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/signal-detection-pipeline

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

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goose-skills
1.2k200 skills
Install
$ npx -y skills add gooseworks-ai/goose-skills --skill signal-detection-pipeline --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/signal-detection-pipeline

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

signal-detection-pipeline.SKILL.md
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
Read more
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