metaevo-ai/meta-context-engineering

Meta Context Engineering via Agentic Skill Evolution

40
/ 100
Emerging

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.

LLM-optimization prompt-engineering AI-application-development context-management agentic-AI
No Package No Dependents
Maintenance 10 / 25
Adoption 9 / 25
Maturity 11 / 25
Community 10 / 25

How are scores calculated?

Stars

77

Forks

6

Language

Python

License

MIT

Last pushed

Feb 19, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/agents/metaevo-ai/meta-context-engineering"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.