microsoft/SkillOpt

Health v2 · maintenance only

Flags: young

Adoption not part of the score

16387 stars · 1539 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

SkillOpt is a Python library from Microsoft that trains reusable natural-language skills for frozen LLM agents using trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts. It applies neural-network-style training loops (epochs, batch sizes, learning rates) to text-space optimization without modifying model weights.

Use cases

• optimize agent skills without fine-tuning model weights
• train reusable natural-language skills for LLM agents
• improve agent performance through trajectory-driven edits
• run offline nightly self-evolution of agent skills
• deploy optimized agent skills as markdown artifacts
• apply validation-gated updates to agent prompts

When to choose

• you want to improve LLM agent performance without touching model weights
• you need reusable, deployable skill artifacts like best_skill.md
• you want a training-loop-style optimizer for text-space agent skills
• you use Python 3.10+ and want an MIT-licensed, pip-installable skill optimizer

When to avoid

• you need actual weight fine-tuning or model training
• your agents don't use LLMs or natural-language skills
• you need a framework-agnostic solution outside the Python ecosystem

Facets

library · maturity active

agent-framework prompt-engineering llm-training machine-learning artificial-intelligence large-language-models developer-tools python cli cross-platform agent-skills self-evolving-agents text-space-optimization prompt-optimization skill-learning frozen-llm trajectory-optimization validation-gates ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/SkillOpt")