metaevo-ai/meta-context-engineering
Meta Context Engineering via Agentic Skill Evolution
This project helps anyone working with large language models to get more accurate and reliable results, particularly for complex, domain-specific tasks. It takes your raw data and task description, then automatically generates the most effective 'context'—such as prompts, knowledge bases, or decision rules—to guide the LLM. You'll get optimized context as files or code, tailored for your specific inference model.
Use this if you need to significantly improve the performance of your language models for specialized tasks in fields like finance, medicine, or law, and are tired of manually crafting prompts or context that often fall short.
Not ideal if you are working with simple, generic LLM tasks where basic prompting works well, or if you prefer to manually control every aspect of context creation.
Stars
77
Forks
6
Language
Python
License
MIT
Category
Last pushed
Feb 19, 2026
Commits (30d)
0
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