Structured Data
Release Metadata
| Version | v1.2 |
|---|---|
| Release Era | Foundation |
| New Capabilities | 1 |
| Cumulative Capabilities | 8 |
| Cumulative Tests | — |
Era Context
Foundation Era
The core learning loop — pattern observation, skill suggestion, management, auto-loading, and agent composition.
Progression Metrics
| Capabilities | 8 of 139 |
|---|---|
| Era Progress | v1.2 of v1.0–v1.3 |
| System Maturity | Automated testing established |
Capabilities Introduced
Architectural Decisions
- Activation simulation framework — automated test cases verify skill triggers without live Claude sessions; simulation runs deterministically against recorded session data
- Threshold calibration via benchmarking — empirical tuning of activation thresholds against real session data; prevents both false-positives (skill loaded when not needed) and false-negatives (skill missed when relevant)
Breaking Changes
None.