Content
62%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 skill with a strong workflow that follows the audit-fix-validate pattern with clear feedback loops. Its main weaknesses are the lack of executable code examples for core setup tasks (config files, provider wiring, locale file templates) and some verbosity in sections that describe concepts Claude already understands. The referenced audit script is not provided in the bundle, reducing the actionability of the audit steps.
Suggestions
Add a concrete, executable code example for i18n setup (e.g., a complete react-i18next config file and provider wiring snippet) to make step 2 actionable rather than descriptive.
Provide the referenced `scripts/i18n_audit.py` as a bundle file, or remove the reference and replace with an inline validation approach.
Include a sample locale file template (en-US.json / zh-CN.json) showing the expected key structure, plural forms, and placeholder conventions.
Trim or consolidate 'Core Capabilities', 'Architecture Guidance', 'Failure Modes', and 'Performance Notes' — much of this is general knowledge Claude already has; keep only project-specific conventions.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some sections that over-explain things Claude already knows (e.g., 'Core Capabilities' listing generic concepts, 'Architecture Guidance' covering basics like namespace structure). Some sections like 'Failure Modes' and 'Performance Notes' add marginal value. The 'Scope Inputs' section is useful but could be tighter. | 2 / 3 |
Actionability | The skill provides some concrete commands (ripgrep patterns, json validation, audit script invocation) but lacks executable code examples for the core setup tasks (no actual i18n config file example, no provider wiring code, no locale file template). The setup steps in section 2 are descriptive rather than executable. The referenced `scripts/i18n_audit.py` is mentioned but not provided in the bundle. | 2 / 3 |
Workflow Clarity | The 8-step workflow is clearly sequenced with an explicit audit-fix-validate loop. Step 8 re-runs the audit until issues are zero, providing a clear feedback loop. Validation checkpoints are explicit (JSON validation, re-running audit, updating tests). The workflow handles the destructive operation of replacing strings with appropriate verification steps. | 3 / 3 |
Progressive Disclosure | The skill references `scripts/i18n_audit.py` but no bundle files are provided, so the reference is unverifiable. The content is somewhat monolithic — sections like 'Architecture Guidance', 'Failure Modes', 'Performance Notes', and 'Validation Checklist' could be split into separate reference files. However, the overall organization with clear section headers is reasonable for the content volume. | 2 / 3 |
Total | 9 / 12 Passed |