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temporal-ai-skill
Interface for managing the Temporal Database and AI system (ReDB + GGUF embeddings).
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Interface for managing the Temporal Database and AI system (ReDB + GGUF embeddings).
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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