One Skill to Rule Them All
In the first six months of using this meta-skill, it logged and applied over 900 improvements across my 50 skills, most of which were themselves created based on observations by the meta-skill. This meta-skill, called "task-observer", is a practical application of the Augmented Expertise methodology, an AI framework for knowledge workers. However, users have reported successful integrations into their Hermes and Openclaw setups, so it works equally well with autonomous agents. Creating skills is powerful but time-consuming. The skills that do get built stay frozen: they never learn from how you actually use them.
View One Skill to Rule Them All on GitHub
In the first six months of using this meta-skill, it logged and applied over 900 improvements across my 50 skills, most of which were themselves created based on observations by the meta-skill.
This meta-skill, called "task-observer", is a practical application of the Augmented Expertise methodology, an AI framework for knowledge workers. However, users have reported successful integrations into their Hermes and Openclaw setups, so it works equally well with autonomous agents.
Creating skills is powerful but time-consuming. The skills that do get built stay frozen: they never learn from how you actually use them.
One Skill to Rule Them All at a glance
| Stars | 2.8k |
|---|---|
| Forks | 279 |
| Language | Python |
| License | CC-BY-4.0 |
| Last update | 2026-09-21 |
| Contributors | 7 |
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