ReqSolve — AI skill for Claude Code
Self-hosted, AI-assisted ticketing & request management for organizations — multi-department with strict isolation, bring-your-own-AI (Claude, Copilot, local models via Ollama), semantic knowledge bas.
How to install ReqSolve
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open perfa01/ReqSolve and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What ReqSolve does
Self-hosted, AI-assisted ticketing & request management for organizations — multi-department with strict isolation, bring-your-own-AI (Claude, Copilot, local models via Ollama), semantic knowledge base, full English/German UI.
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README
ReqSolve
**ReqSolve** is a self-hosted, AI-assisted request, ticket & case management system for multi-department organizations (IT, HR, Finance, Facilities…). It replaces shared Outlook mailboxes and legacy ticket tools with one system that keeps **your data on your infrastructure**, lets you **bring your own AI** (any major LLM provider — or none at all), and ships **fully bilingual (English + German)**, UI and documentation included.
Key features
- Tickets & formal requests ("Anträge") — queues with filters and saved views, priorities, due dates & SLA plans, tags, watchers, merge, CSV export, and a full audit trail. AI detects whether an incoming item is a plain ticket or a formal request and pre-fills the request's structured fields for the agent to review.
- AI assistance across the workflow — grounded solution suggestions from your own knowledge base, customer-reply drafting, one-click thread summaries, priority detection, plain-language routing rules, and note cleanup. Powered by your choice of provider: Anthropic, OpenAI, Google Gemini, Mistral, Azure OpenAI, Groq, xAI, DeepSeek, OpenRouter, Together AI, a self-hosted Ollama, any custom OpenAI-compatible endpoint, or (experimental) Microsoft 365 Copilot. One provider, one key — every AI feature runs on it. AI is optional; everything else works without it.
- Knowledge base with semantic memory — resolved cases become reusable articles (with AI cleanup and optional flow diagrams). Search and suggestions use local pgvector embeddings, so retrieval works by meaning, not j
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