Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is a tight, well-structured instruction-only workflow: lean prose, concrete checklists and a structure template, a clearly sequenced build process with explicit QA validation, and appropriately scoped one-level references. It is a strong example of an analytical-report skill body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it never explains concepts Claude already knows and every section earns its place (e.g. the React/Recharts guardrail and the QA checklist are load-bearing), matching the 'lean and efficient; every token earns its place' anchor. | 3 / 3 |
Actionability | Although instruction-only with no code, the guidance is concrete and specific: an 8-step build list that names exactly what to keep explicit ('metric definitions, grain, time range, filters, units, exclusions, and source freshness'), a copy-paste markdown structure template, and a detailed QA checklist — meeting the instruction-only 'concrete, specific guidance' bar. | 3 / 3 |
Workflow Clarity | A clearly sequenced 8-step build process is followed by a dedicated 'QA and handoff' section with explicit validation checkpoints ('Recalculate headline values', 'Check that every claim is supported') and fix actions for found issues, matching 'clear sequence with explicit validation steps' and a feedback loop. | 3 / 3 |
Progressive Disclosure | Content is well-organized into clear sections and the only external pointer is a clearly signaled one-level reference ('Read ../visualize-data/SKILL.md when creating charts'); for a sub-60-line skill with no needed bundle, the simple-skills note allows a top score on well-organized sections alone. | 3 / 3 |
Total | 12 / 12 Passed |