spawn
Generate PhD-level expert agent prompts for Claude Code. Creates comprehensive 500-1000 line agents with detailed patterns, code examples, and best practices. Triggers on: spawn agent, create agent, generate expert, new agent, agent genesis.
90
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Discovery
100%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 well-crafted skill description that excels across all dimensions. It clearly specifies what the skill produces (comprehensive agent prompts with specific line counts and components), explicitly lists trigger terms users would naturally use, and occupies a distinct niche that won't conflict with other skills. The description is concise yet comprehensive.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Generate PhD-level expert agent prompts', 'Creates comprehensive 500-1000 line agents', 'detailed patterns, code examples, and best practices'. These are concrete, measurable outputs. | 3 / 3 |
Completeness | Clearly answers both what ('Generate PhD-level expert agent prompts... Creates comprehensive 500-1000 line agents with detailed patterns, code examples, and best practices') and when ('Triggers on: spawn agent, create agent, generate expert, new agent, agent genesis'). | 3 / 3 |
Trigger Term Quality | Explicitly lists natural trigger terms users would say: 'spawn agent, create agent, generate expert, new agent, agent genesis'. These cover common variations of how users might request this functionality. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche focused on 'agent prompts for Claude Code' with distinct triggers like 'agent genesis' and 'spawn agent'. Unlikely to conflict with general code generation or documentation skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%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, highly actionable skill for generating expert agent prompts. Its strengths are concrete examples, clear workflows, and comprehensive quality checklists. Weaknesses include some redundancy (repeated file paths, duplicate documentation links) and a monolithic structure that could benefit from splitting detailed templates into separate reference files.
Suggestions
Remove duplicate documentation links section (appears in both 'Claude Code Agent Documentation' and 'Post-Generation')
Consider extracting the detailed 10-part template structure into a separate TEMPLATE.md reference file to reduce main skill length
Consolidate the repeated file path explanations (project vs global scope) into a single reference table instead of repeating in multiple sections
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some redundancy (e.g., file paths repeated multiple times, documentation links listed twice). The 10-part template structure is valuable but could be more condensed. Some sections like 'Post-Generation' repeat information already covered. | 2 / 3 |
Actionability | Highly actionable with concrete file paths, YAML frontmatter examples, specific line count targets (500-1000 lines), complete workflow examples, and explicit implementation steps. The examples show exact user/agent interactions with specific outputs. | 3 / 3 |
Workflow Clarity | Clear multi-step workflows for all three modes (Single, Batch, Architecture Analysis) with numbered implementation steps. Includes explicit validation via Quality Checklist before output. The 6-step implementation process is well-sequenced with clear decision points. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections, but everything is inline in one large document. References to benchmark agents (python-expert.md, react-expert.md) are mentioned but the skill itself could benefit from splitting the 10-part template into a separate reference file. Documentation links are helpful but listed twice. | 2 / 3 |
Total | 10 / 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 | |
- Reviewed
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