How do I install the Ivx Ams Sales Pipeline skill?

Run npx skillmds@latest add intelli-verse-x/ivx-ams-sales-pipeline in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Ivx Ams Sales Pipeline safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ivx Ams Sales Pipeline?

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Is Ivx Ams Sales Pipeline free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ivx Ams Sales Pipeline?

intelli-verse-x (@intelli-verse-x) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ivx Ams Sales Pipeline by intelli-verse-x

Name: Ivx Ams Sales Pipeline
Rating: 4.2 (5 reviews)
Author: intelli-verse-x

Ivx Ams Sales Pipeline

Turn anonymous website visitors into qualified pipeline: RB2B routing, deal resurrection, trigger prospecting, and ICP learning from win/loss. Use for visitor-to-pipeline, dead deal revive, or ICP optimization.

intelli-verse-x Updated Sep 8, 2026 0 repo stars

File contents

Cursor install notes

Skill root: this folder (scripts + references live here).
Vendor source: ~/.cursor/skills/_vendor/ai-marketing-skills/ (git pull to update).
Telemetry is optional; skip telemetry/*.py unless you opt in.
Run Python from this skill directory so relative paths resolve.
Prefer python on Windows if python3 is missing.

AI Sales Pipeline

Working directory

cd ~/.cursor/skills/ams-sales-pipeline
# Windows: cd $env:USERPROFILE\.cursor\skills\ams-sales-pipeline

Complete AI-powered sales pipeline automation: website visitor identification → intent scoring → suppression → campaign routing → dead deal resurrection → trigger prospecting → self-learning ICP optimization.

When to Use

Use this skill when:

Setting up automated outbound from website visitor identification (RB2B)
Running suppression checks before cold outreach
Routing leads to the right cold email campaigns
Reviving closed-lost deals from HubSpot
Finding companies showing buying signals (new hires, funding, job postings)
Analyzing prospect approve/reject patterns to improve ICP targeting

Tools

RB2B Pipeline (visitor → outbound)

Script	Purpose	Key Command
`rb2b_webhook_ingest.py`	Webhook server + intent scoring	`python3 rb2b_webhook_ingest.py --serve --port 4100`
`rb2b_suppression_pipeline.py`	5-layer suppression checks	`python3 rb2b_suppression_pipeline.py --email user@example.com`
`rb2b_instantly_router.py`	Full pipeline: score → suppress → route → enroll	`python3 rb2b_instantly_router.py --serve --port 4100`

Deal Intelligence

Script	Purpose	Key Command
`deal_resurrector.py`	3-layer dead deal revival (time decay + POC expansion + champion tracking)	`python3 deal_resurrector.py --top 10 --dry-run`
`trigger_prospector.py`	Web signal monitoring (new hires, funding, agency searches)	`python3 trigger_prospector.py --days 7 --top 15`
`icp_learning_analyzer.py`	Learn from approve/reject decisions, recommend ICP changes	`python3 icp_learning_analyzer.py`

Configuration

All scripts use environment variables for API keys and configuration. Copy .env.example to .env and fill in your values.

Required Environment Variables

HUBSPOT_API_KEY — HubSpot private app token (Deal Resurrector, Suppression)
INSTANTLY_API_KEY — Instantly API key (Router, Suppression)
BRAVE_API_KEY — Brave Search API key (Trigger Prospector)
DATABASE_URL — PostgreSQL connection string (ICP Analyzer only)

Key Customization Points

Intent scoring: Edit PAGE_INTENT_SCORES dict in webhook_ingest to match your URL patterns
Agency detection: Edit AGENCY_KEYWORDS_* in router for your market
Loss reason scoring: Edit LOSS_REASON_BONUS in deal_resurrector for your close reasons
Signal queries: Edit SEARCH_QUERIES in trigger_prospector for your target market
Campaign routing: Edit data/campaigns.json with your Instantly campaign UUIDs

Data Flow

RB2B Webhook → Ingest (score) → Suppress (5 layers) → Route (classify) → Instantly
HubSpot CRM  → Deal Resurrector (score + draft emails) → Review Queue
Brave Search → Trigger Prospector (score + enrich) → Outreach Queue
Prospect DB  → ICP Analyzer (learn patterns) → Filter Recommendations

Dependencies

Python 3.9+
requests (for HubSpot API)
psycopg2-binary (for ICP Analyzer only)
No other external dependencies — scripts use stdlib HTTP server and urllib

---name: ivx-ams-sales-pipelinedescription: Turn anonymous website visitors into qualified pipeline: RB2B routing, deal resurrection, trigger prospecting, and ICP learning from win/loss. Use for visitor-to-pipeline, dead deal revive, or ICP optimization.---## Cursor install notes- Skill root: this folder (scripts + references live here).- Vendor source: `~/.cursor/skills/_vendor/ai-marketing-skills/` (git pull to update).- Telemetry is optional; skip `telemetry/*.py` unless you opt in.- Run Python from this skill directory so relative paths resolve.- Prefer `python` on Windows if `python3` is missing.# AI Sales Pipeline## Working directory```bashcd ~/.cursor/skills/ams-sales-pipeline# Windows: cd $env:USERPROFILE\.cursor\skills\ams-sales-pipeline```Complete AI-powered sales pipeline automation: website visitor identification → intent scoring → suppression → campaign routing → dead deal resurrection → trigger prospecting → self-learning ICP optimization.## When to UseUse this skill when:- Setting up automated outbound from website visitor identification (RB2B)- Running suppression checks before cold outreach- Routing leads to the right cold email campaigns- Reviving closed-lost deals from HubSpot- Finding companies showing buying signals (new hires, funding, job postings)- Analyzing prospect approve/reject patterns to improve ICP targeting## Tools### RB2B Pipeline (visitor → outbound)| Script | Purpose | Key Command ||--------|---------|-------------|| `rb2b_webhook_ingest.py` | Webhook server + intent scoring | `python3 rb2b_webhook_ingest.py --serve --port 4100` || `rb2b_suppression_pipeline.py` | 5-layer suppression checks | `python3 rb2b_suppression_pipeline.py --email user@example.com` || `rb2b_instantly_router.py` | Full pipeline: score → suppress → route → enroll | `python3 rb2b_instantly_router.py --serve --port 4100` |### Deal Intelligence| Script | Purpose | Key Command ||--------|---------|-------------|| `deal_resurrector.py` | 3-layer dead deal revival (time decay + POC expansion + champion tracking) | `python3 deal_resurrector.py --top 10 --dry-run` || `trigger_prospector.py` | Web signal monitoring (new hires, funding, agency searches) | `python3 trigger_prospector.py --days 7 --top 15` || `icp_learning_analyzer.py` | Learn from approve/reject decisions, recommend ICP changes | `python3 icp_learning_analyzer.py` |## ConfigurationAll scripts use environment variables for API keys and configuration. Copy `.env.example` to `.env` and fill in your values.### Required Environment Variables- `HUBSPOT_API_KEY` — HubSpot private app token (Deal Resurrector, Suppression)- `INSTANTLY_API_KEY` — Instantly API key (Router, Suppression)- `BRAVE_API_KEY` — Brave Search API key (Trigger Prospector)- `DATABASE_URL` — PostgreSQL connection string (ICP Analyzer only)### Key Customization Points- **Intent scoring**: Edit `PAGE_INTENT_SCORES` dict in webhook_ingest to match your URL patterns- **Agency detection**: Edit `AGENCY_KEYWORDS_*` in router for your market- **Loss reason scoring**: Edit `LOSS_REASON_BONUS` in deal_resurrector for your close reasons- **Signal queries**: Edit `SEARCH_QUERIES` in trigger_prospector for your target market- **Campaign routing**: Edit `data/campaigns.json` with your Instantly campaign UUIDs## Data Flow```RB2B Webhook → Ingest (score) → Suppress (5 layers) → Route (classify) → InstantlyHubSpot CRM → Deal Resurrector (score + draft emails) → Review QueueBrave Search → Trigger Prospector (score + enrich) → Outreach QueueProspect DB → ICP Analyzer (learn patterns) → Filter Recommendations```## Dependencies- Python 3.9+- `requests` (for HubSpot API)- `psycopg2-binary` (for ICP Analyzer only)- No other external dependencies — scripts use stdlib HTTP server and urllib

Frequently asked questions