Distill any intent input into the SPEC kernel + companions — the canonical, preservation-validated machine contract for downstream work. Use when the user says "create a spec", "distill this into a spec", "validate this spec", or "update the spec".
Builds, edits, and analyzes workflows and skills. Use when the user requests to "build a workflow", "modify a workflow", "quality check workflow", or "analyze skill".
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
Use this skill when implementing complex programming tasks that benefit from multi-agent collaboration. This skill coordinates a Master LLM (orchestrator) with specialized agents (Requirements Agent, Code Agent, Review Agent) to deliver high-quality software through a structured development workflow.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Analyzes scenes for performance bottlenecks (draw calls, batching, textures, GameObjects). Use when optimizing scenes or investigating performance issues.
Generates production-ready C# script templates (MonoBehaviour, ScriptableObject, Editor, tests). Use when creating new scripts or setting up project structure.
Execute and analyze Unity Test Framework tests from the command line. This skill automates test execution for Unity projects by detecting the Unity Editor, configuring test parameters (EditMode/PlayMode), running tests via CLI, parsing XML results, and generating detailed failure reports. Use this when running Unity…
Assists with Unity UI Toolkit development - UXML structure, USS styling, C# VisualElement manipulation, data binding, and custom controls. Use when implementing UI Toolkit interfaces.
QA engineer for test automation and coverage. Use when the user asks to talk to Quinn or requests the QA engineer.
★not rated 5 3mo agoA29 tokens
copy · 100%MIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: