GitHub
nlx-design-stack
Use when designing AI agents or chatbots, when raw model outputs feel like a black box, or when building natural language interfaces that need structure and trust
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tools llm ai AI Skills
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unstuck-scaling
Use when AI agents frequently hit dead ends, when reliability is the main constraint on scaling utility, or when general model improvements don't solve specific blockers
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GitHub
ai-teammate-model
Use when designing AI agent products, defining roadmaps for agentic workflows, or evaluating how to evolve AI from passive tool to proactive partner in software development
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GitHub
three-layer-agent-stack
Use when building AI-powered products or agents, when raw model intelligence isn't enough to solve user problems, or when designing the architecture for agentic workflows
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GitHub
chatter-driven-development
Use when designing futuristic agentic workflows, when wanting AI to proactively act on team communications, or when eliminating the bottleneck of formal specifications
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GitHub
codex-collaboration
This skill should be used when the user asks to "collaborate with Codex", "use Codex for planning", "get Codex review", "delegate to Codex", "Codexと協調", "Codexにレビューを依頼", "Codexに計画を作成させたい",...
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GitHub
opence-compound
Document learnings, capture repeatable workflows as skills, and prepare to compound an opence change.
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GitHub
prompt-sync-workflow
Coordinate prompt and skill updates across related changes
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GitHub
create-plan
Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.
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GitHub
retrace
This skill should be used when the user asks to "find past conversations", "recall what was done", "search history", "look up previous work", "how did we handle X", "what was that implementation", "find similar...
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GitHub
web-research
Web search with automatic Qdrant storage for building persistent knowledge
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GitHub
rag-builder
Build Retrieval-Augmented Generation systems with vector databases
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GitHub
agent-builder
Build specialized sub-agents for the workflow system
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GitHub
knowledge-ingestion-patterns
Patterns for ingesting knowledge into vector databases and RAG systems
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GitHub
prompt-template
Create and manage reusable prompt templates
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GitHub
task-decomposition
Break down complex tasks into actionable, atomic steps that can be executed by individual agents.
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GitHub
embedding-comparison
Compare and evaluate embedding models for semantic search
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GitHub
ai-video-generation
AI video generation patterns using Sora, Runway, Pika, and other AI video tools. Use when generating videos from text prompts, image-to-video conversion, AI video editing, or integrating AI video APIs.
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GitHub
qdrant-patterns
Store and retrieve documents using Qdrant for RAG workflows. Use for persistent memory, research storage, and semantic search.
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GitHub
rag-wrapper
Patterns for wrapping any agent with RAG context from Qdrant. Use to add persistent memory to imported or external agents.
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GitHub
mcp-server-builder
Build Model Context Protocol servers for Claude Code integration
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GitHub
skill-creator
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...
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GitHub
deep-research
Conduct comprehensive, multi-source research on any topic using web search, documentation lookup, and critical analysis. This skill should be used when users request thorough investigation, deep research, or co...
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GitHub
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
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