Multi-repository analysis and research specialist
32
Quality
14%
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 ./skills/researcher/SKILL.mdQuality
Discovery
7%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 description is too vague to be useful for skill selection. It fails to specify concrete actions (what kind of analysis? what research outputs?), lacks natural trigger terms users would say, and provides no guidance on when Claude should select this skill. The only distinguishing element is 'multi-repository' but even this isn't paired with actionable context.
Suggestions
Add specific concrete actions like 'Compare code patterns across repositories, identify shared dependencies, analyze cross-repo API usage, find duplicate implementations'
Include a 'Use when...' clause with natural triggers like 'Use when the user asks about multiple repos, wants to compare codebases, needs cross-repository search, or mentions analyzing several projects together'
Add natural keywords users would say: 'multiple repos', 'compare repositories', 'cross-repo', 'codebase comparison', 'monorepo analysis'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description uses vague language ('analysis and research specialist') without listing any concrete actions. It doesn't specify what kind of analysis, what research activities, or what outputs are produced. | 1 / 3 |
Completeness | The description only vaguely hints at 'what' (analysis/research across repos) and completely lacks any 'when' guidance or 'Use when...' clause. Both components are very weak. | 1 / 3 |
Trigger Term Quality | The only potentially useful trigger term is 'multi-repository' which is somewhat technical. Missing natural terms users would say like 'compare repos', 'cross-repo search', 'multiple codebases', or specific actions. | 1 / 3 |
Distinctiveness Conflict Risk | 'Multi-repository' provides some distinctiveness from single-repo skills, but 'analysis and research' is generic enough to potentially conflict with code analysis, documentation, or general research skills. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
22%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads more like a portfolio of example research outputs than actionable instructions for Claude. It shows what research reports might look like but fails to provide concrete guidance on how to actually conduct multi-repository analysis, what tools or APIs to use, or how to validate research findings. The persona framing and inspirational quote add no value.
Suggestions
Replace example outputs with executable instructions: specify actual GitHub API calls, search queries, or MCP tools Claude should use to perform repository analysis
Add a concrete workflow with validation steps: e.g., '1. Search using X tool, 2. Filter results by Y criteria, 3. Validate findings by Z method'
Remove the persona introduction and closing quote - they consume tokens without adding actionable value
Include actual code snippets or commands rather than placeholders like '[Code snippet with best practices]'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill contains some unnecessary framing (persona introduction, closing quote) and the examples are illustrative rather than instructional. However, it's not excessively verbose and the content is reasonably organized. | 2 / 3 |
Actionability | The content describes what research outputs look like rather than providing executable guidance. There are no actual commands, code snippets, or concrete steps Claude can follow - just example report formats and placeholder text like '[Code snippet with best practices]'. | 1 / 3 |
Workflow Clarity | While there's a brief 'Search Strategy' list, there are no clear multi-step workflows with validation checkpoints. The skill shows example outputs but doesn't explain how to actually perform the research, what tools to use, or how to validate findings. | 1 / 3 |
Progressive Disclosure | The content is organized into sections (Research Capabilities, Multi-Repo Analysis, etc.) but everything is inline with no references to external files. For a research skill that could benefit from detailed methodology guides, this is a missed opportunity. | 2 / 3 |
Total | 6 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
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