modernize-scientific-stack
Guidance for modernizing legacy Python 2 scientific computing code to Python 3. This skill should be used when tasks involve converting outdated scientific Python scripts (using deprecated libraries like ConfigParser, cPickle, urllib2, or Python 2 syntax) to modern Python 3 equivalents with contemporary scientific stack (NumPy, pandas, scipy, matplotlib). Applies to data processing, analysis pipelines, and scientific computation modernization tasks.
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Installation for Agentic Skill
View all platforms →skilz install letta-ai/skills/modernize-scientific-stackskilz install letta-ai/skills/modernize-scientific-stack --agent opencodeskilz install letta-ai/skills/modernize-scientific-stack --agent codexskilz install letta-ai/skills/modernize-scientific-stack --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/letta-ai/skillscp -r skills/ai/benchmarks/letta/terminal-bench-2/trajectory-only/modernize-scientific-stack ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- skills
- Stars
- 13
- Forks
- 1
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- python
- Market Score
- 21
Browse Category
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