Content
27%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is comprehensive in scope but suffers from severe verbosity and redundancy - the same information (file paths, scope options, output formats) is repeated across multiple sections. The 10-part agent template is a useful structural guide, but the skill would benefit enormously from splitting reference material into bundle files and eliminating duplicate content. The workflow lacks validation feedback loops for ensuring generated agents meet quality targets.
Suggestions
Reduce redundancy by stating file paths, scope options, and output formats once in a single reference section, then referring back to it - this alone could cut 30-40% of content.
Extract the 10-part template, YAML frontmatter documentation, and quality checklist into separate bundle files (e.g., TEMPLATE.md, FRONTMATTER.md, CHECKLIST.md) to improve progressive disclosure.
Remove the 12-URL documentation links section - Claude can find these itself, and they add token cost without actionable value.
Add explicit validation steps in the workflow: after generation, verify line count is 500-1000, count code blocks >= 10, count URLs >= 10, and loop back to fix if targets aren't met.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~300+ lines with significant redundancy. File paths are repeated 5+ times, scope explanations are duplicated across sections, the documentation links section lists 12 URLs that Claude can find itself, and the quality checklist largely restates the generation requirements. Much content explains concepts Claude already knows (YAML frontmatter, markdown formatting, file creation). | 1 / 3 |
Actionability | Provides a concrete 10-part template structure and clear file path conventions, but the actual agent generation process relies on a vague 'Research official docs' step. The code examples shown are only for file structure/frontmatter, not for the core task of generating agent content. The AskUserQuestion interface is described but not with executable code. | 2 / 3 |
Workflow Clarity | The Implementation Steps section provides a clear sequence for the three modes, and the examples illustrate the interaction flow well. However, there are no validation checkpoints for the generated content quality (e.g., verify line count meets 500-1000 target, verify URL count >= 10). The quality checklist exists but is presented as a static list rather than integrated into the workflow with explicit verify-and-fix loops. | 2 / 3 |
Progressive Disclosure | Everything is in a single monolithic file with no bundle files. The skill references benchmark agents (python-expert.md, react-expert.md) but these aren't provided. The 10-part template, YAML frontmatter documentation, quality checklist, and documentation links could all be split into separate reference files. Content that should be in supporting files is inline, making the skill overwhelming. | 1 / 3 |
Total | 6 / 12 Passed |