gooseworks-ai/signal-detection-pipeline
skills/playbooks/signal-detection-pipeline/SKILL.md
Detect buying signals from multiple sources, qualify leads, and generate outreach context
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skillsauthnpx skillsauth add gooseworks-ai/goose-skills signal-detection-pipelineInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 22, 2026, 11:11 AM115.2s2 files scanned
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:
- Deduplicate companies appearing across multiple signals (multi-signal = strongest leads)
- 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)
- Enrich top leads with web search for company details
- Consolidate into a single Google Sheet: Company, Signal Sources, Signal Strength, Context, Outreach Angle
- Prioritize companies with multiple signal types
Human Checkpoints
- After combining signals: Review consolidated list before outreach
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