Pattern: Self-Improving Agents That Auto-Generate Skills From Their Own Trajectories

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Multiple high-traction projects now converge on agents that mine completed runs into reusable skills: Hermes Agent distills any 5+ tool-call task into a Markdown skill file, DeepSeek-Reasonix exposes a skills layer, and pro-workflow compounds corrections over 50+ sessions. The shared mechanism is post-task reflection writing durable, human-editable artifacts to disk rather than opaque weights. For builders, the design lesson is to make the learning loop inspectable and git-committable so skills can be reviewed, shared, and rolled back.