Discover devops llm ai skills, compare source repositories and read the instructions for each workflow.
Expert UI design guidance for polishing game interfaces. Use when reviewing screenshots, recommending CSS improvements, designing color schemes, improving typography, adding visual polish, or making the game lo...
Compound engineering workflow for self-improvement. Auto-loads when completing features, doing reviews, or capturing learnings into CLAUDE.md and rules.
FIRST STEP - Assess task complexity (0-20 score) and output orchestration level (0-3). Use for ANY non-trivial task BEFORE execution. Scores across scope, time, agents, dependencies, documentation. Level 0 (0-2...
Create tiered reports (micro/standard/comprehensive) based on task complexity. Tier 1 (200-500 words) for Level 1 tasks, Tier 2 (500-1500 words) for Level 2, Tier 3 (1500-5000 words) for Level 3 epics. Synthesi...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Fast ideation and problem exploration. Triggers on Ukrainian/English phrases like "подумай", "поміркуй", "брейнштормінг", "brainstorm", "think through", "накидай ідеї", "generate ideas". Rapid divergent thinkin...
Pydantic-AI agents, RAG, embeddings for Pulse Radar knowledge extraction.
Extract personal facts about a user from AI chat transcripts and structure into themed markdown files. Use when (1) Processing Claude, Claude Code, or ChatGPT conversation exports, (2) Building personalized AI...
Meta-skill creation and optimization system that analyzes, designs, and builds new specialized skills using the integrated toolset. Transforms skill creation from art to science through pattern recognition, int...
Extract and structure personal context from AI chat transcripts into themed markdown files. Use when (1) Processing Claude, Claude Code, or other AI conversation exports, (2) Building personalized AI assistants...
Meta-skill creation and optimization system using pattern recognition, intelligent tool selection, and automated quality assurance.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Consult external AI council (Gemini, Codex, Qwen, GLM-4.7) for thorough reviews and consensus-driven decisions. Use ONLY when explicitly invoked with "/council" or when user says "consult the council", "invoke...
Production deployment and operationalization of AI agents on Databricks. Use when deploying agents to Model Serving, setting up MLflow logging and tracing for agents, implementing Agent Evaluation frameworks, m...
Expert guidance for building production-ready tool-calling agents with Databricks Mosaic AI Agent Framework. Use when users need to create agents that orchestrate multiple data sources or APIs, implement LangCh...
Integrate Databricks Genie rooms as tools in agent workflows. Use when integrating Genie spaces with AI agents, querying Genie rooms programmatically via SDK or MCP, managing Genie conversations and polling, ha...
Set up Ralph for autonomous feature development. Use when starting a new feature that Ralph will implement. Triggers on: ralph, set up ralph, start ralph, new ralph feature, ralph setup. Chats through the featu...
Generates personalized greetings for emails, messages, and announcements. Use when the user asks for help writing greetings, welcomes, or introductions.
This skill should be used for quick inline architecture validation during coding. Use when the user asks "is this the right pattern?", "should this be async?", "does this follow BasePlaneFacade?", or similar qu...
This skill should be used for quick inline brain-faithfulness validation during coding. Use when the user asks "is this brain-faithful?", "is this naming correct?", "should this be driver or modulator?", or sim...
Create technical implementation plans from specifications with intelligence-backed architectural decisions. Use when specification exists and user mentions tech stack, architecture, implementation approach, or...
Create user-centric product definitions by analyzing the repository, inferring product goals and user needs, clarifying ambiguities through structured questioning, and generating comprehensive product.md docume...
Create technology-agnostic feature specifications using intelligence-first queries. Use when user describes what they want to build, mentions requirements, discusses user needs, or says "I want to create/build/...
Use when iteratively improving agent prompts through automated LLM-as-Judge evaluation. Runs eval→fix→commit loop with circuit breakers.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.