Agent skill

lead-discovery

Orchestrator that runs first for lead generation requests. Gathers business context via website analysis or questions, identifies competitors, builds ICP, and routes to signal skills with pre-filled inputs.

gooseworks-ai1,091★ · 1 repos on radarProfile →
claude-codecodexcursorcan modify filesMIT
Install
npx skills add gooseworks-ai/goose-skills --skill lead-discovery --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Allowed tools: BashReadWriteEditGrepGlobWebFetchWebSearch
Path: skills/lead-generation/packs/lead-gen-devtools/lead-discovery/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,091
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Lead Discovery — Orchestrator This is the entry point for all lead generation requests. Before any signal skill runs, this skill ensures the agent has enough business context to configure every downstream skill correctly. ## When to Use - User asks to "find leads", "generate leads", "do outbound", "find prospects", or any variation - User mentions lead generation without specifying a particular signal source - User asks to run a specific signal skill but the agent has no business context yet - **Always run this skill first** — before github-repo-signals, job-signals, community-signals, competitor-signals, or event-signals ## What This Skill Does 1. Learns about the user's business (via website or questions) 2. Identifies competitors, ICP, and relevant technologies 3. Generates the shared context object that all signal skills need 4. Recommends which signal sources to run and in what order 5. Hands off to individual signal skills with inputs pre-filled --- ## Phase 1: Gather Business Context ### If the user provides a website URL Scrape the website (homepage, pricing page, about page, docs if available) and extract: 1. **Product description** — one-liner of what the product does 2

What's inside
Steps it walks through
  1. When to Use
  2. What This Skill Does
  3. Phase 1: Gather Business Context
  4. If the user provides a website URL
  5. If the user does NOT have a website
  6. Phase 2: Competitor & Ecosystem Research
  7. Identify Competitors
  8. Identify Relevant GitHub Repos
  9. Identify Community Watering Holes
  10. Identify Relevant Events
  11. Phase 3: Build the Shared Context Object
  12. Phase 4: Recommend Signal Sources & Route
  13. Always recommend (free, high signal):
  14. Recommend if relevant:
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About this skill
What does the lead-discovery skill do?

Orchestrator that runs first for lead generation requests. Gathers business context via website analysis or questions, identifies competitors, builds ICP, and routes to signal skills with pre-filled inputs.

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill lead-discovery --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going