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Provides repository overview and guidelines for AI tools: - Repository architecture and structure - Reference to CONTRIBUTING.md for PR review criteria - Key curation considerations This document enables AI assistants to understand the project context and apply consistent review standards. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
33 lines
1.1 KiB
Markdown
33 lines
1.1 KiB
Markdown
# CLAUDE.md
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## Repository Overview
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This is the awesome-python repository - a curated list of Python frameworks, libraries, software and resources. The repository serves as a comprehensive directory about Python ecosystem.
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## PR Review Guidelines
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**For all PR review tasks, refer to [CONTRIBUTING.md](CONTRIBUTING.md)** which contains:
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- Acceptance criteria (Industry Standard, Rising Star, Hidden Gem)
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- Quality requirements
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- Automatic rejection criteria
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- Entry format reference
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- PR description template
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## Architecture & Structure
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The repository follows a single-file architecture:
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- **README.md**: All content in hierarchical structure (categories, subcategories, entries)
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- **CONTRIBUTING.md**: Submission guidelines and review criteria
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- **sort.py**: Script to enforce alphabetical ordering
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Entry format: `* [project-name](url) - Concise description ending with period.`
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## Key Considerations
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- This is a curated list, not a code project
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- Quality over quantity - only "awesome" projects
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- Alphabetical ordering within categories is mandatory
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- README.md is the source of truth for all content
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