Collecting reliable data from static pages, dynamic sites, and APIs requires several tools and careful engineering. This skill provides implementation templates for extraction, cleaning, storage, monitoring, and scaling.

Business teams often lack consistent metrics and repeatable analysis workflows. This skill guides SQL, Python, dashboards, experiments, and automated reporting from requirements to delivery.

Teams often spend time turning data questions into reliable SQL. This skill converts plain language into SQL guidance with execution-plan review and optimization advice.

Sales teams often need structured prospect lists by industry and location. This skill guides AI-assisted collection and CSV organization of company names, contacts, phones, and addresses.

Messy datasets slow analysis and create unreliable results. This skill guides Claude, Codex, and Claude Code through practical cleaning steps.

GPU rental prices differ by accelerator and market type. This skill finds FLOPS Index reference rates, compares markets, and provides sources for verification.

Offsite traffic can lower CVR before organic rank movement appears. This skill aligns business reports with SIF rank data and outputs practical CVR warning lines.

Amazon Ads search term reports are hard to turn into clear actions. This skill cleans reports, compares time windows, and produces reviewable bid, negative, scale, and listing feedback candidates.

Amazon operators need a fast way to verify whether a listing is visible, purchasable, and healthy from a shopper view. This skill fetches public Amazon pages, checks key listing signals, and creates a concise Markdown report.

Researchers often need precise data availability text, repository plans, and FAIR checks before submission. This skill turns English or Chinese data notes into Nature-style statements, dataset citation actions, and missing-information flags.

Images and scanned documents often contain text that is hard to reuse. This skill sends one image to an OCR service and returns structured text for the matching document type.

X workflows often need reliable search, extraction, monitoring, and account actions through one interface. This skill guides Claude, Codex, and Claude Code through Xquik API calls with consent and credential safeguards.

Teams need reliable WeChat public data for content and account analysis. This skill queries MaxHub endpoints for Channels and Official Accounts and summarizes results.

TikTok research often needs many video, user, search, and ad endpoints. This skill routes requests through MaxHub references and returns structured summaries.

Teams need structured social media data without hand-building API calls. This skill guides Claude, Codex, and Claude Code through MaxHub API lookups across supported platforms.

Teams need a consistent way to parse public video links across supported platforms. This skill guides MaxHub HybridParser calls with clear limits and API key handling.

Startup teams need financial plans that connect revenue, hiring, expenses, runway, and fundraising assumptions. This skill guides Claude, Codex, and Claude Code through structured 3-5 year projections and scenario planning.

Slow SQL queries increase latency and database costs. This skill guides query plans, indexes, pagination, batching, and maintenance choices.

Slow Spark jobs waste cluster budget and delay data delivery. This skill guides Claude, Codex, and Claude Code through partitioning, shuffle, memory, join, caching, and monitoring improvements.

Vector search projects need clear choices for indexes, databases, filters, and ranking. This skill provides practical templates for semantic retrieval systems.