Content
32%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 reads more like a general reference guide or cheat sheet on i18n concepts than an actionable skill for Claude. It spends tokens on concepts Claude already knows (definitions, when to use i18n, basic library usage) while lacking a concrete workflow for the stated purpose of detecting hardcoded strings and managing translations. The referenced checker script is not provided, undermining the skill's primary actionable component.
Suggestions
Remove the terminology table and 'When to Use i18n' decision table — Claude already knows these concepts. Use the saved tokens for a concrete workflow.
Provide the `scripts/i18n_checker.py` script in the bundle, or inline its logic, so the skill's primary action is actually executable.
Add a clear multi-step workflow: run checker → review findings → fix hardcoded strings → re-run checker to validate, with explicit validation checkpoints.
Replace generic best-practices lists with project-specific patterns showing exact translation key naming conventions, file structure rules, and ICU message format examples that go beyond what Claude already knows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill explains basic concepts Claude already knows (what i18n, L10n, locale, and RTL mean), includes a 'When to Use i18n' decision table that adds little value for Claude, and has several sections that are general knowledge rather than actionable project-specific guidance. The terminology table and project-type table are padding. | 2 / 5 |
Actionability | Code examples for React, Next.js, Python, and CSS are concrete and executable, but they are basic snippets that Claude already knows. The referenced script `scripts/i18n_checker.py` is mentioned but not provided in the bundle, making it non-actionable. The checklist and best practices are helpful but generic rather than specific enough to be fully executable guidance. | 3 / 5 |
Workflow Clarity | There is no clear multi-step workflow or sequenced process. The checklist at the end is a static list without validation steps or feedback loops. For a skill involving detecting hardcoded strings and managing translations (which could be a batch/destructive operation), there's no workflow showing how to run the checker, review results, fix issues, and re-validate. | 2 / 5 |
Progressive Disclosure | The skill references `scripts/i18n_checker.py` but no bundle files are provided, making the reference unverifiable and non-functional. All content is inlined in a single file with no references to supporting documentation. The content is a monolithic collection of tables and snippets that could benefit from better organization into separate reference files. | 2 / 5 |
Total | 9 / 20 Passed |