Your codebase teaches itself
Every Orc run watches what works, captures it as a reusable skill, and ships it back. It gets better the more you use it.
Automatic skill creation with Meta Observer
Meta Observer watches every run end-to-end, extracts the skill, names it, validates it on similar past runs, and adds it to your library automatically.
Intelligence meets execution
Skills are structured artifacts you can audit, edit, version, and share.
Each one captures the trigger, the context, the working pattern, and the validation criteria which is readable as both Orc's runtime input and as a documentation artifact for your team.
The longer you run Orc, the better Orc gets.
Every skill removes redundant work from future runs. Token spend drops, wall time drops, success rates climb.
- Orchestrator8.6%
- Symphony2%
- Intent0.4%
- Conductor0%
- Amp Code-12.5%
Model lift (GPT 5.4 High)
FAQ
Automatic Skills are reusable workflow patterns captured from successful runs. The Meta Observer watches each run end to end, identifies what works, names and validates the skill, and adds it to your team's skill library, so future agents repeat proven approaches instead of rediscovering the same knowledge.
Yes. Skills can be audited, edited, versioned, and shared, making them useful both to Orchestrator and to the engineering team.
Yes. Orchestrator learns from each team's codebase over time. By capturing triggers, context, working patterns, and validation criteria, skills reduce redundant work and can lower token spend, shorten wall time, and improve success rates on similar tasks.