| name | organizational-knowledge |
| description | ARAYA organizational knowledge management — standards, patterns, ADRs, lessons learned, technology preferences, and project reconstitution. |
Organizational Knowledge
Manage ARAYA's organizational memory. Capture standards, patterns,
lessons learned, and technology preferences. Reconstruct existing
projects into governed baselines.
Knowledge Types
| Prefix | Type | Example |
|---|
| STD | Standard | README must be updated for every feature |
| PAT | Pattern | Use medallion architecture for data lakes |
| ANTI | Anti-pattern | Avoid premature microservice decomposition |
| ADR | Architecture Decision | Why we chose FastAPI over Flask |
| LESSON | Lesson Learned | SVG diagrams mandatory for README |
| PREF | Technology Preference | FastAPI preferred over Flask |
Commands
/araya knowledge — summary of organizational knowledge/araya knowledge --search "<term>" — search standards, ADRs, lessons/araya learn "<lesson>" — capture a structured lesson learned/araya reconstitute — analyze existing project and reconstruct reality/araya reconstitute --deep — full repository archaeology/araya reconstitute --propose — generate recovery roadmap
Reconstitution Modes
| Mode | Scope |
|---|
--quick | Lightweight assessment |
--deep | Full repo archaeology (git, docs, architecture) |
--propose | Generate recovered specs + roadmap |
Recovery Options
Every reconstitution ends with:
- Minimal Cleanup
- Moderate Re-Baselining
- Full Reconstitution
