EvoSkill v2：Agent无需重训即可通过持久技能实现自我进化
Agents can self-improve without retraining.
Agent 架构师必看，这种不碰权重、仅靠持久技能文件实现自我进化的思路极具复用价值，建议直接参考其教练-工人分离的验证框架。
Agents can self-improve without retraining.
EvoSkill v2 achieves this with persistent agent skills.
A coach agent reads the failed runs and writes the skill. The worker loads it the next time a similar task shows up.
No weights are touched. Every improvement comes from a simple file with lessons.
Every bad lesson also gets saved. On spreadsheet repair, the coach found the grader trusted cached values and wrote a skill telling the worker to skip recalculation.
Sentient's fix was to split the roles. The agent that writes skills cannot touch the test. A person reviews the results after every round.
With that in place, the hardest spreadsheet tasks went from 3 passes out of 120 to 21.
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力