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Found 8 Skills
Configure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.
Provides comprehensive guidance for Stable Diffusion AI image generation including model usage, prompt engineering, parameters, and image generation. Use when the user asks about Stable Diffusion, needs to generate AI images, configure models, or work with Stable Diffusion.
Analyze video content using visual/video large models. This tool is triggered when the user uses phrases like "analyze video", "video understanding", "look at this video", or "analyze video".
Mandatory protocol for dispatching any built-in and custom agent in this project via the task tool. Use this skill EVERY TIME you are about to call the task tool with a custom agent_type. This skill ensures the agent's intended model (declared in its YAML frontmatter) is respected rather than overridden by a default. Also encodes prompting best practices for subagent context and quality. ALWAYS invoke before any task tool call that targets a custom agent — even if the agent name seems obvious.
Manages AI SDK model configurations - updates packages, identifies missing models, adds new models with research, and updates documentation
Step-by-step guide for adding support for a new LLM in Dust. Use when adding a new model, or updating a previous one.
Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
Model configuration editor for ~/.pi/agent/models.json with multi-protocol curl testing support.