Content
71%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.
A highly actionable, well-structured playbook rich in specific domain data, weakened mainly by length/repetition and a total absence of progressive disclosure to separate reference files. The lowest dimensions are conciseness and progressive disclosure.
Suggestions
Move the persona framing ('You are an expert...') and remove overlap between Before Starting, Questions to Ask, and Quick Reference — keep each fact in one place to cut tokens.
Split the bulky tool-stack table (Section 2) and AI agent definitions (Section 5) into reference files (e.g. STACK.md, AGENTS.md) and link to them from a leaner SKILL.md overview.
Add an explicit validate/retry checkpoint to the outbound workflow (e.g. review a sample of personalized emails before the batch sends) to lift workflow_clarity above 4.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense with non-obvious domain data (tool costs, MRR thresholds), but the 'You are an expert...' persona opening and repetition between Quick Reference, Questions to Ask, and the Before Starting section could be tightened. | 3 / 5 |
Actionability | It provides concrete, executable guidance throughout — named tools with monthly costs, specific MRR stage thresholds, a five-step sales script, deployment-priority ordering, and checklists with quantified targets. | 5 / 5 |
Workflow Clarity | Multi-step processes are clearly sequenced (QUALIFY→DISCOVER→DEMO→CLOSE→ONBOARD, revenue-stage progression with MRR gates, agent deploy order) with most checkpoints present, though validation feedback loops for batch outbound are implicit rather than explicit. | 4 / 5 |
Progressive Disclosure | The ~450-line file is well-sectioned with headers but is entirely monolithic — no external reference files exist and content like the tool-stack tables and agent definitions that could live one level deep is inlined. | 3 / 5 |
Total | 15 / 20 Passed |