modelscope / modelscope/ultron

[Feature] Skill evolution

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Dominant language
Python
Stars
180
Forks
24
PR merge metrics
No merged PRs in 30d

Description

  1. Crystallize skills from knowledge clusters;
  2. Re-crystallize continuously as new knowledge arrives.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or entry points. Start by locating the existing Python implementations for skills and knowledge clusters, then determine how new knowledge is represented and persisted. Done means skills can be crystallized from knowledge clusters and updated continuously as new knowledge arrives, with tests covering both flows.

Written by the indexing model from the issue text.

Assessment

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

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