SkillX
Automates the construction of structured skill knowledge bases for AI agents, making it easier to scale agent capabilities without manual curation.
A research framework from ZJU NLP that automatically builds a reusable, plug-and-play skill knowledge base for LLM agents from their own execution trajectories. It distills experience into a three-level hierarchy — planning, functional, and atomic skills — that can be injected into weaker base agents without retraining, reporting roughly 10% absolute gains on AppWorld, BFCL-v3, and tau2-Bench. Note: the README lists the codebase as a planned release; code is not yet published.
- Build reusable agent skill libraries from execution experience
- Transfer skills from a strong backbone agent to weaker base agents without retraining
- Improve success rates and efficiency for long-horizon, tool-using agents
Automates the construction of structured skill knowledge bases for AI agents, making it easier to scale agent capabilities without manual curation. Helps teams systematically grow what their agents can do.
AI engineering teams building agent systems who need a scalable method for defining and managing agent skills.
https://github.com/zjunlp/SkillX
By zjunlp
How to Get It
See repository README
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Help me build reusable agent skill libraries from execution experience
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Reviewer notes
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catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 270 GitHub stars; 4 contributors; last commit 44d ago; license MIT.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 270 GitHub stars; 4 contributors; last commit 44d ago; license MIT.