Data & AI skills

Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.

The English summary is being prepared. Showing the original description.

Research any topic across Reddit, X/Twitter, and the web from the last 30 days. Synthesizes findings into actionable insights or copy-paste prompts.

The English summary is being prepared. Showing the original description.

Access Web3 and crypto intelligence via Heurist Mesh MCP. Use when the user asks about cryptocurrency analytics, token information, trending tokens, wallet analysis, Twitter/X crypto intelligence, funding rates, market summaries, or any Web3-related queries. Heurist Mesh provides 30+ specialized AI agents for crypto use cases through the mcporter CLI.

The English summary is being prepared. Showing the original description.

Build gratitude practice with daily entries, streaks, and reflection prompts

The English summary is being prepared. Showing the original description.

GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.

The English summary is being prepared. Showing the original description.

Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs RAG/semantic search, or wants to start a local web UI for their docs.

The English summary is being prepared. Showing the original description.

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discoverability and citation.

The English summary is being prepared. Showing the original description.

Track flight status, delays, and search routes. Uses FlightAware data.

The English summary is being prepared. Showing the original description.

Precision Financial Insights - Analyze stocks, companies, and market sentiment using authoritative data. Powered by Yahoo Finance and enhanced with intelligent news synthesis by we-crafted.com/agents/financial-market-analysis - Buy CRAFTED_API_KEY in our website to start using

The English summary is being prepared. Showing the original description.

Web search and scraping via Firecrawl API. Use when you need to search the web, scrape websites (including JS-heavy pages), crawl entire sites, or extract structured data from web pages. Requires FIRECRAWL_API_KEY environment variable.

The English summary is being prepared. Showing the original description.

Google Analytics 4, Search Console, and Indexing API toolkit. Analyze website traffic, page performance, user demographics, real-time visitors, search queries, and SEO metrics. Use when the user asks to: check site traffic, analyze page views, see traffic sources, view user demographics, get real-time visitor data, check search console queries, analyze SEO performance, request URL re-indexing, inspect index status, compare date ranges, check bounce rates, view conversion data, or get e-commerce revenue. Requires a Google Cloud service account with GA4 and Search Console access.

The English summary is being prepared. Showing the original description.

Autonomous financial research agent for stock analysis, financial statements, metrics, prices, SEC filings, and crypto data.

The English summary is being prepared. Showing the original description.

Get cryptocurrency token price and generate candlestick charts via CoinGecko API or Hyperliquid API. Use when user asks for token price, crypto price, price chart, or cryptocurrency market data.

The English summary is being prepared. Showing the original description.

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

The English summary is being prepared. Showing the original description.

Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context.

The English summary is being prepared. Showing the original description.

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

The English summary is being prepared. Showing the original description.

Manage Canva designs, assets, and folders via the Connect API. WHAT IT CAN DO: - List/search/organize designs and folders - Export finished designs (PNG/PDF/JPG) - Upload images to asset library - Autofill brand templates with data - Create blank designs (doc/presentation/whiteboard/custom) WHAT IT CANNOT DO: - Add content to designs (text, shapes, elements) - Edit existing design content - Upload documents (images only) - AI design generation Best for: asset pipelines, export automation, organization, template autofill. Triggers: /canva, "upload to canva", "export design", "list my designs", "canva folder".

The English summary is being prepared. Showing the original description.

Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models ("blockrun", "use grok", "use gpt", "dall-e", "deepseek")

The English summary is being prepared. Showing the original description.

When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.

The English summary is being prepared. Showing the original description.

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa

The English summary is being prepared. Showing the original description.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

The English summary is being prepared. Showing the original description.

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.

The English summary is being prepared. Showing the original description.

Design and build custom Claude Code agents with effective descriptions, tool access patterns, and self-documenting prompts. Covers Task tool delegation, model selection, memory limits, and declarative instruction design. Use when: creating custom agents, designing agent descriptions for auto-delegation, troubleshooting agent memory issues, or building agent pipelines.

The English summary is being prepared. Showing the original description.

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

The English summary is being prepared. Showing the original description.