Content
77%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, highly actionable skill with excellent workflow clarity and validation checkpoints across all four research workflows. Its main weakness is length — the four complete workflows with full output templates make it a substantial document that could benefit from progressive disclosure via external references. The content is well-structured and avoids explaining things Claude already knows, though some cross-workflow redundancy could be reduced.
Suggestions
Consider moving the detailed output templates to a separate TEMPLATES.md file and referencing them from the main skill, keeping only a brief description of expected output format inline.
Consolidate the repeated validation checkpoint pattern into a single 'Validation Standards' section referenced by each workflow, reducing redundancy across the four workflows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably efficient but includes some redundancy across the four workflows (repeated validation checkpoint patterns, similar output template structures). The output templates are valuable but add length; some sections like 'Consumer & Segment Insights' could be tightened. It doesn't explain concepts Claude already knows, which is good, but the overall length (~200+ lines) could be trimmed. | 2 / 3 |
Actionability | Each workflow provides concrete, specific steps with clear triggers, numbered procedures, specific tools to use (WebSearch, WebFetch, G2/Capterra), exact output templates with table structures, and precise thresholds (e.g., 'differ by more than 2×', 'at least 2 independent sources'). The guidance is highly specific and directly executable. | 3 / 3 |
Workflow Clarity | All four workflows have clearly sequenced steps with explicit validation checkpoints (marked in bold). Each includes specific criteria for when validation passes or fails (e.g., source count thresholds, discrepancy flags in market sizing). The signal strength classification system in Trend Identification provides a clear decision framework. | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear section headers and workflow separation, but it's a monolithic file with no references to external files for detailed guidance. The output templates, while useful, make the file quite long. The Research Quality Standards section at the end is a good organizational choice, but the four full workflows with templates could benefit from being split into referenced files. | 2 / 3 |
Total | 10 / 12 Passed |