to the automation patterns.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The overview section explaining what CodeRabbit is and how it works is somewhat unnecessary context. The code examples are mostly lean, but the dashboard bash script is verbose for what it demonstrates, and some inline comments explain obvious things. The error handling table and output section add useful density though. | 2 / 3 |
Actionability | All code examples are fully executable TypeScript, Bash, and YAML with complete function signatures, proper imports, and real API calls. The GitHub Actions workflow is copy-paste ready, and the command list provides concrete strings to use. | 3 / 3 |
Workflow Clarity | The steps are clearly numbered and sequenced, but there are no validation checkpoints between steps. For automation involving GitHub API calls and CI gates (which can have destructive effects like blocking merges), there should be explicit verification steps—e.g., confirming the review was fetched correctly before processing, or testing the gate workflow before enforcing it. | 2 / 3 |
Progressive Disclosure | References to external resources and next steps are present and one-level deep, which is good. However, the skill is quite long with substantial inline code that could be split into referenced files. The dashboard script and GitHub Actions workflow could each be separate referenced files to keep the main skill leaner. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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