Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, actionable routing skill with a clear five-step workflow, an executable recommender command, and clean one-level-deep references to verified bundle files. The only real weakness is redundancy between the Step 3 narration guidance and the Output Format table.
Suggestions
Collapse the Output Format table or fold it into Step 3; the field meanings are already explained inline there, so the table roughly doubles the token cost for the same information.
Trim the opening paragraph ('The interactive on-ramp for this repository...') since it repeats the frontmatter description verbatim in substance.
Consider moving the detailed per-field narration rules for deferred/active manifest_status into references/intent_routing.md to keep the body focused on the decision flow.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and free of beginner-concept padding, but the large Output Format table substantially duplicates the field-by-field narration already specified in Step 3, and the opening paragraph restates the description. | 2 / 3 |
Actionability | Provides a copy-paste-ready executable command with concrete flags (--query, --format, --no-api, --time-budget, --experience) and explicit field-by-field instructions for narrating each JSON output key. | 3 / 3 |
Workflow Clarity | Five steps are clearly sequenced with environment-aware branching (Claude Code vs Web App fallback) and a stated graceful-degradation rule; the task is read-only routing so no destructive-operation validation checkpoint is required. | 3 / 3 |
Progressive Disclosure | SKILL.md is a lean overview pointing one level deep to real, verified files (intent_routing.md, setup_paths.md, recommend.py, build_snapshot.py, metadata_snapshot.json), each clearly signaled in a Resources section. | 3 / 3 |
Total | 11 / 12 Passed |