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Agent skill

Signal Detection Pipeline

by gooseworks-ai in gooseworks-ai/goose-skills

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

MITAuto-check passed

Install Signal Detection Pipeline

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill signal-detection-pipeline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills signal-detection-pipeline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lead-generation/playbooks/signal-detection-pipeline .claude/skills/signal-detection-pipeline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
signal-detection-pipeline
GitHub stars
1.2k
Used in
1 other repo
Token cost
~608 tokens
SKILL.md length
274 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

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

  • Works in 5 steps: Deduplicate companies appearing across… → Score each lead: assign signal strength… → Enrich top leads with web search for… → …
  • SKILL.md covers When to Use, Signal Sources, Combining Signals and Human Checkpoints
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Signal Detection Pipeline is an agent skill from gooseworks-ai/goose-skills. Detect buying signals from multiple sources, qualify leads, and generate outreach context

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It works with LinkedIn and Reddit. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

Example prompts

  • “/signal-detection-pipeline”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Deduplicate companies appearing across multiple signals (multi-signal = strongest leads)
  2. Score each lead: assign signal strength based on source quality and recency
  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

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Signal Detection Pipeline loads about 608 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 274 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~608

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 274 words, ~608 tokens.

Download SKILL.mdSave it as .claude/skills/signal-detection-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
signal-detection-pipeline
description
Detect buying signals from multiple sources, qualify leads, and generate outreach context
type
playbook

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

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/lead-generation/playbooks/signal-detection-pipeline of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Signal Detection Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Signal Detection Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Signal Detection Pipeline this skillgooseworks-ai/goose-skills1.2k1 repos~608Automated safety check: PassMIT
Agent ReachPanniantong/Agent-Reach95k—~1.4kAutomated safety check: PassMIT
Paid Ads AuditAgriciDaniel/claude-ads9.9k—~1.5kAutomated safety check: PassMIT
Content Trend Researcheralirezarezvani/claude-code-skill-factory8821 repos~2.1kAutomated safety check: PassMIT
Apify Multi-Platform Scraperapify/agent-skills2.4k2 repos~1.4kAutomated safety check: NotesNone
Bright Data MCPbrightdata/skills2641 repos~3.7kAutomated safety check: PassMIT

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Works with

Questions about Signal Detection Pipeline

What does Signal Detection Pipeline do?

Detect buying signals from multiple sources, qualify leads, and generate outreach context. Signal Detection Pipeline is an agent skill from gooseworks-ai/goose-skills.

How do I install Signal Detection Pipeline in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill signal-detection-pipeline -a claude-code`. Or copy the skill folder (skills/lead-generation/playbooks/signal-detection-pipeline in gooseworks-ai/goose-skills) into .claude/skills/signal-detection-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Signal Detection Pipeline in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill signal-detection-pipeline -a codex`. Or copy the skill folder (skills/lead-generation/playbooks/signal-detection-pipeline in gooseworks-ai/goose-skills) into .agents/skills/signal-detection-pipeline in your project. Codex loads it when a task matches its description.

Can I use Signal Detection Pipeline in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill signal-detection-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/signal-detection-pipeline, .gemini/skills/signal-detection-pipeline, .github/skills/signal-detection-pipeline and .opencode/skills/signal-detection-pipeline in your project.

What does Signal Detection Pipeline need to run?

SKILL.md names no scripts, command-line tools or credentials: Signal Detection Pipeline is instructions for the agent only.

Does Signal Detection Pipeline access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Signal Detection Pipeline safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Signal Detection Pipeline use?

Signal Detection Pipeline is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Signal Detection Pipeline use?

About 608 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Signal Detection Pipeline?

Skills that share tags, products or a category with Signal Detection Pipeline: Agent Reach (Panniantong/Agent-Reach, 95k stars), Paid Ads Audit (AgriciDaniel/claude-ads, 9.9k stars), Content Trend Researcher (alirezarezvani/claude-code-skill-factory, 882 stars) and Apify Multi-Platform Scraper (apify/agent-skills, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Signal Detection Pipeline?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.