Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is clear and well-structured with a useful output template and example, but it stops short of giving executable instructions for each transformation step and lacks validation checkpoints. Its external references also point to non-existent bundle files.
Suggestions
Replace the DEDUPE/EXTRACT/STRUCTURE/COMPRESS labels with concrete instructions for each step (what to remove, how to identify constraints, how to structure, how to verify ~30% compression while keeping intent).
Add a verification checkpoint after compression (e.g., 'Confirm all technical requirements and constraints are retained before sending the refined prompt').
Either create the referenced guide/ai-ecosystem.md and examples/before-after.md files or remove the See Also links so references are not dangling.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly lean and free of concepts Claude already knows, but the "Compression Metrics" table restates the COMPRESS pipeline step and the intro repeats the frontmatter description, so it could be tightened a bit further. | 2 / 3 |
Actionability | It gives a reusable output-format template and a worked example, but the actual transformation steps (DEDUPE/EXTRACT/STRUCTURE/COMPRESS) are high-level labels rather than concrete, executable instructions for how to perform each step. | 2 / 3 |
Workflow Clarity | The pipeline is clearly numbered 1→4, but there are no validation or verification checkpoints (e.g., confirm intent is preserved before sending), which keeps it at 2 rather than 3. | 2 / 3 |
Progressive Disclosure | Sections are well organized, but the "See Also" links to guide/ai-ecosystem.md and examples/before-after.md point to files that are not present in the bundle, and the inline metrics/format content could arguably live in a separate reference. | 2 / 3 |
Total | 8 / 12 Passed |