Content
63%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill functions well as a routing and decision document for Claude API development, with excellent progressive disclosure and clear navigation to language-specific sub-files. Its main weaknesses are the lack of any executable code examples (all deferred to sub-files) and moderate verbosity in sections like the agent decision criteria and language detection that could be more concise. The model table, defaults, and common pitfalls sections provide high-value, non-obvious information that justifies their inclusion.
Suggestions
Add at least one minimal executable code example (e.g., a basic Python API call) so the skill is actionable on its own without requiring sub-file reads for simple tasks.
Trim the 'Should I Build an Agent?' section — the four criteria (complexity, value, viability, cost of error) are general software engineering advice Claude already knows; a single sentence like 'Only use agents when the task is genuinely multi-step and open-ended' would suffice.
Condense the language detection section — Claude can infer language from file extensions without being told that `.py` means Python; focus on the non-obvious mappings (Kotlin→Java SDK, JS→TypeScript folder) and the ambiguity-handling steps.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is quite long (~300 lines) and includes some content Claude likely already knows (e.g., explaining what classification/summarization is, the decision tree for agents vs workflows). The model table, language detection table, and feature support matrix are useful reference data, but sections like 'Should I Build an Agent?' with its four criteria feel like general advice Claude doesn't need. The 'Defaults' and 'Common Pitfalls' sections earn their tokens, but overall the skill could be tightened significantly. | 3 / 5 |
Actionability | The skill provides concrete model IDs, specific parameter names (e.g., `thinking: {type: "adaptive"}`), and clear file paths to read. However, it contains zero executable code examples — no SDK installation commands, no API call snippets, no copy-paste ready code. All actual code is deferred to sub-files. The guidance is specific but not executable on its own; it's more of a routing/decision document than an actionable skill. | 3 / 5 |
Workflow Clarity | The language detection workflow is well-sequenced with clear steps (1-5) and fallback handling. The decision tree for choosing API surface is clear. The reading guide provides clear task-to-file mappings. However, there are no explicit validation checkpoints — e.g., no 'verify the SDK installed correctly' or 'test your first API call before proceeding' steps. Since this isn't a destructive/batch operation skill, the missing validation is a minor gap rather than a cap. | 4 / 5 |
Progressive Disclosure | Excellent progressive disclosure structure. The SKILL.md serves as a clear routing document that directs to language-specific folders (`{lang}/claude-api/README.md`, `{lang}/agent-sdk/README.md`) and shared resources (`shared/tool-use-concepts.md`, `shared/error-codes.md`). References are one level deep, clearly signaled with file paths, and organized by task type in the 'Quick Task Reference' and 'Full File Reference' sections. The reading guide makes navigation intuitive. | 5 / 5 |
Total | 15 / 20 Passed |