Content
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 that provides clear guidance for converting PRDs to prd.json format. Its main strengths are the complete input/output example, explicit anti-patterns, and the validation checklist. Its weaknesses are moderate verbosity (some sections repeat information covered elsewhere) and a monolithic structure that could benefit from splitting detailed reference material into separate files.
Suggestions
Consolidate the anti-patterns section into a more compact table or shorter format — four separate code blocks for wrong patterns is verbose when a brief list with one example would suffice.
Extract the full end-to-end example (Input PRD → Output prd.json) into a separate EXAMPLE.md file and reference it, reducing the main skill's length while keeping the schema template inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly long (~250 lines) with some redundancy. The anti-patterns section, while useful, is verbose with four separate wrong examples. The conversion rules section largely repeats information already covered in the output format and other sections. However, most content is domain-specific knowledge Claude wouldn't inherently know. | 2 / 3 |
Actionability | Highly actionable with a complete JSON schema, a full input-to-output example (PRD markdown → prd.json), explicit anti-patterns with concrete wrong/right examples, and clear conversion rules. The output is copy-paste ready and leaves no ambiguity about the expected format. | 3 / 3 |
Workflow Clarity | The workflow is clearly sequenced: extract quality gates → parse stories → append gates to criteria → set dependencies → output JSON. The checklist at the end serves as a validation checkpoint before saving. The step-by-step process with explicit dependency ordering (schema → backend → UI) and the 'ask user if missing' fallback for quality gates provides good error recovery. | 3 / 3 |
Progressive Disclosure | The content is entirely monolithic in a single file with no references to supporting documents. For a skill of this length (~250 lines), some content like the full example or the anti-patterns section could be split into separate reference files. However, the sections are well-organized with clear headers, making navigation reasonable despite the length. | 2 / 3 |
Total | 10 / 12 Passed |