Best AI Data Analysis and Science Skills
The best AI skills for data professionals. Data analysis, visualization, cleaning, and machine learning skills for data-driven workflows.
📋 All 30 Skills
Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.
dataRun the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html
dataHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant chec
dataExpert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for A
dataThis skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation ru
dataA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns,
dataTools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and
dataMeta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao
dataMain agent orchestrator that coordinates a specialized squad of agents
dataSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
dataAudits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Ge
dataEmail infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via t
dataBuild AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone n
dataBuild container-based Foundry Agents with Azure AI Projects SDK (ImageBasedHostedAgentDefinition). Use when creating hos
dataThis skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up C
dataBundle of 90+ granular skills for LangGraph, CrewAI, Agent Memory, AI Ethics, and autonomous agent patterns.
dataAI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI,
dataMembers from the Signal Foundation with some really great tips and tricks on how to turn your operating system into an i
dataExpert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-
dataExpert guidance on the complete modern data stack from ingestion to analytics: batch vs streaming, storage (Snowflake, B
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dataAI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipeli
dataEvery product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in produ
dataExpert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just
dataAI驱动的综合健康分析系统,整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。
dataConvert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer
dataDesign spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error han
dataComprehensive best practices for AI prompt engineering, safety frameworks, bias mitigation, and responsible AI usage for
dataRuns the AgentRC readiness assessment on the current repository and produces a self-contained, static HTML dashboard at
dataMake any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue te
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