القائمة
Interface for managing the Temporal Database and AI system (ReDB + GGUF embeddings).
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Guides the creation and review of Architectural Decision Records (ADRs). Use this skill when a significant architectural change is proposed, a new technology is introduced, or a trade-off needs to be documented.
Intelligently routes requests to the correct context instructions and documentation files. Use this skill to determine which AGENT.md, guide, or technical instruction file is most relevant for a user's request.
Scaffold API mocking infrastructure using Mountebank and Testcontainers for reliable integration testing.
Manage full-stack observability using Logfire (logging/tracing) and OpenObserve (storage/visualization).
Spec-Driven Development workflow using VibesPro conventions
Guides the selection and documentation of architectural decisions using ADR patterns.
| name | Temporal AI Skill |
| id | ce.skill.temporal-ai |
| description | Interface for managing the Temporal Database and AI system (ReDB + GGUF embeddings). |
| version | 1.0.0 |
This skill provides access to the VibesPro Temporal AI system, which combines a temporal database (ReDB) with local AI capabilities (GGUF embeddings via llama.cpp). It allows agents to initialize the knowledge base, check system status, embed documents, and query the temporal index.
| Command | Description | Usage |
|---|---|---|
/vibepro.temporal.init | Initialize the temporal database and project specifications. | /vibepro.temporal.init --project-name <name> |
/vibepro.temporal.status | Check the status of the temporal database and AI system (embeddings/models). | /vibepro.temporal.status |
/vibepro.temporal.embed | Embed a document or text into the temporal vector store. | /vibepro.temporal.embed --file <path> --model <model-name> |
/vibepro.temporal.query | Query the temporal knowledge base using semantic search. | /vibepro.temporal.query --text <query> --limit <n> |
/vibepro.temporal.init --project-name "My Vibe Project"
/vibepro.temporal.status
/vibepro.temporal.embed --file docs/specs/auth/login-flow.md
/vibepro.temporal.query --text "What is the authentication architecture?" --limit 5