Content
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is essentially a prompt template wrapper with explanatory padding. It over-explains the purpose and context (which Claude already understands), lacks concrete examples of input/output to anchor quality, and provides no validation mechanism for verifying synthesis accuracy. The structured output format (themes, pain points, etc.) is the strongest element but would benefit from a concrete example showing what good output looks like.
Suggestions
Remove the introductory paragraph and 'Tips' section — Claude doesn't need to be told what synthesis is or that messy input is acceptable. This would significantly improve conciseness.
Add a concrete example showing sample raw interview notes as input and the expected synthesized output, so Claude has a quality anchor to work from.
Add a validation step: after generating the synthesis, verify each theme is supported by at least 2 distinct data points, and flag any single-source themes explicitly.
Remove the 'You are an experienced product manager' framing from the prompt template — Claude doesn't need role-play instructions in a skill file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The opening paragraph explains what synthesis is and why you'd do it — Claude already knows this. The 'Tips' section explains obvious things like 'messy is fine.' The prompt template itself contains unnecessary framing ('You are an experienced product manager') and verbose instructions that Claude inherently understands. Significant token waste throughout. | 1 / 3 |
Actionability | The prompt template provides a concrete output structure (Key Themes, Pain Points, etc.) which gives some actionable guidance. However, it's essentially a prompt template rather than executable steps — there's no example input/output showing what a good synthesis looks like, no concrete criteria for ranking severity, and no sample output format to anchor quality. | 2 / 3 |
Workflow Clarity | The numbered output sections (Key Themes, Pain Points, etc.) provide a clear structure for the synthesis output. However, there's no validation step — no guidance on how to verify the synthesis is accurate, no feedback loop for checking themes against raw data, and no process for handling edge cases like contradictory data or very thin datasets. | 2 / 3 |
Progressive Disclosure | The content is organized into sections (Prompt Template, Tips) which provides some structure. However, for a skill with no bundle files, the content is somewhat monolithic — the prompt template is long and inline. An example input/output pair could be separated or the tips could be integrated more efficiently. Not terrible but not optimally organized. | 2 / 3 |
Total | 7 / 12 Passed |