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organizational-knowledge
ARAYA organizational knowledge management — standards, patterns, ADRs, lessons learned, technology preferences, and project reconstitution.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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ARAYA organizational knowledge management — standards, patterns, ADRs, lessons learned, technology preferences, and project reconstitution.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Consult and write the ARAYA postoffice — the operational-directive channel. Advisory, never a gate: read it at cycle start, append your entry at cycle end, consider its directives, never be blocked by it. Governance acts never travel the postoffice.
Audit and enforce brand compliance across all projects and platforms — logo,
Design REST and GraphQL APIs following OpenAPI 3.1 standards. Produce complete
Connect frontend to backend — type-safe API clients, request/response handling,
Implement authentication and authorization middleware — JWT validation, role-based
Design scalable component architectures — design systems, component libraries,
| name | organizational-knowledge |
| description | ARAYA organizational knowledge management — standards, patterns, ADRs, lessons learned, technology preferences, and project reconstitution. |
Manage ARAYA's organizational memory. Capture standards, patterns, lessons learned, and technology preferences. Reconstruct existing projects into governed baselines.
| 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 |
/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| Mode | Scope |
|---|---|
--quick | Lightweight assessment |
--deep | Full repo archaeology (git, docs, architecture) |
--propose | Generate recovered specs + roadmap |
Every reconstitution ends with: