Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-structured skill that provides a clear 6-step workflow with validation checkpoints, concrete output formats, and appropriate progressive disclosure. Its main weakness is moderate verbosity — some instructions describe processes Claude already understands (PII stripping, deduplication, sentiment labeling), which could be condensed. Overall, it's highly actionable and would guide Claude effectively through feedback synthesis tasks.
Suggestions
Condense Step 2 (Clean & Normalise) — Claude already knows how to deduplicate, strip PII, and assign IDs; reduce to a brief checklist rather than numbered sub-steps with explanations.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is well-structured and mostly efficient, but some sections are somewhat verbose for Claude's capabilities — e.g., the detailed explanation of how to strip PII, standardize sentiment labels, and assign IDs are things Claude already knows how to do. The processing guidelines section adds useful constraints but could be tighter. | 2 / 3 |
Actionability | Each step provides concrete, specific instructions with exact table formats, scoring formulas (Weighted Priority Score = High×3 + Medium×2 + Low×1 / item count), specific theme taxonomies, and a fully structured insight block template. The output format is copy-paste ready and leaves no ambiguity about what to produce. | 3 / 3 |
Workflow Clarity | The 6-step workflow is clearly sequenced with explicit validation checkpoints at Steps 1, 2, and 3 (warn on small samples, flag duplicate rates, confirm taxonomy before bulk analysis). Feedback loops are present — e.g., asking the user to confirm taxonomy before proceeding, and the iterative mode guideline for re-running Steps 3–6 on combined datasets. | 3 / 3 |
Progressive Disclosure | The skill provides a clear overview workflow inline while appropriately deferring the full report template to REPORT_TEMPLATE.md and the worked example to EXAMPLES.md. References are one level deep and clearly signaled with descriptive context about what each file contains. | 3 / 3 |
Total | 11 / 12 Passed |