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 well-structured, highly actionable skill with clear workflow sequencing and concrete JSON examples for every step. Its main weakness is moderate verbosity — the 'Core Concepts' section explains things Claude could infer, and the document is long enough that progressive disclosure into supporting files would improve token efficiency. The workflow clarity is strong with explicit verification steps and good handling of edge cases like mid-experiment design changes and inconclusive results.
Suggestions
Trim or remove the 'What Are Experiments?' section — Claude understands these concepts from the API parameters and tool descriptions; keep only non-obvious details like 'fallthrough rule id is the string "fallthrough"'.
Consider extracting the optional fields reference tables and edge cases into a separate REFERENCE.md to reduce the main skill's token footprint.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill includes some unnecessary explanatory content (e.g., 'What Are Experiments?' section explains concepts Claude can infer from the API parameters), and the introductory paragraph restates the description. However, the workflow sections are reasonably efficient with concrete JSON examples. | 2 / 3 |
Actionability | The skill provides fully executable JSON payloads for every step (create, start, evolve, stop), specific field names, concrete examples with realistic values, and clear parameter guidance. The edge cases table and 'What NOT to Do' section add practical, specific constraints. | 3 / 3 |
Workflow Clarity | The lifecycle is clearly sequenced (Steps 1-7) with explicit validation in Step 5 (verify running status, check treatments/metrics). The mid-experiment evolution path (Step 6) includes a clear decision tree between light edits and real design changes. The stop step includes the non-obvious requirement of declaring a winner and how to handle inconclusive results. | 3 / 3 |
Progressive Disclosure | The content is a single monolithic file with no references to supporting documents, which is acceptable given no bundle files exist. However, at ~200 lines with detailed JSON examples and tables, some content (e.g., the full create-experiment payload, optional fields reference, edge cases) could benefit from being split into separate files for better organization. | 2 / 3 |
Total | 10 / 12 Passed |