Works with the AI Agents you already use
Nex Prospect Blueprint
Blueprint for an internal prospecting engine: scrape, enrich, score, build a demo, pitch, and track to a booked call.
$39
nex-prospect-blueprint
Example session with this skill installed
I want to build a version of Nex Prospect for the real estate vertical using my existing FastAPI and Postgres foundation skills.
- Read your context and instructions
- Compiled the nex-prospect-blueprint
Generated prospect-blueprint/ folder.
- ARCHITECTURE.md: Defined real estate lead flow.
- DECISIONS.md: Configured for Pi-hosted deployment.
- schemas.sql: Multi-tenant tables with tenant_id.
- wiring/: FastAPI routes and arq tasks generated.
- Next step: Run seed_prospects.py.
Connects securely to your tools. The creator never sees your data.
About this skill
What it does
- Lays out the full pipeline from raw source to booked call, with the data contract at each stage.
- Specifies the scraper politeness rules, the enrichment fields that actually matter and the scoring rubric.
- Defines the demo-first pitch motion: build the site before the mail, lead with the link.
- Ships the tracking model so you can see which stage leaks instead of guessing.
Use cases
- Building an in-house outbound engine instead of buying a lead list
- Fixing a pipeline that produces leads but no booked calls
- Documenting the sales motion so someone else can run it
- Deciding what to automate first and what to keep manual
Known limitations
An architecture and process blueprint, not a running application. Tuned to Belgian SME web and automation services, so ICP and messaging need adapting for another market. Respect local scraping and GDPR rules, the blueprint states them but you own compliance.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills to Reverse Engineer and Scrape Websites.
- Architectural blueprint, not a standalone binary.
- Requires existing foundation skills for full implementation.
- Compliance with GDPR and scraping laws is the user responsibility.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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