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Idea: Per-model prompt library

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Active
Tech stack
python
Domain
ai

Research direction

The issue names no files, tests, or entry points. First clarify which models, prompt format, storage location, and evaluation criteria the library should support. Done would mean an agreed scope and a usable collection of optimized per-model system prompts.

Written by the indexing model from the issue text.

Description

I find this project very interesting, and would like to try it out, but don't have the personal budget to do the training for my most-used model right now. Considering the relative stability of frontier coding models, would it not make sense to crowd-source optimized system prompts for common models? I know there are tradeoffs and non-determinism, in the process, but a library of standard prompts would lower the barrier to entry and could help make your excellent research more widely adopted.

Dominant language
Python
Stars
47
Forks
7
PR merge metrics
No merged PRs in 30d

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