Agent skill

Sales Prospecting

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

Build targeted prospect lists with verified contact information

Install Sales Prospecting

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill sales-prospecting -a claude-code

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

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills sales-prospecting --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/capabilities/sales-prospecting .claude/skills/sales-prospecting && 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/

Paste into Claude Code

Install the "sales-prospecting" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/sales-prospecting into .claude/skills/sales-prospecting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-prospecting", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/sales-prospecting

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill sales-prospecting -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills sales-prospecting --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lead-generation/capabilities/sales-prospecting .agents/skills/sales-prospecting && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "sales-prospecting" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/sales-prospecting into .agents/skills/sales-prospecting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-prospecting", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill sales-prospecting -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills sales-prospecting --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lead-generation/capabilities/sales-prospecting .cursor/skills/sales-prospecting && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "sales-prospecting" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/sales-prospecting into .cursor/skills/sales-prospecting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-prospecting", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/lead-generation/capabilities/sales-prospecting

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill sales-prospecting -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills sales-prospecting --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lead-generation/capabilities/sales-prospecting .gemini/skills/sales-prospecting && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "sales-prospecting" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/sales-prospecting into .gemini/skills/sales-prospecting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-prospecting", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills sales-prospecting

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill sales-prospecting -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lead-generation/capabilities/sales-prospecting .github/skills/sales-prospecting && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "sales-prospecting" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/sales-prospecting into .github/skills/sales-prospecting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-prospecting", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add gooseworks-ai/goose-skills --skill sales-prospecting -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install gooseworks-ai/goose-skills sales-prospecting --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lead-generation/capabilities/sales-prospecting .opencode/skills/sales-prospecting && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "sales-prospecting" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/sales-prospecting into .opencode/skills/sales-prospecting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-prospecting", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: sales-prospecting
GitHub stars: 1.2k
Used in: 1 other repo
Token cost: ~1.3k tokens
SKILL.md length: 170 words
Files: 2
Skills in repo: 273
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Build targeted prospect lists with verified contact information

Works in 6 steps: Define Target Companies → Find Decision Makers → Get All Emails for Company → …
Tasks that involve Cold outreach
SKILL.md covers Setup, Workflow, Prospecting Pipeline and Tips, plus 1 more section
Calls curl, python3 and npx; reaches api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

Sales Prospecting is an agent skill from gooseworks-ai/goose-skills. Build targeted prospect lists with verified contact information

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Sales & Support, covering Cold outreach and Lead generation. 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.

When your agent uses it

Tasks that involve Cold outreach
Tasks that involve Lead generation

Example prompts

“/sales-prospecting”

Requirements

Python 3
Node.js
A credential in GOOSEWORKS_API_KEY

Workflow steps

6 steps, taken from the step headings in SKILL.md.

Define Target Companies
Find Decision Makers
Get All Emails for Company
Find Specific Contact's Email
Verify Emails
Enrich with Company Data

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
Shell commands in SKILL.md call:
- curl
- python3
- npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- api.gooseworks.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- GOOSEWORKS_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Sales Prospecting loads about 1.3k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 170 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~20
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

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). 170 words, ~1,349 tokens.

Download SKILL.mdSave it as .claude/skills/sales-prospecting/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: sales-prospecting
description: Build targeted prospect lists with verified contact information
source: orthogonal

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/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/people-search"}'
  "searchParams": {
    "job_titles": ["CTO", "VP Engineering", "Head of Engineering"],
    "company_names": ["Stripe", "Figma", "Notion"],
    "locations": ["San Francisco"]
  }
}'

Step 3: Get All Emails for Company

Find all contacts at a domain:

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":"hunter","path":"/v2/domain-search","query":{"domain":"stripe.com"}}'

Step 4: Find Specific Contact's Email

Find email for a specific person:

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":"sixtyfour","path":"/find-email"}'
  "lead": {
    "first_name": "Sarah",
    "last_name": "Chen",
    "domain": "stripe.com"
  }
}'

Step 5: Verify Emails

Check deliverability before outreach:

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/validate-email/single","body":{"email":"sarah@stripe.com"}}'

Step 6: Enrich with Company Data

Get company context for personalization:

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":"brand-dev","path":"/v1/brand/retrieve","query":{"domain":"stripe.com"}}'

Prospecting Pipeline

bash

# 1. Find companies (Fiber)
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/company-search"}'
  "searchParams": {
    "industries": ["Software", "SaaS"],
    "employee_count_min": 50,
    "employee_count_max": 500,
    "locations": ["San Francisco", "New York"]
  }
}'

# 2. Find decision makers (Fiber)
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/people-search"}'
  "searchParams": {
    "job_titles": ["VP Sales", "Head of Sales", "CRO"],
    "company_domains": ["company1.com", "company2.com"]
  }
}'

# 3. Get emails (Hunter)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/domain-search","query":{"domain":"company1.com"}}'

# 4. Verify emails (Fiber)
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/validate-email/single","body":{"email":"lead@company.com"}}'

Tips

Target specific job titles relevant to your product
Verify all emails before adding to sequences
Personalize outreach with company context
Track email engagement for list optimization

Discover More

List all endpoints, or add a path for parameter details:

bash

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"brand-dev API endpoints"}' api show fiber
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"hunter API endpoints"}' api show sixtyfour

Example: curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \ -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ -H "Content-Type: application/json" \ -d '{"api":"olostep","path":"/v1/scrapes"}' for endpoint parameters.

Files

SKILL.md and 1 other file in skills/lead-generation/capabilities/sales-prospecting 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.

criptogus/agent-evolve-network.claude/skills/sales-prospecting

Compare with similar skills

Sales Prospecting 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.

Sales Prospecting compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Sales Prospecting this skillgooseworks-ai/goose-skills	1.2k	1 repos	~1.3k	Automated safety check: Pass	MIT	2 days ago
ProspectingCesarjoquin/Marketing-Skills	202	1 repos	~3.8k	Automated safety check: Pass	MIT	27 days ago
B2B Lead Generationminhnv0807/ai-business-skills	609	—	~1.2k	Automated safety check: Pass	MIT	29 days ago
Cold Outreach Sequence BuilderBrianRWagner/ai-marketing-claude-code-skills	441	—	~1.9k	Automated safety check: Pass	None	6 mo ago
Cold Outreachericrisco/rsc-harness	180	—	~4.1k	Automated safety check: Pass	MIT	yesterday
Lead Genericrisco/rsc-harness	180	—	~2.6k	Automated safety check: Pass	MIT	yesterday

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Questions about Sales Prospecting

What does Sales Prospecting do?

Build targeted prospect lists with verified contact information. Sales Prospecting is an agent skill from gooseworks-ai/goose-skills.

When should I use Sales Prospecting?

Sales Prospecting fits situations like: tasks that involve Cold outreach; tasks that involve Lead generation.

How do I install Sales Prospecting in Claude Code?

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

How do I install Sales Prospecting in Codex?

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

Can I use Sales Prospecting 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 sales-prospecting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sales-prospecting, .gemini/skills/sales-prospecting, .github/skills/sales-prospecting and .opencode/skills/sales-prospecting in your project.

What does Sales Prospecting need to run?

Going by SKILL.md and its folder, Sales Prospecting needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does Sales Prospecting access the network?

SKILL.md names 1 domain. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Sales Prospecting 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 Sales Prospecting use?

Sales Prospecting 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 Sales Prospecting use?

About 1.3k tokens (SKILL.md is roughly 5.4k 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 Sales Prospecting?

Skills that share tags, products or a category with Sales Prospecting: Prospecting (Cesarjoquin/Marketing-Skills, 202 stars), B2B Lead Generation (minhnv0807/ai-business-skills, 609 stars), Cold Outreach Sequence Builder (BrianRWagner/ai-marketing-claude-code-skills, 441 stars) and Cold Outreach (ericrisco/rsc-harness, 180 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sales Prospecting?

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.

Install Sales Prospecting

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Sales Prospecting - Build Quality Lead Lists

Setup

Workflow

Step 1: Define Target Companies

Step 2: Find Decision Makers

Step 3: Get All Emails for Company

Step 4: Find Specific Contact's Email

Step 5: Verify Emails

Step 6: Enrich with Company Data

Prospecting Pipeline

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