使用 Apify 抓取並驗證商業潛在客戶，透過 LLM 進行分類、豐富電子郵件，並儲存至 Google 試算表。當使用者要求尋找潛在客戶、抓取商家、生成潛在客戶清單或為任何產業與地區建立潛在客戶資料庫時使用。
這是一個專為 AI 代理設計的技能，用於自動化潛在客戶的抓取、驗證與管理流程。它整合了 Apify 作為資料抓取工具，透過 LLM（大型語言模型）進行產業相關性分類，並利用 AnyMailFinder 豐富遺漏的電子郵件，最終將結果上傳至 Google 試算表，提供一個結構化的潛在客戶資料庫。此技能支援 Claude Code、Cursor 等平台，並透過地理分區（如美國、歐盟、英國等）實現平行抓取，大幅提升大規模任務（1000 筆以上）的效能，可達 3-5 倍加速。其工作流程包含測試抓取、驗證比對（要求 80% 以上的產業匹配率）、全面抓取、可選的 LLM 分類，以及批次更新試算表。使用者只需提供產業、地點與所需數量，即可獲得 Google 試算表連結作為最終產出，中間的 JSON 檔案僅為暫存。此技能適用於銷售團隊、市場研究人員或任何需要建立目標產業潛在客戶清單的開發者，尤其適合需要處理大量資料且要求精確分類的場景。
npx skills add https://github.com/aiagentwithdhruv/skills/tree/HEAD/scrape-leads使用 Apify (code_crafter/leads-finder) 抓取潛在客戶，驗證其相關性（產業匹配 > 80%），並儲存至 Google 試算表。對於大規模抓取（1000 筆以上），使用平行抓取以獲得 3-5 倍的效能提升。
This repo contains 10 individual skills — each has its own dedicated page.
Add new Modal webhooks for event-driven execution. Use when user asks to create a webhook, add an endpoint, or set up event triggers.
Answer Euron Gen AI Bootcamp doubts instantly. Covers Euri API setup across all frameworks (Python, LangChain, OpenAI SDK, TypeScript, n8n, curl), MCP server setup, common errors, model recommendations, and token limits. Use when someone in the bootcamp asks a question.
Manage emails across multiple Gmail accounts with unified tooling. Use when user asks to check email, read inbox, label emails, archive messages, or manage Gmail across accounts.
Auto-label Gmail emails into Action Required, Waiting On, and Reference categories. Use when user asks to label emails, triage inbox, categorize emails, or organize Gmail.
Scrape Google Maps for B2B leads with deep website enrichment and contact extraction. Use when user asks to find local businesses, scrape Google Maps, generate contractor lists, or build local service business databases.
Run Claude orchestrator locally with Cloudflare tunneling. Use when user asks to run locally, start local server, or test webhooks locally.
MCP server for AI-powered macOS control — apps, display, audio, files, screenshots, clipboard
Deploy execution scripts to Modal cloud. Use when user asks to deploy to Modal, push code to cloud, or update Modal functions.
Query Skool community content using RAG pipeline with vector search. Use when user asks to search Skool knowledge, find community answers, or query Skool content.
Scrape Upwork jobs and generate personalized proposals with cover letters. Use when user asks to find Upwork jobs, create Upwork proposals, or apply to Upwork listings.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.