This skill should be used when searching for people/leads using the Prospeo Search Person API.

MITAuto-check passedBackend & APIs

Install Prospeo Search API

skills CLI
$ npx skills add growthenginenowoslawski/coldoutboundskills --skill prospeo-search-api -a claude-code

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

GitHub CLI
$ gh skill install growthenginenowoslawski/coldoutboundskills prospeo-search-api --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/growthenginenowoslawski/coldoutboundskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prospeo-search-api .claude/skills/prospeo-search-api && 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
prospeo-search-api
GitHub stars
753
Token cost
~2.4k tokens
SKILL.md length
262 words
Files
1
Skills in repo
49
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when searching for people/leads using the Prospeo Search Person API.

  • Building lead lists
  • SKILL.md covers When to Use, API Overview, Request Format and Filter Types, plus 10 more sections
  • Reaches api.prospeo.io; needs PROSPEO_API_KEY
  • Searching by job title/industry/location

What it does

Prospeo Search API is an agent skill from growthenginenowoslawski/coldoutboundskills. This skill should be used when searching for people/leads using the Prospeo Search Person API. It provides the correct API format, filter types, rate limiting patterns, and state-by-state crawling techniques to overcome the 25K result limit. Use when building lead lists, searching by job title/industry/location, or integrating with Prospeo.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Rate limiting. The repository describes itself as: Open-source Claude Code skills for cold email and outbound sales. Grade campaigns, export Prospeo searches, scrape Google Maps — all from Claude Code. The licence is MIT.

When your agent uses it

  • Building lead lists
  • Searching by job title/industry/location
  • Integrating with Prospeo

Example prompts

  • “/prospeo-search-api”

Requirements

  • A credential in PROSPEO_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 25c5d85. 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 (its code samples are typescript and bash).

    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.prospeo.io

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • PROSPEO_API_KEY

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

Context cost

Prospeo Search API loads about 2.4k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 262 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~90
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

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 growthenginenowoslawski/coldoutboundskills at commit 25c5d85, republished under its MIT licence (© growthenginenowoslawski). 262 words, ~2,366 tokens.

Download SKILL.mdSave it as .claude/skills/prospeo-search-api/SKILL.md (or your agent's skills folder).
name
prospeo-search-api
description
This skill should be used when searching for people/leads using the Prospeo Search Person API. It provides the correct API format, filter types, rate limiting patterns, and state-by-state crawling techniques to overcome the 25K result limit. Use when building lead lists, searching by job title/industry/location, or integrating with Prospeo.

Prospeo Search Person API

This skill documents how to use the Prospeo Search Person API for finding leads with filters.

When to Use

Use this skill when:

  • Searching for people/leads by job title, industry, location, company size, etc.
  • Building lead lists from Prospeo's database
  • Running large US-wide searches that need state-by-state crawling

API Overview

Endpoint: POST https://api.prospeo.io/search-person

Authentication: X-KEY header with API key

Rate Limits:

  • 2-2.5 requests/second (120-150 req/min)
  • Token bucket implementation recommended

Result Limits:

  • 25 results per page
  • 1000 pages max = 25,000 results per search
  • 1 credit per search request that returns at least 1 result

Request Format

typescript
POST /search-person
Headers: {
  'Content-Type': 'application/json',
  'X-KEY': process.env.PROSPEO_API_KEY
}
Body: {
  page: number,        // 1-1000
  filters: ProspeoSearchFilters
}

Filter Types

typescript
interface ProspeoSearchFilters {
  // Location (use "State, United States #US" format)
  person_location_search?: {
    include?: string[];  // e.g., ["California, United States #US"]
    exclude?: string[];
  };

  // Job titles
  person_job_title?: {
    include?: string[];  // e.g., ["CEO", "Founder"]
    exclude?: string[];
    match_only_exact_job_titles?: boolean;
  };

  // Company size
  company_headcount_custom?: {
    min?: number;  // e.g., 11
    max?: number;  // e.g., 500
  };

  // Industry
  company_industry?: {
    include?: string[];  // e.g., ["Information Technology"]
    exclude?: string[];
  };

  // Technology stack
  company_technology?: {
    include?: string[];  // e.g., ["Salesforce", "HubSpot"]
    exclude?: string[];
  };

  // Contact requirements
  person_contact_details?: {
    email?: string[];   // ["VERIFIED"] for verified emails only
    mobile?: string[];
    operator?: string;
  };

  // Duplicate control
  person_duplicate_control?: {
    hide_people_from_all_my_lists?: boolean;
    hide_people_already_exported_before?: boolean;
  };

  // Funding (use this for "recently raised Series X" targeting)
  company_funding?: {
    // Days since last funding round. Valid values: 90, 180, 270, 365, or null (None).
    // Maps to UI dropdown "Select last funding round date".
    funding_date?: 90 | 180 | 270 | 365 | null;

    // Last funding round amount (bucketed enum range).
    // Valid bucket values: "<100K", "100K-500K", "500K-1M", "1M-5M", "5M-10M",
    // "10M-25M", "25M-50M", "50M-100M", "100M-500M", "500M+", "Max"
    last_funding?: { min?: string; max?: string } | null;

    // Total funding raised across all rounds (same bucketed enum range as last_funding).
    total_funding?: { min?: string; max?: string };

    // Funding stage checkboxes. Valid values:
    //   "Pre seed", "Seed", "Series unknown", "Series A", "Series B",
    //   "Series C", "Series D", "Series E-J",
    //   "Grant", "Angel", "Private equity", "Debt financing",
    //   "Non equity assistance", "Post IPO equity", "Undisclosed",
    //   "Post IPO debt", "Product crowdfunding", "Equity crowdfunding",
    //   "Corporate round", "Convertible note", "Secondary market",
    //   "Initial coin offering", "Post IPO secondary"
    stage?: string[];
  };

  // Company filters
  company_name?: { include?: string[]; exclude?: string[] };
  company_domain?: { include?: string[]; exclude?: string[] };
  company_revenue_custom?: { min?: number; max?: number };
  company_founding_year?: { min?: number; max?: number };
}

Response Format

typescript
interface ProspeoSearchApiResponse {
  error: boolean;
  message?: string;
  results?: ProspeoSearchResult[];
  pagination?: {
    current_page: number;
    total_page: number;
    total_count: number;
    per_page: number;  // Always 25
  };
}

interface ProspeoSearchResult {
  person: {
    person_id: string;
    first_name?: string;
    last_name?: string;
    full_name?: string;
    current_job_title?: string;
    linkedin_url?: string;
    email?: string;
    email_status?: string;
    phone?: string;
    location?: {
      city?: string;
      state?: string;
      country?: string;
    };
    job_history?: Array<{
      title?: string;
      company_name?: string;
      current?: boolean;
    }>;
  };
  company?: {
    company_id?: string;
    name?: string;
    domain?: string;
    linkedin_url?: string;
    industry?: string;
    headcount?: number;
    headcount_range?: string;
    technologies?: string[];
    location?: { city?: string; state?: string; country?: string };
  };
}

State-by-State Crawling Pattern

For US-wide searches exceeding 25K results, split by state:

typescript
const US_STATES_BY_SIZE = [
  'California', 'Texas', 'Florida', 'New York', 'Illinois', 'Pennsylvania',
  'Ohio', 'Georgia', 'North Carolina', 'Michigan', 'New Jersey', 'Virginia',
  'Washington', 'Arizona', 'Massachusetts', 'Tennessee', 'Indiana', 'Missouri',
  'Maryland', 'Wisconsin', 'Colorado', 'Minnesota', 'South Carolina', 'Alabama',
  'Louisiana', 'Kentucky', 'Oregon', 'Oklahoma', 'Connecticut', 'Utah', 'Iowa',
  'Nevada', 'Arkansas', 'Mississippi', 'Kansas', 'New Mexico', 'Nebraska',
  'Idaho', 'West Virginia', 'Hawaii', 'New Hampshire', 'Maine', 'Montana',
  'Rhode Island', 'Delaware', 'South Dakota', 'North Dakota', 'Alaska',
  'Vermont', 'Wyoming'
];

// Format for location filter
function formatStateLocation(state: string): string {
  return `${state}, United States #US`;
}

// Replace "United States #US" with state-specific location
function createStateFilters(baseFilters, state) {
  const stateFilters = JSON.parse(JSON.stringify(baseFilters));
  stateFilters.person_location_search.include =
    stateFilters.person_location_search.include.map(loc =>
      loc === 'United States #US' ? formatStateLocation(state) : loc
    );
  return stateFilters;
}

Rate Limiting Implementation

typescript
// Token bucket rate limiter
class TokenBucket {
  private tokens: number;
  private lastRefill: number;
  private maxTokens = 5;
  private refillRate = 2.0; // tokens per second

  async acquire(): Promise<void> {
    this.refill();
    if (this.tokens >= 1) {
      this.tokens -= 1;
      return;
    }
    const waitMs = Math.ceil(((1 - this.tokens) / this.refillRate) * 1000);
    await this.sleep(Math.max(waitMs, 500));
    this.refill();
    this.tokens -= 1;
  }
}

Error Handling

typescript
// Retry on 429 with exponential backoff
if (status === 429 && retryCount < 5) {
  const backoffMs = Math.min(2000 * Math.pow(2, retryCount), 60000);
  await sleep(backoffMs);
  return searchPeople(filters, page, retryCount + 1);
}

Example: Search for Tech Executives

typescript
const filters: ProspeoSearchFilters = {
  person_location_search: {
    include: ['United States #US']
  },
  person_job_title: {
    include: ['CEO', 'CTO', 'VP Engineering', 'Head of Engineering'],
    match_only_exact_job_titles: false
  },
  company_headcount_custom: {
    min: 11,
    max: 500
  },
  company_industry: {
    include: ['Information Technology', 'Software']
  },
  person_contact_details: {
    email: ['VERIFIED']
  }
};

const service = new ProspeoSearchService();
const { results, summary } = await service.searchWithStateSplitting(filters, {
  maxTotalContacts: 10000,
  maxContactsPerState: 5000
});

Example: Recently Raised Series A

Target marketing leaders at US software companies (50–200 employees) that raised Series A in the last 180 days:

typescript
const filters: ProspeoSearchFilters = {
  person_location_search: { include: ['United States #US'] },
  person_job_title: {
    include: [
      'CMO', 'Chief Marketing Officer',
      'VP Marketing', 'Vice President Marketing',
      'Head Marketing', 'Director Marketing',
      'Growth', 'VP Growth', 'Head Growth'
    ]
  },
  company_headcount_custom: { min: 50, max: 200 },
  company_industry: {
    include: ['Software Development', 'Computer Software', 'Information Technology & Services']
  },
  company_funding: {
    funding_date: 180,
    stage: ['Series A']
  },
  person_contact_details: { email: ['VERIFIED'] }
};

Set funding_date to 90 / 180 / 270 / 365 for tighter or looser recency windows. Use null (or omit) to ignore recency and match any company currently at the given stage.

Working implementations in this repo

  • /prospeo-full-export — the search + paginated export scripts built on these filters
  • /list-expander scripts/pull.ts — the same filters, used for wide TAM pulls
  • /list-builder — orchestrates both as one lane of a larger list build

Environment Variables

bash
PROSPEO_API_KEY=your_api_key_here

What to do next

This is a reference skill — no direct next step. Used by /prospeo-full-export and /auto-research-public to build the actual search.

Return to the skill that sent you here.

  • /prospeo-full-export — the main consumer of this reference
  • /auto-research-public — also uses Prospeo search via phase-prospeo.ts

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

Files

Just SKILL.md in skills/prospeo-search-api of growthenginenowoslawski/coldoutboundskills.

Open the folder on GitHubat commit 25c5d85

Compare with similar skills

Prospeo Search API 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.

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Upstash Ratelimit TSupstash/ratelimit-js2k—~313Automated safety check: PassMIT
Repo2skillzhangyanxs/repo2skill246—~3.6kAutomated safety check: PassNone
Better Auth Security Best PracticesEpicenterHQ/epicenter4.8k—~896Automated safety check: PassCustom licence
Dload Fetch Toolphp-internal/dload105—~1.1kAutomated safety check: PassBSD-3-Clause

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Categories

Questions about Prospeo Search API

What does Prospeo Search API do?

This skill should be used when searching for people/leads using the Prospeo Search Person API. Prospeo Search API is an agent skill from growthenginenowoslawski/coldoutboundskills. This skill should be used when searching for people/leads using the Prospeo Search Person API.

When should I use Prospeo Search API?

Prospeo Search API fits situations like: building lead lists; searching by job title/industry/location; integrating with Prospeo.

How do I install Prospeo Search API in Claude Code?

Run `npx skills add growthenginenowoslawski/coldoutboundskills --skill prospeo-search-api -a claude-code`. Or copy the skill folder (skills/prospeo-search-api in growthenginenowoslawski/coldoutboundskills) into .claude/skills/prospeo-search-api in your project. Claude Code loads it when a task matches its description.

How do I install Prospeo Search API in Codex?

Run `npx skills add growthenginenowoslawski/coldoutboundskills --skill prospeo-search-api -a codex`. Or copy the skill folder (skills/prospeo-search-api in growthenginenowoslawski/coldoutboundskills) into .agents/skills/prospeo-search-api in your project. Codex loads it when a task matches its description.

Can I use Prospeo Search API 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 growthenginenowoslawski/coldoutboundskills --skill prospeo-search-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prospeo-search-api, .gemini/skills/prospeo-search-api, .github/skills/prospeo-search-api and .opencode/skills/prospeo-search-api in your project.

What does Prospeo Search API need to run?

Going by SKILL.md and its folder, Prospeo Search API needs credentials named PROSPEO_API_KEY. Our summary lists: A credential in PROSPEO_API_KEY.

Does Prospeo Search API access the network?

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

Is Prospeo Search API 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 Prospeo Search API use?

Prospeo Search API 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 Prospeo Search API use?

About 2.4k tokens (SKILL.md is roughly 9.5k 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 Prospeo Search API?

Skills that share tags, products or a category with Prospeo Search API: Add Hosted Key (simstudioai/sim, 30k stars), Upstash Ratelimit TS (upstash/ratelimit-js, 2k stars), Repo2skill (zhangyanxs/repo2skill, 246 stars) and Better Auth Security Best Practices (EpicenterHQ/epicenter, 4.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prospeo Search API?

growthenginenowoslawski (a GitHub user) maintains it in growthenginenowoslawski/coldoutboundskills, which has 753 GitHub stars. The repository holds 49 skills in this directory. The repository was last updated on October 5, 2026.

Source: growthenginenowoslawski/coldoutboundskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.