GitHub
create-tia-agent
Guides users through creating a new TIA XMPP agent based on mistral-minimal. Use when the user wants to create, build, set up, or scaffold a new agent, bot, or when they ask how to get started with TIA.
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testing security llm ai AI Skills
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claude-agent-sdk
Build production AI agents using the Claude Agent SDK (TypeScript/Python). Use this skill when the user asks about: (1) Building AI agents with Claude, (2) Using the @anthropic-ai/claude-agent-sdk or claude-age...
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GitHub
langchain-framework
LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications. Use when implementing RAG (Retrieval Augmented Generation), creating AI agents with tools, or chain...
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GitHub
dspy-framework
DSPy declarative framework for automatic prompt optimization treating prompts as code with systematic evaluation and compilers. Use when optimizing prompts systematically, building production LLM systems, imple...
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GitHub
mcp
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
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GitHub
draft-initialization
Initialize fiction draft cycles following the Spec-Kit workflow (idea → clarify → plan → tasks). Use when creating new drafts, planning rewrites, breaking down episodes, or structuring story changes. Triggers i...
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GitHub
paper-writing
Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers, research articles, conference papers, or technical reports...
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GitHub
semantic-searchsearch
Use when searching the codebase with natural language queries like "authentication logic" or "database connection"
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GitHub
llm-caching-patterns
Multi-level caching strategies for LLM applications - semantic caching (Redis), prompt caching (Claude/OpenAI native), cache hierarchies, cost optimization, and Langfuse cost tracking with hierarchical trace ro...
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GitHub
langfuse-observability
LLM observability with self-hosted Langfuse 3.x - tracing, evaluation, monitoring, prompt management, and cost tracking
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GitHub
streaming-api-patterns
Implement real-time data streaming with Server-Sent Events (SSE), WebSockets, and ReadableStream APIs. Master backpressure handling, reconnection strategies, and LLM streaming for 2025+ real-time applications.
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GitHub
ai-native-development
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for...
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GitHub
design-system-starter
Use this skill when creating or evolving design systems for applications. Provides design token structures, component architecture patterns, documentation templates, and accessibility guidelines. Ensures consis...
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GitHub
langgraph-workflows
Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointing
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GitHub
spawn-research-agents
Use when conducting codebase research to orchestrate specialized agents in parallel for comprehensive investigation.
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GitHub
agent-awareness
ALWAYS check this skill before using grep, glob, Task tool, or doing any codebase exploration. Guides you to use specialized agents that are more efficient than basic tools.
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GitHub
collaborative-outline
This skill should be used when the user asks to "创建大纲", "outline", "文章结构规划", "plan article structure", or needs help structuring their content before writing. Provides collaborative outline creation w...
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GitHub
prompt-writing
Generates, analyzes, and optimizes prompts for skills, commands, subagents, reference docs, and free-form text. Use when generating prompt content, analyzing prompt files, or optimizing prompt text to apply tec...
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GitHub
meta-prompt-framework
Three-phase task execution framework with refinement strategies and role-specific prompting. Automatically activates when designing prompts, optimizing task flows, or implementing iterative improvement patterns...
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GitHub
learning-design-checklist
Generate a quick compliance checklist from the Four Learning Design Pillars. Use when users want a practical checklist for reviewing content, a quick audit tool, or verification questions for specific pillars.
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GitHub
candidate-kb
Manage candidate knowledge base. Use when ingesting CVs, adding profile information, or querying candidate details for resume/cover letter generation.
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GitHub
prompt-versioning
Track prompt versions, A/B test variants, and measure prompt performance
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GitHub
guardrails-safety
Instrument safety checks, content filters, and guardrails for agent outputs
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GitHub
instrumentation-planning
Plan what to measure in AI agent systems using tiered approach
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