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orchestrator

Orchestrate automated B2B sales pipeline execution with Python and LinkedIn automation.

1|Updated May 5, 2026
Search Tags:#lead scoring#sales automation#LinkedIn outreach#AI personalization#GTM orchestration
One-click install
npx skills add https://github.com/ajayjoshi-ciphersonic/octo-reach --skill orchestrator-ajayjoshi-ciphersonic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/ajayjoshi-ciphersonic/octo-reach/tree/main/skills/orchestrator
Command: npx skills add https://github.com/ajayjoshi-ciphersonic/octo-reach --skill orchestrator-ajayjoshi-ciphersonic

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastapi, uvicorn, psycopg2-binary, requests, websocket-client, python-dotenv, beautifulsoup4, lxml, feedparser, psycopg2, slack_sdk, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill serves as the central orchestrator for the Scam.ai GTM engine, streamlining the entire sales pipeline from lead ingestion to outreach, scoring, and compliance.

Core Features & Use Cases

  • Autonomous Pipeline: Coordinates various skills for lead ingestion, scoring, personalization, LinkedIn outreach, reply management, compliance, and reporting.
  • Dynamic Scoring: Utilizes AI and rule-based scoring to prioritize leads based on intent and accessibility.
  • Outreach Automation: Automates personalized outreach using LinkedIn sessions and email communication, with customizable sequences and pacing.
  • Integration: Integrates with Slack for notifications and escalation, and with a database for logging and analytics.
  • Use Case: With this Skill, you can automate the process of discovering and engaging with high-potential leads, saving time and ensuring consistent outreach.

Quick Start

To run the full autonomous cycle, execute the following command:

python3 orchestrator.py run-cycle

Frequently Asked Questions about orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a B2B sales pipeline from lead discovery to LinkedIn outreach?▼

You can automate a B2B sales pipeline by running a Python orchestrator that coordinates lead ingestion, AI scoring, prioritization, LinkedIn outreach, and reporting using a scheduled cron-like execution cycle.

What is AI lead scoring and how does it prioritize prospects for GTM automation?▼

AI lead scoring evaluates and prioritizes prospects by combining rule-based logic with AI models to rank leads based on intent and accessibility, ensuring your GTM automation focuses on high-potential targets.

Do I need Python and specific libraries to run autonomous sales outreach sequences?▼

Yes, autonomous sales outreach requires Python along with specific libraries including FastAPI, psycopg2, and slack_sdk for session management, database logging, and Slack notification escalation.

Can I use Slack for sales escalation and reporting notifications in a GTM pipeline?▼

Yes, you can integrate Slack into your GTM pipeline to receive automated notifications and escalations for lead engagement metrics, compliance updates, and reporting directly from the orchestrator.

What's the best way to manage LinkedIn sessions for automated B2B outreach?▼

The best way to manage LinkedIn sessions for automated B2B outreach is using a Python orchestrator with websocket-client to handle session persistence, lead data, and engagement metrics with customizable pacing.

How do I execute a full autonomous GTM cycle using a Python script?▼

To execute a full autonomous GTM cycle, run the command 'python3 orchestrator.py run-cycle' in your terminal, which triggers the coordinated pipeline for lead discovery, scoring, and personalized outreach.

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