With my experience, only Skills with clear, programmable acceptance criteria can evolve autonomously
TL;DR · AI Summary
Only clear acceptance criteria are necessary for Skills to evolve autonomously.
Key Takeaways
- Clear acceptance criteria are necessary for Skills to evolve autonomously.
- AI can evaluate and optimize Skills to improve their quality.
- Humans should guide AI in optimizing Skills rather than writing them themselves.
Outline
Jump quickly between sections.
Introduce the concept of Skills evolving autonomously.
Clear acceptance criteria are essential for Skills to evolve autonomously.
AI can evaluate and optimize Skills to improve their quality.
Humans should guide AI in optimizing Skills rather than writing them themselves.
The SkillOpt framework evaluates and optimizes Skills through AI.
Mindmap
See how the topics connect at a glance.
查看大纲文本（无障碍 / 无 JS 友好）
- Skills 自我进化
- 明确验收标准
- AI 评估和优化
- 人指导 AI 优化
Highlights
Key sentences worth saving and sharing.
Clear acceptance criteria are necessary for Skills to evolve autonomously.
AI can evaluate and optimize Skills to improve their quality.
Humans should guide AI in optimizing Skills rather than writing them themselves.
JADE on X: "From my experience, only Skills with clear, programmable acceptance criteria can evolve autonomously. For example, if you create a Skill to optimize code performance, and the performance is measurable and quantifiable, then optimizing it with test cases will make it better over time.
For Skills without clear acceptance criteria, like writing, there isn't a definitive way to measure success. AI might 'self-score' but this score often differs from human intuition. Well-rated pieces by AI might seem artificial to humans. To improve Agent Skills effectively, human oversight and guidance are necessary. However, it's not necessary for humans to write the Skills themselves; ideally, humans should direct AI to optimize them. AI executes well in specific tasks.
Proper version management and iterative development are crucial. Sometimes, negative optimization occurs, requiring a rollback to previous versions."
Quote
karminski - Dentist
@karminski3
·
6 hours ago
What?! Skills can now be "trained"? Previously, people relied on experience to let AI write skills, and debugging involved running a few times to check for bugs. But just because a skill runs doesn't mean it's good. So, Microsoft collaborated with Shanghai Jiao Tong University, Fudan University, and Tongji University to introduce a new framework called SkillOpt. This framework allows AI to evaluate how well a skill is written and continuously optimize it!
As a result, the framework-generated skills
·
24
11
103
79
Read 24 replies