Build persistent memory systems for AI agents using Mem0, claude-mem, or custom implementations. Use when adding conversation memory, user preferences, or contextual recall to agents. Covers memory architecture patterns, retrieval strategies, and privacy controls. NOT for RAG systems (use building-rag-systems).
Use when building AI agents with Google's Agent Development Kit (ADK). Triggers include creating ADK agents, Gemini-powered agents, multi-agent workflows, MCP integration with ADK, agent evaluation, workflow agents (Sequential/Parallel/Loop), Vertex AI deployment, or comparing OpenAI SDK with ADK. NOT when using other frameworks (OpenAI SDK, LangChain, CrewAI) or general LLM API calls.
Use when testing AI agent code with pytest. Covers TDD for agent APIs, mocking LLM calls (NOT evaluating LLM outputs), pytest-asyncio patterns, FastAPI testing with httpx, SQLModel testing, and agent tool testing. NOT for evaluating LLM reasoning quality (use evals skill).
This skill should be used when the user asks to "list matrix solutions", "show matrix stats", "display memory contents", "view matrix status", "show failures", "list warnings", "export matrix data", "backup matrix", "export solutions", or needs to see or export Matrix memory.
Этот скилл MUST быть вызван когда нужно наложить пронумерованную сетку на изображение для определения пропорций колонок макета. SHOULD также вызывать при проектировании формы на основе изображения-прототипа. Do NOT использовать для других задач анализа изображений.
Компиляция схемы компоновки данных 1С (СКД) из компактного JSON-определения. Используй когда нужно создать СКД с нуля
Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.
Create conference talk outlines and iA Presenter markdown slides using the Story Circle narrative framework. Use when the user wants to structure a tech talk, create presentation slides, or needs help organizing talk ideas into a story-driven format.
Generate or edit images using AI models (FLUX, Gemini). Use for scientific illustrations, diagrams, schematics, infographics, concept visualizations, and artistic images. Supports image editing to modify existing images (change colors, add/remove elements, style transfer). Useful for figures, posters, and visual explanations.
Translate consciousness navigation into user's native language. Use when need to match user's frequency (technical/poetic/practical/mystical) without losing truth depth.
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.
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.
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.
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.
Apply strict operational protocols for AI task execution including sequential processing, minimal responses, no destructive operations without confirmation
Fetch current and historical crypto prices and compute ATH or ATL over common time windows.
Generate candlestick price charts for any asset from existing OHLC data, without handling data fetching.
Analyzes CSV files and automatically generates comprehensive summaries with statistical insights, data quality checks, and visualizations using Python and pandas. No questions asked — just upload a CSV and get a full analysis immediately.
Calculate line-of-sight and road distances between two cities using free OpenStreetMap services.
Handle spreadsheet operations (Excel/CSV) with high-fidelity modeling, financial analysis, and visual verification. Use for budget models, data dashboards, and complex formula-heavy sheets. Use proactively when zero formula errors and professional standards are required. Examples: - user: "Build an LBO model" -> create Excel with banking-standard formatting - user: "Analyze this data and create a dashboard" -> use openpyxl + artifact_tool - user: "Verify formulas in this spreadsheet" -> run recalc.py to check for errors
Setup the Ralph autonomous AI coding loop - ships features while you sleep
Meta-cognitive skill for improving Empirica using Empirica's own framework
