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UnifAI
UnifAI contient 10 skills collectées depuis redhat-community-ai-tools, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
MAS domain knowledge — architecture, component routing, rules, recipes. Use when working on any file under multi-agent/.
Project overview and domain routing table for the UnifAI monorepo. Each domain has its own skill with `paths` scoping for auto-surfacing when editing relevant files.
Deep investigation techniques for architecture reviews — import chain tracing, constructor audits, error propagation, cross-reference validation, test hygiene. Load during pipeline reviews or detailed architectural analysis.
Domain knowledge for the Platform Backend service. Admin config, platform API, and core orchestration. Use when working on files under backend/.
Domain knowledge for the Celery worker service. Async task execution for RAG pipeline processing. Shares codebase with rag/ — see RAG domain for core logic.
Domain knowledge for the global_utils shared Python library. Provides cross-service utilities: config, Redis, ports, helpers, embedding, Flask, and Celery app setup. Use when working on files under global_utils/.
Domain knowledge for the Identity & Authentication service. Covers auth, teams, OAuth, SSO, and access control. Use when working on files under shared-resources/identity/.
RAG domain knowledge — architecture, component routing, rules, and reference tables. Use when working on any file under rag/.
Domain knowledge for the Temporal worker service. Distributed workflow execution for MAS sessions. Shares codebase with multi-agent/ — see MAS domain for core logic.
Domain knowledge for the UnifAI frontend. React/TypeScript SPA with feature-oriented layout. Use when working on files under ui/client/src/.