Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a moderately well-structured research skill that provides a clear process outline and useful output template. However, it leans toward describing what Claude should already know (how to examine repos, what to look for in documentation) rather than adding novel, specific constraints. The workflow lacks validation checkpoints and the actionability could be improved with more concrete, executable examples rather than procedural descriptions.
Suggestions
Remove guidance Claude already knows (e.g., 'Look for: README documentation, Code examples, Architecture patterns') and focus on project-specific constraints like minimum evidence thresholds and output format requirements.
Add an explicit validation checkpoint before presenting findings, e.g., a checklist to verify minimum source count, recency of sources, and evidence quality before generating the final output.
Make the example usage more concrete by showing actual expected output rather than just listing the steps abstractly (e.g., show a filled-in research comparison for the terminal recording example).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient but includes some unnecessary explanation. Steps like 'Handle Blocked Content' with example prompts and the general description of what to look for in GitHub repos (README documentation, code examples) are things Claude already knows. The output format template is useful but slightly verbose. | 2 / 3 |
Actionability | Provides some concrete commands (git clone, mkdir) and a clear output template, but much of the guidance is procedural description rather than executable. The 'Examine GitHub Repositories' and 'Evidence Requirements' sections describe what to do abstractly rather than giving specific, copy-paste-ready workflows. | 2 / 3 |
Workflow Clarity | Steps are numbered and sequenced clearly (search → examine → handle blocks → store → verify evidence), but there are no validation checkpoints or feedback loops. There's no explicit step to verify research quality before presenting findings, and no mechanism to retry or deepen research if initial results are insufficient beyond a vague 'ask for guidance' prompt. | 2 / 3 |
Progressive Disclosure | Content is reasonably structured with clear sections and headers, but everything is inline in a single file. The output format template and example usage could potentially be split out. For a skill of this length (~80 lines of content), the organization is adequate but not exemplary—the example at the end feels tacked on rather than integrated. | 2 / 3 |
Total | 8 / 12 Passed |