القائمة
Classify leads using LLM for complex distinctions like product SaaS vs agencies. Use when user asks to classify leads, filter leads by type, or categorize businesses.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | classify-leads |
| description | Classify leads using LLM for complex distinctions like product SaaS vs agencies. Use when user asks to classify leads, filter leads by type, or categorize businesses. |
Classify leads using Claude for complex distinctions that keyword matching can't handle.
./scripts/classify_leads_llm.py - Main classification script./scripts/update_sheet.py - Update sheets./scripts/read_sheet.py - Read from sheetspython3 ./scripts/classify_leads_llm.py .tmp/leads.json \
--classification_type product_saas \
--output .tmp/classified_leads.json
product_saas: Product companies vs service/consultingJSON file with classification added to each lead record.
| Name | Type | Required | Description |
|---|---|---|---|
leads_file | file_path | Yes | JSON file with lead data |
classification_type | string | Yes | Classification type (e.g., 'product_saas') |
output | file_path | No | Output JSON file path |
| Name | Type | Description |
|---|---|---|
classified_file | file_path | JSON file with classification added to each lead |
| Name | Source |
|---|---|
ANTHROPIC_API_KEY | .env |
Skills that chain well with this one: scrape-leads, gmaps-leads, instantly-campaigns
$0.30 per 1,000 leads
Manus-level AI browser agent that drives Dhruv's REAL logged-in Chrome (any profile — AIV, Onsite, etc.) via natural-language commands. Persistent, human-paced, un-blockable (real session), LLM-driven so it survives obfuscated selectors. Use when Dhruv says "control my AIV / control my <profile>", or asks to browse, search, apply, engage, or automate anything in his real browser.
Generate weekly long-form LinkedIn carousel posts with hand-drawn notebook-style slides — the proven 7-slide format optimized for the 2026 LinkedIn algorithm. Produces post copy + 7 Gemini-ready slide prompts + posting strategy + DM script + cross-platform repurposing in one go. Use when Dhruv asks for a weekly carousel, "Build-in-Public" educational post, or wants to teach a methodology / system / framework in long-form. Pairs with handdrawn-diagram skill for style consistency.
MCP server for AI-powered macOS control — apps, display, audio, files, screenshots, clipboard
Add new Modal webhooks for event-driven execution. Use when user asks to create a webhook, add an endpoint, or set up event triggers.
Deploy any full-stack app (Next.js + FastAPI or similar) to AWS production with Docker, ECR, ECS Fargate, ALB, ElastiCache, CloudWatch, and Grafana. Use when deploying to AWS, setting up CI/CD, configuring production infrastructure, or shipping any app to production.
Convert formal names to casual versions for cold email personalization - first names, company names, and city names. Use when user asks to casualize names, make names friendly, or prepare lead data for emails.