Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid decision-making skill with excellent actionability through concrete templates and worked examples. The main weaknesses are minor verbosity (quotes section adds little value for Claude) and missing guidance on handling conflicting framework outputs or iterating on probability estimates.
Suggestions
Remove the 'Key Quotes' section - Claude doesn't need motivational quotes to apply frameworks
Add guidance for when frameworks conflict (e.g., high EV but high regret, or reversible but negative EV)
Include a validation step: 'Sanity check your probability estimates - are they based on data or intuition?'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some unnecessary elements like the quotes section and could tighten the regret minimization explanation. The expected value formula and example are well-presented without over-explanation. | 2 / 3 |
Actionability | Provides concrete, copy-paste ready templates with specific examples including actual numbers. The decision matrix template is immediately usable with clear placeholders and the EV calculation example shows exactly how to apply the framework. | 3 / 3 |
Workflow Clarity | The decision checklist provides a sequence but lacks explicit validation checkpoints or feedback loops. There's no guidance on what to do if the analysis reveals conflicting signals between frameworks, or how to iterate if initial estimates prove wrong. | 2 / 3 |
Progressive Disclosure | For a skill of this size (~80 lines), the content is well-organized with clear sections: frameworks, templates, quick reference. No external references needed and the structure allows easy navigation from concepts to actionable templates. | 3 / 3 |
Total | 10 / 12 Passed |