Long-term memory system for Claude Code using HelixDB graph-vector database. Store and retrieve facts, preferences, context, and relationships across sessions using semantic search, reasoning chains, and time-window filtering.
Long-term memory system for Claude Code using HelixDB graph-vector database. Store and retrieve facts, preferences, context, and relationships across sessions using semantic search, reasoning chains, and time-window filtering.
Execute the Recursive Thought Committee (RTC) protocol by generating and harmonizing inputs from 5 specialized cognitive personas.
Orchestrate gummy-agents across distributed network using 'd' command for load-balanced, multi-host AI development
Implementing safety filters, content moderation, and guardrails for AI system inputs and outputs
Setup the Ralph autonomous AI coding loop - ships features while you sleep
This skill should be used when the user asks to "do something simple", "perform basic task", or needs minimal guidance. Demonstrates the simplest possible skill structure.
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, optimizing for cost or latency, implementing long-running agent systems, agents exhaust memory, or when designing conversation summarization strategies.
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow
This skill should be used when the user asks to "generate an image", "create a banner", "make artwork", "create an illustration", "generate a logo", "make a graphic", "design a header", "AI art", "img2img", or needs AI image generation. Handles prompt rewriting and Gemini 3 Pro image generation API calls.
Orchestrates a dual-AI engineering loop where Claude Code plans and implements, while Codex validates and reviews, with continuous feedback for optimal code quality
Use this skill when capturing user corrections, feedback, or learnings from a session to permanently improve other skills. This includes when users correct skill selection, suggest better approaches, validate successful patterns, or identify mistakes that should never be repeated. Invoked automatically by work-command-center at session end when feedback is detected.
Master prompt injection attacks, jailbreak techniques, input manipulation, and payload crafting for LLM security testing
Beginner workflow for LlamaIndex agents (Python). Use when the user wants FunctionAgent or ReActAgent with tools.
Design patterns for automatic skill activation at plugin or project level. Use when implementing keyword-based skill suggestions.
Generates new Claude Code subagent configuration files from user descriptions. Use proactively when the user asks to create a new subagent or agent. Keywords include create subagent, new agent, build agent, agent architecture.
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 services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Trace and evaluate GenAI applications including LLM calls, agents, RAG pipelines, and multi-step AI systems in Domino. Uses the Domino SDK (@add_tracing decorator, DominoRun context) with MLflow 3.2.0. Captures token usage, latency, cost, tool calls, and errors. Supports LLM-as-judge evaluators and custom metrics. Use when building agents, debugging LLM applications, or needing audit trails for GenAI systems.
掌握高级提示工程技术，以最大化生产环境中LLM的性能、可靠性和可控性。在优化提示、改进LLM输出或设计生产提示模板时使用。
Build LLM applications, RAG systems, and prompt pipelines. Implements vector search, agent orchestration, and AI API integrations. Use when working with LLM features, chatbots, AI-powered applications, or agentic systems.
Manages memory tool integration with CLAUDE.md files for dual persistence and redundancy. Handles cross-conversation learning, memory sync, and context persistence.
Create a new Agent Skill following project standards and templates. Use this when you need to encapsulate a new capability or workflow.
Self-improving context loader that MUST be run before every prompt. Searches Graphiti for relevant past work, loads appropriate vibe, and provides intelligent recommendations.
Beginner workflow for OpenAI Agents SDK (Python or TypeScript). Use when the user wants a code-first agent app with tools, handoffs, streaming, and traces.
