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생산성 및 협업 · SKILL.md

signal-detection-pipeline

signal-detection-pipeline

Detect buying signals from multiple sources, qualify leads, and generate outreach context

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

type: playbook name: signal-detection-pipeline description: Detect buying signals from multiple sources, qualify leads, and generate outreach context

Signal Detection Pipeline

Monitor multiple signal sources to find companies actively in-market for your client's solution. Combine signals for higher-confidence leads.

When to Use

  • "Find companies that might need [our product]"
  • "Run signal detection for [problem area]"
  • "Find buying signals in [industry/topic]"

Signal Sources

Run the sources relevant to the client's ICP. Each is independent — run in parallel.

Job Posting Signals (Strongest)

Skill: job-posting-intent

Companies hiring for roles in the problem area = budget allocated and pain acknowledged.

  • Input: Job keywords, ICP criteria
  • Output: Qualified companies with outreach angles

Funding Signals

Skill: funding-signal-monitor

Recently funded companies = budget available, growth mandate.

  • Input: Industry, funding stage filter
  • Output: Funded companies with timing context

Conference Attendance Signals

Skill: luma-event-attendees

People attending events in the problem space = actively engaged.

  • Input: Event URLs or topic search
  • Output: Person/company list

Reddit Pain Signals

Skill: reddit-post-finder

People complaining about or discussing the problem = experiencing the pain.

  • Input: Keywords, relevant subreddits
  • Output: Posts with authors, context

LinkedIn Content Signals

Skill: linkedin-post-research + linkedin-commenter-extractor

People posting about or engaging with the problem = thought leaders or practitioners.

  • Input: Keywords, time frame
  • Output: Posters and commenters with engagement data

Combining Signals

After running relevant sources:

  1. Deduplicate companies appearing across multiple signals (multi-signal = strongest leads)
  2. Score each lead: assign signal strength based on source quality and recency
    • Job posting + funding = highest intent
    • LinkedIn post + Reddit complaint = validated pain
    • Single conference attendance = lowest (awareness only)
  3. Enrich top leads with web search for company details
  4. Consolidate into a single Google Sheet: Company, Signal Sources, Signal Strength, Context, Outreach Angle
  5. Prioritize companies with multiple signal types

Human Checkpoints

  • After combining signals: Review consolidated list before outreach
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