skill-research-process
Systematic process for building comprehensive Claude Code skills using parallel research agents. Triggers on "research for skill", "build skill from docs", "create comprehensive skill", or when needing to gather extensive documentation from official sources before skill creation.
89
87%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
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 description is strong in completeness and distinctiveness, with explicit trigger terms and a clear 'when to use' clause. The main weakness is that the 'what' portion could be more specific about the concrete actions performed (e.g., spawning research agents, synthesizing findings, generating SKILL.md files). The trigger terms are well-chosen and natural.
Suggestions
Add more specific concrete actions to the 'what' portion, e.g., 'Spawns parallel research agents to gather documentation, synthesizes findings, and generates structured SKILL.md files'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain ('building comprehensive Claude Code skills') and mentions 'parallel research agents' and 'gather extensive documentation from official sources', but doesn't list multiple concrete actions beyond the general process description. It's more process-oriented than action-specific. | 2 / 3 |
Completeness | Clearly answers both 'what' (systematic process for building comprehensive Claude Code skills using parallel research agents) and 'when' (explicit triggers listed with 'Triggers on...' clause and a conditional 'when needing to gather extensive documentation'). | 3 / 3 |
Trigger Term Quality | Includes explicit trigger phrases like 'research for skill', 'build skill from docs', 'create comprehensive skill' which are natural terms a user would say. Also mentions 'gather extensive documentation from official sources' as a contextual trigger. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche combining skill creation, parallel research agents, and documentation gathering. The trigger terms are distinctive and unlikely to conflict with general coding or documentation skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill with excellent workflow clarity featuring three explicit quality gates with checklists, strong progressive disclosure through external references, and highly actionable guidance with concrete commands and templates. The main weakness is moderate verbosity—the success checklist duplicates quality gate content, and the Agent Team Alternative section could be condensed to a brief reference pointer rather than inline criteria.
Suggestions
Consolidate the Success Checklist with the three Quality Gates to eliminate redundancy—either remove the checklist or make it a brief summary pointing back to the gates.
Condense the Agent Team Alternative section to 2-3 sentences with a reference link, since the detailed criteria are better suited for the referenced agent-teams.md file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some redundancy—the success checklist largely repeats the quality gates, and the Agent Team Alternative section adds significant length for what could be a brief reference link. Some tables and principles restate what's already covered in the workflow. | 2 / 3 |
Actionability | Provides concrete, executable commands (init_skill.py, package_skill.py), specific agent launch syntax, citation format templates, and clear MCP tool selection guidance. The steps are specific enough to follow directly. | 3 / 3 |
Workflow Clarity | Excellent multi-stage workflow with three explicit quality gates, each containing verification checklists. Error recovery paths are clearly defined with specific fallback strategies. The ASCII diagram at the top provides a clear overview of the entire process with gate checkpoints. | 3 / 3 |
Progressive Disclosure | SKILL.md serves as a clear overview with well-signaled one-level-deep references to agent-prompts.md, mcp-tools.md, and gaps-analysis.md. Detailed agent prompt templates and MCP tool details are appropriately externalized while the main file stays navigable. | 3 / 3 |
Total | 11 / 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 | |
- Repository
- Jamie-BitFlight/claude_skills
- Commit
11ec483
- Reviewed
Table of Contents
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