Data & Analytics

Orchestrates complete machine learning pipelines within SpecWeave increments. Activates when users request "ML pipeline", "train model", "build ML system", "end-to-end ML", "ML workflow", "model training pipeline", or similar. Guides users through data preprocessing, feature engineering, model training, evaluation, and deployment using SpecWeave's spec-driven approach. Integrates with increment lifecycle for reproducible ML development.

Generate database schemas from plain English. Use when you need SQL tables fast.

Apollo.io API integration with managed OAuth. Search and enrich people and companies, manage contacts and accounts. Use this skill when users want to prospect, enrich leads, or manage sales data. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).

Generate images from tables for better readability in messaging apps like Telegram. Use when displaying tabular data.

SEO and content optimization specialist. Use when optimizing web pages, blog posts, landing pages for search engines, implementing structured data, meta tags, Open Graph, technical SEO, Core Web Vitals, or AI search engine optimization (AEO). Covers both traditional SEO and AI-powered search discoverability.

Search and analyze machine data via Splunk API. Run searches and manage dashboards.

Manage Notion notes, pages, and data sources with a JSON-first CLI for search, read/export, write/import, append, and move operations. Use when working with Notion, organising notes, moving pages, triaging an inbox, or reading/writing page content.

Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

Provide informed opinions and educated guesses on sports bets from Sportsbet. Use when asked to research a specific bet, analyze relevant data (both current and historical), and predict a potential outcome. Always include a disclaimer that the prediction is an educated guess and may be incorrect. **When assessing an outcome, provide a confidence level, ensuring it never exceeds 95%.**

On-chain immutable data storage using IQ Labs tech stack (IQDB, hanLock, x402). Use when building Solana-based persistent storage, on-chain databases, tamper-evident records, password-encoded data, or paid file inscription. Triggers on tasks involving on-chain CRUD, Solana PDA storage, rolling hash verification, Hangul encoding, or HTTP 402 payment-gated inscription.

Analyze brands to generate comprehensive brand identity profiles (JSON). Use when the user wants to analyze a brand, create a brand profile, or needs brand data for ad generation. Stores profiles for reuse across Ad-Ready, Morpheus, and other creative workflows. Can list existing profiles and update them.