Content
42%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill demonstrates strong structural organization and progressive disclosure, with clear references to supporting files and a logical flow from concepts to frameworks to failure modes. However, it is significantly over-verbose, spending many tokens on explanations of concepts Claude already understands (what NPS is, what support tickets are, why feedback matters) and restating its thesis multiple times. Actionability is moderate—the frameworks are concrete but lack executable templates or example outputs that would make the guidance directly usable.
Suggestions
Cut the introductory paragraphs, the 'What this skill is for' scope section, and the closing section by at least 60%—Claude doesn't need motivation or skill-boundary explanations at this length. Move scope notes to a single bullet list.
Add a concrete example artifact: a sample feedback triage output (e.g., a table showing 5 feedback items with their channel, segment, frequency, intensity, weight, and recommended action) so Claude can produce similar outputs.
Add a validation checkpoint to the synthesis loop—e.g., 'Before presenting synthesis to stakeholders, verify: each pattern is supported by 3+ data points, channel weights are documented, and at least one cross-channel triangulation is included.'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose for an instruction-only skill. The opening paragraphs explain what feedback aggregation is and why it matters—concepts a senior PM (the stated audience) and Claude both already know. Sections like 'What this skill is for' spend significant tokens on scope delineation with other skills, and the closing section restates the entire skill's thesis. The content could be cut by 50%+ without losing actionable guidance. | 1 / 3 |
Actionability | The skill provides concrete frameworks (frequency-intensity matrix, channel-source weighting with a worked example, the 12-consideration checklist, synthesis cadences) that give Claude specific guidance on how to approach feedback aggregation. However, it lacks executable artifacts—no template schemas, no example triage output, no sample synthesis document—making it more descriptive than directly actionable. | 2 / 3 |
Workflow Clarity | The synthesis loop (feedback → triage → periodic synthesis → roadmap input → decisions) and cadences (daily/weekly/monthly/quarterly) provide a clear sequence. However, there are no explicit validation checkpoints or feedback loops for error recovery—e.g., no step to verify that weighting was applied correctly, no checkpoint to confirm synthesis actually informed a decision before proceeding to the next cycle. | 2 / 3 |
Progressive Disclosure | The skill is well-structured with clear sections serving as an overview, and each major topic references a specific file in the references/ directory with descriptive link text. References are one level deep and clearly signaled. The reference files section at the end provides a clean index. Despite no bundle files being provided to verify, the structure itself is exemplary. | 3 / 3 |
Total | 8 / 12 Passed |