Claude Translator
C+ 71 completed
Other
cli / python · tiny
38
Files
1,513
LOC
1
Frameworks
3
Languages
Pipeline State
completedRun ID
#1541861Phase
doneProgress
0%Started
2026-04-16 21:03:01Finished
2026-04-16 21:03:01LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
24.38Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:23Deduplication group #47298
Member of a group with 2,078 similar repo(s) — canonical #187349 view group →
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AI Prompt
Create a command-line tool in Python that acts as a multi-language plugin description translator for Claude Code. The tool should scan a specified directory (like `~/.claude/`) to find items, determine if they are user skills, plugins, or commands. It needs commands to initialize the target language, discover translatable items, and finally, sync/translate the descriptions. The translation process should use a fallback mechanism: checking for overrides, using a cache, calling an LLM if available, and finally falling back to the original English description, injecting the result into the frontmatter of Markdown files.
python cli command-line translation plugin-management markdown llm-integration
Generated by gemma4:latest
Catalog Information
Create a command-line tool in Python that acts as a multi-language plugin description translator for Claude Code. The tool should scan a specified directory (like ~/.claude/) to find items, determine if they are user skills, plugins, or commands. It needs commands to initialize the target language, discover translatable items, and finally, sync/translate the descriptions. The translation process should use a fallback mechanism: checking for overrides, using a cache, calling an LLM if available
Tags
python cli command-line translation plugin-management markdown llm-integration
Quality Score
C+
71.2/100
Structure
66
Code Quality
100
Documentation
64
Testing
0
Practices
89
Security
100
Dependencies
80
Strengths
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Low average code complexity — well-structured code
- Good security practices — no major issues detected
- Properly licensed project
Weaknesses
- No tests found — high risk of regressions
- No CI/CD configuration — manual testing and deployment
Recommendations
- Add a test suite — start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
Languages
Frameworks
pytest
Symbols
function34
variable29
constant17
class14
method13
protocol1
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