mcpbeat

Signal Detection Pipeline

gooseworks-ai/signal-detection-pipeline

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

677 tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill signal-detection-pipeline

What comes with it

277 bytes besides the instruction
skill.meta.json

The instruction itself

10 sections, as written by the author

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

How to use it

Copy the folder

Take gooseworks-ai/signal-detection-pipeline from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.