Content
42%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill provides a clear sequenced workflow and a concrete output template, but it is padded with redundant framing, lacks verification checkpoints for a batch operation, and inlines content that would benefit from separate reference files.
Suggestions
Trim redundant framing sections ('What This Skill Does' restates the description and 'How to Use' duplicates 'Instructions') to reduce token cost.
Add a verification/feedback step to the workflow, e.g. validate that each lead has a justified fit score and website before emitting it, and re-research any lead missing decision-maker context.
Move the full lead output template and worked examples into a references/ file (e.g. REFERENCES/output-template.md) and link to it from the body to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is noticeably verbose: it restates the description, then stacks 'When to Use', 'What This Skill Does', 'How to Use', 'Instructions', 'Examples', 'Tips', and 'Related Use Cases' with redundant padding Claude does not need. | 2 / 5 |
Actionability | The per-lead output template and markdown format spec are concrete and reusable, but the core research steps ('Search for companies matching the criteria', 'Look for signals of need') are high-level hints without specific methods or tooling. | 3 / 5 |
Workflow Clarity | The seven steps are clearly sequenced, but this batch lead-generation workflow has no validation or verification checkpoints; per the rubric, a batch skill without feedback loops is capped at 3. | 3 / 5 |
Progressive Disclosure | Sections are well-organized, but no bundle files exist and the large output template and examples are inlined rather than offloaded to references, leaving structure that could be better split. | 3 / 5 |
Total | 11 / 20 Passed |