AI Sales Pipeline skill

python3 telemetry/versioncheck.py 2>/dev/null || true

by ericosiu·MIT license·★ 3,615 Stars on the repo·GitHub ↗

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AI Sales Pipeline

Preamble (runs on skill start)

# Version check (silent if up to date)
python3 telemetry/version_check.py 2>/dev/null || true

# Telemetry opt-in (first run only, then remembers your choice)
python3 telemetry/telemetry_init.py 2>/dev/null || true

Privacy: This skill logs usage locally to ~/.ai-marketing-skills/analytics/. Remote telemetry is opt-in only. No code, file paths, or repo content is ever collected. See telemetry/README.md.

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 [email protected]`
`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

1	# AI Sales Pipeline
2
3	## Preamble (runs on skill start)
4
5	```bash
6	# Version check (silent if up to date)
7	python3 telemetry/version_check.py 2>/dev/null \|\| true
8
9	# Telemetry opt-in (first run only, then remembers your choice)
10	python3 telemetry/telemetry_init.py 2>/dev/null \|\| true
11	```
12
13	> Privacy: This skill logs usage locally to `~/.ai-marketing-skills/analytics/`. Remote telemetry is opt-in only. No code, file paths, or repo content is ever collected. See `telemetry/README.md`.
14
15	---
16
17	Complete AI-powered sales pipeline automation: website visitor identification → intent scoring → suppression → campaign routing → dead deal resurrection → trigger prospecting → self-learning ICP optimization.
18
19	## When to Use
20
21	Use this skill when:
22	- Setting up automated outbound from website visitor identification (RB2B)
23	- Running suppression checks before cold outreach
24	- Routing leads to the right cold email campaigns
25	- Reviving closed-lost deals from HubSpot
26	- Finding companies showing buying signals (new hires, funding, job postings)
27	- Analyzing prospect approve/reject patterns to improve ICP targeting
28
29	## Tools
30
31	### RB2B Pipeline (visitor → outbound)
32
33	\| Script \| Purpose \| Key Command \|
34	\|--------\|---------\|-------------\|
35	\| `rb2b_webhook_ingest.py` \| Webhook server + intent scoring \| `python3 rb2b_webhook_ingest.py --serve --port 4100` \|
36	\| `rb2b_suppression_pipeline.py` \| 5-layer suppression checks \| `python3 rb2b_suppression_pipeline.py --email [email protected]` \|
37	\| `rb2b_instantly_router.py` \| Full pipeline: score → suppress → route → enroll \| `python3 rb2b_instantly_router.py --serve --port 4100` \|
38
39	### Deal Intelligence
40
41	\| Script \| Purpose \| Key Command \|
42	\|--------\|---------\|-------------\|
43	\| `deal_resurrector.py` \| 3-layer dead deal revival (time decay + POC expansion + champion tracking) \| `python3 deal_resurrector.py --top 10 --dry-run` \|
44	\| `trigger_prospector.py` \| Web signal monitoring (new hires, funding, agency searches) \| `python3 trigger_prospector.py --days 7 --top 15` \|
45	\| `icp_learning_analyzer.py` \| Learn from approve/reject decisions, recommend ICP changes \| `python3 icp_learning_analyzer.py` \|
46
47	## Configuration
48
49	All scripts use environment variables for API keys and configuration. Copy `.env.example` to `.env` and fill in your values.
50
51	### Required Environment Variables
52
53	- `HUBSPOT_API_KEY` — HubSpot private app token (Deal Resurrector, Suppression)
54	- `INSTANTLY_API_KEY` — Instantly API key (Router, Suppression)
55	- `BRAVE_API_KEY` — Brave Search API key (Trigger Prospector)
56	- `DATABASE_URL` — PostgreSQL connection string (ICP Analyzer only)
57
58	### Key Customization Points
59
60	- Intent scoring: Edit `PAGE_INTENT_SCORES` dict in webhook_ingest to match your URL patterns
61	- Agency detection: Edit `AGENCY_KEYWORDS_*` in router for your market
62	- Loss reason scoring: Edit `LOSS_REASON_BONUS` in deal_resurrector for your close reasons
63	- Signal queries: Edit `SEARCH_QUERIES` in trigger_prospector for your target market
64	- Campaign routing: Edit `data/campaigns.json` with your Instantly campaign UUIDs
65
66	## Data Flow
67
68	```
69	RB2B Webhook → Ingest (score) → Suppress (5 layers) → Route (classify) → Instantly
70	HubSpot CRM → Deal Resurrector (score + draft emails) → Review Queue
71	Brave Search → Trigger Prospector (score + enrich) → Outreach Queue
72	Prospect DB → ICP Analyzer (learn patterns) → Filter Recommendations
73	```
74
75	## Dependencies
76
77	- Python 3.9+
78	- `requests` (for HubSpot API)
79	- `psycopg2-binary` (for ICP Analyzer only)
80	- No other external dependencies — scripts use stdlib HTTP server and urllib
81