Generate grounded answers from retrieved SOP chunks using local Qwen2.5-Instruct.
npx skills add https://github.com/J4Joshua/manuaI --skill qwen-j4joshua
Please help me install this Agent Skill. Skill: qwen Source: https://github.com/J4Joshua/manuaI/tree/main/.agents/skills/qwen Command: npx skills add https://github.com/J4Joshua/manuaI --skill qwen-j4joshua
This Skill solves the challenge of generating reliable factory-floor answers from retrieved SOP knowledge without hallucinating or giving unsafe instructions.
Use the qwen skill to configure Qwen2.5-Instruct as the grounded answer composer for my offline ManuAI retrieval pipeline.
High-intent search queries and answers about installing and using this skill.
Generate grounded RAG answers by passing retrieved SOP chunks to a local Qwen2.5-Instruct model, which composes concise operator responses with citation handling and safety validation for offline workflows.
Yes, you can run Qwen2.5-Instruct locally through Ollama or MLX to execute deterministic prompting and grounded answer generation for offline manufacturing machine assistance without internet dependency.
Prevent hallucinations in safety-critical responses by enforcing cite-or-refuse behavior, validating citations against retrieved SOPs, and triggering escalation when approved procedures are unavailable.
Cite-or-refuse validation ensures the model only outputs grounded answers with valid citations from retrieved SOP chunks, refusing to generate responses when approved safety procedures are unavailable.
Yes, Qwen2.5-Instruct supports streaming voice assistant scenarios by composing spoken, cited procedures from retrieved SOP knowledge for machine fault questions on the factory floor.
No internet connection is needed because Qwen executes local model inference through Ollama or MLX, enabling fully offline grounded answer generation and safety response composition.
carl10086Search local SOP directories for historical project documentation using ripgrep.
J4JoshuaGenerate offline speech from AI text using Kokoro or Piper on Apple Silicon.
dlantsIndex local Markdown files and retrieve semantic search results with contextual information.
ScientiaCapitalExport fine-tuned models to GGUF and deploy with vLLM or Ollama.
