Multi-platform lead scraping from Google Maps, social media, websites, and search engines.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add apify/agent-skills --skill apify-lead-generationCompatible with
Supported agents
Supports 16+ Actors covering Google Maps, Instagram, TikTok, Facebook, YouTube, LinkedIn, Google Search, and contact enrichment
Dynamically fetches Actor schemas via mcpc CLI to determine required and optional input parameters before execution
Outputs results as quick chat summaries, CSV, or JSON files with configurable result limits
Requires APIFY_TOKEN in .env file and Node.js 20.6+ for en
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionapify-lead-generationExecute the skills CLI command in your project's root directory to begin installation:
epx add apify/agent-skills --skill apify-lead-generationFetches apify-lead-generation from apify/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/apify-lead-generation
Restart Cursor to activate apify-lead-generation. Access via /apify-lead-generationin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
ppt-generation
bytedance/deer-flow · Productivity · tag: generation
marketing-leads-generation
vasilyu1983/ai-agents-public · Marketing · tag: generation
fastapi-python
mindrally/skills · Backend · same category
java-springboot
github/awesome-copilot · Backend · same category
google-image-search
glebis/claude-skills · Backend · same category
python-backend-architecture-review
rknall/claude-skills · Backend · same category
Registry listing for apify-lead-generation matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in apify-lead-generation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
apify-lead-generation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend apify-lead-generation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
apify-lead-generation has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in apify-lead-generation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for apify-lead-generation matched our evaluation — installs cleanly and behaves as described in the markdown.
apify-lead-generation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
apify-lead-generation reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: apify-lead-generation is the kind of skill you can hand to a new teammate without a long onboarding doc.
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