Detect buying signals from multiple sources, qualify leads, and generate outreach context
Scanned 5/27/2026
Install via CLI
openskills install gooseworks-ai/goose-skills---
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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