sales-pipeline
Skill1 starsChanged 7 months agoMITView on GitHub
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. 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…
- Reads credentials
4 other projects use a version of this.
Adopted by
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- manusco/resonancetheir own version, first seen Oct 22, 2026
- me-workspace/orchestrator-operational-agent-skillstheir own version, first seen Sep 29, 2026
- ericosiu/ai-marketing-skillsword for word, first seen Sep 2, 2026
- varunk130/ai-marketing-claude-skillstheir own version, first seen May 18, 2026
Other versions4 projects use a version of this.
Word for word · 1
- ericosiu/ai-marketing-skills★ 3.8k100% same
Edited · 0
None found.
Wrote their own version · 3
- manusco/resonance★ 38same name
- me-workspace/orchestrator-operational-agent-skills★ 1same name
- varunk130/ai-marketing-claude-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 21
Use this skill when:
- Very specific: line 49
All scripts use environment variables for API keys and configuration.
- Distinctive: line 80
No other external dependencies — scripts use stdlib HTTP server and urllib
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 || truePrivacy: 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. Seetelemetry/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 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_SCORESdict in webhook_ingest to match your URL patterns - Agency detection: Edit
AGENCY_KEYWORDS_*in router for your market - Loss reason scoring: Edit
LOSS_REASON_BONUSin deal_resurrector for your close reasons - Signal queries: Edit
SEARCH_QUERIESin trigger_prospector for your target market - Campaign routing: Edit
data/campaigns.jsonwith 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 RecommendationsDependencies
- Python 3.9+
requests(for HubSpot API)psycopg2-binary(for ICP Analyzer only)- No other external dependencies — scripts use stdlib HTTP server and urllib
Does it work?
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