Agent skill

sales-prospecting

Build targeted prospect lists with verified contact information

gooseworks-aigithub.com/gooseworks-aiGitHub ↗
claude-codecodexcursorMIT
Install
npx skills add gooseworks-ai/goose-skills --skill sales-prospecting --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/lead-generation/capabilities/sales-prospecting/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

# Sales Prospecting - Build Quality Lead Lists ## Setup Read your credentials from ~/.gooseworks/credentials.json: ```bash export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])") export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))") ``` If ~/.gooseworks/credentials.json does not exist, tell the user to run: `npx gooseworks login` All endpoints use Bearer auth: `-H "Authorization: Bearer $GOOSEWORKS_API_KEY"` Build targeted prospect lists with verified emails and contact information. ## Workflow ### Step 1: Define Target Companies Search for companies matching your ICP: ```bash curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ -H "Content-Type: application/json" \ -d '{"api":"fiber","path":"/v1/natural-language-search/companies"}' "query": "B2B SaaS startups in San Francisco with 50-200 employees Series A or B funded" }' ``` ### Step 2: Find Decision Makers Search for people at target companies: ```bash curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/

What's inside
Steps it walks through
  1. Setup
  2. Workflow
  3. Step 1: Define Target Companies
  4. Step 2: Find Decision Makers
  5. Step 3: Get All Emails for Company
  6. Step 4: Find Specific Contact's Email
  7. Step 5: Verify Emails
  8. Step 6: Enrich with Company Data
  9. Prospecting Pipeline
  10. Tips
  11. Discover More
Ships with 1 file
  • skill.meta.json
Commands it runs
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
More from goose-skills
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About this skill
What does the sales-prospecting skill do?

Build targeted prospect lists with verified contact information

How do I install it?

Run `npx skills add gooseworks-ai/goose-skills --skill sales-prospecting --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