Export your entire Prospeo people search to CSV. An agent skill from growthenginenowoslawski/coldoutboundskills.

MITAuto-check passedBackend & APIs

Install Prospeo Full Export

skills CLI
$ npx skills add growthenginenowoslawski/coldoutboundskills --skill prospeo-full-export -a claude-code

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

GitHub CLI
$ gh skill install growthenginenowoslawski/coldoutboundskills prospeo-full-export --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-full-export .claude/skills/prospeo-full-export && 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-full-export
GitHub stars
753
Token cost
~5k tokens
SKILL.md length
1,248 words
Files
1
Skills in repo
49
Repo updated
First seen
Licence
MIT

At a glance

Export your entire Prospeo people search to CSV. An agent skill from growthenginenowoslawski/coldoutboundskills.

  • Works in 6 steps: Create a Prospeo Account → Get Your API Key → Set Your API Key → …
  • Extract every result via the API — even searches over 25K
  • SKILL.md covers Required step: Qualify with…, What This Does, Setup (First Time Only) and How to Use, plus 8 more sections
  • Calls npm; reaches api.prospeo.io and linkedin.com; needs PROSPEO_API_KEY and API_KEY

What it does

Prospeo Full Export is an agent skill from growthenginenowoslawski/coldoutboundskills. Export your entire Prospeo people search to CSV. Build filters in Prospeo's UI, then use this skill to extract every result via the API — even searches over 25K. Handles pagination, rate limiting, deduplication, and state-by-state splitting automatically. Pair with /icp-prompt-builder on a 50-person sample to tune a qualification prompt BEFORE exporting 25K.

Its SKILL.md is about 5k 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 OSINT, Rate limiting and Data cleaning. 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

  • Extract every result via the API — even searches over 25K
  • Tasks that involve OSINT
  • Tasks that involve Rate limiting

Example prompts

  • “/prospeo-full-export”

Requirements

  • A credential in PROSPEO_API_KEY
  • A credential in API_KEY

Workflow steps

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

  1. Create a Prospeo Account
  2. Get Your API Key
  3. Set Your API Key
  4. Build Your Search in Prospeo's UI
  5. Tell Claude Your Filters
  6. Claude Runs the Export

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

    Shell commands in SKILL.md call:

    • npm

    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
    • linkedin.com

    Also links to:

    • 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
    • API_KEY

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

Context cost

Prospeo Full Export loads about 5k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 1,248 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~5k

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). 1,248 words, ~5,003 tokens.

Download SKILL.mdSave it as .claude/skills/prospeo-full-export/SKILL.md (or your agent's skills folder).
name
prospeo-full-export
description
Export your entire Prospeo people search to CSV. Build filters in Prospeo's UI, then use this skill to extract every result via the API — even searches over 25K. Handles pagination, rate limiting, deduplication, and state-by-state splitting automatically. Pair with /icp-prompt-builder on a 50-person sample to tune a qualification prompt BEFORE exporting 25K.

Prospeo Full Search Export

Extract your entire Prospeo people search to a CSV file. Build your search in Prospeo's UI, then let Claude pull every single result via the API — even if the search has more than 25,000 results.

Required step: Qualify with /icp-prompt-builder (do not skip)

Before exporting more than 500 contacts, run Prospeo on a 50-contact sample, then invoke /icp-prompt-builder to tune a qualification prompt in 3-5 rounds of 10 (with your approval each round). Apply the tuned prompt to the full export to filter out bad fits.

Why required: email enrichment downstream costs $0.05-$0.15 per person. A 25K export that's 40% wrong-fit wastes $500-$1,500 on email-finding that goes nowhere. The ICP prompt builder takes 10-15 min and saves that cost 40-70% of the time.

Safe skip: only if your Prospeo filter is already extremely tight (e.g., 5 exact titles + 1 industry + narrow headcount) AND you've run the same filter successfully before. Even then, run /icp-prompt-builder on 10 samples as a sanity check — it's nearly free to confirm.

What This Does

  1. You build a search in Prospeo's web UI (filters for title, location, industry, company size, etc.)
  2. You tell Claude what filters you used
  3. Claude translates those filters into Prospeo API calls
  4. Claude paginates through every page of results and exports to CSV
  5. For large US searches (25K+), Claude automatically splits by state to get everything

Setup (First Time Only)

Step 1: Create a Prospeo Account
  1. Go to prospeo.io and sign up
  2. Choose a plan that includes the Search Person API (most paid plans do)
  3. Each API request that returns results costs 1 credit and returns 25 contacts
Step 2: Get Your API Key
  1. Log into Prospeo
  2. Go to Settings > API (or visit prospeo.io/app/settings/api)
  3. Copy your API key
Step 3: Set Your API Key

Set it as an environment variable so Claude can use it:

bash
# Add to your shell profile (~/.zshrc or ~/.bashrc)
export PROSPEO_API_KEY="your_api_key_here"

Then restart your terminal or run source ~/.zshrc.

Security note: Never paste your API key directly into a script file. Always use environment variables.


How to Use

Step 1: Build Your Search in Prospeo's UI

Go to prospeo.io/app/search and use the filters to build your search. The UI lets you filter by:

  • Job title (e.g., "CEO", "VP Sales", "Head of Marketing")
  • Location (e.g., "United States", "California", "New York")
  • Company industry (e.g., "Information Technology", "Healthcare")
  • Company headcount (e.g., 11-500 employees)
  • Company technology (e.g., "Salesforce", "HubSpot")
  • Revenue range
  • Contact details (has verified email, has phone number)

Note the total result count shown in the UI — you'll need this to estimate credits.

Step 2: Tell Claude Your Filters

Just describe what you filtered for. Examples:

"I searched for CEOs and CTOs at companies with 11-500 employees in the US, in the Information Technology industry, with verified emails."

"I'm looking for VP of Sales and Head of Sales at SaaS companies in California with 50-200 employees."

"I need all Marketing Directors in the US at companies using HubSpot, 20-1000 headcount."

Step 3: Claude Runs the Export

Claude will:

  1. Confirm the filters and estimated credit cost
  2. Create a TypeScript script
  3. Run it to paginate through all results
  4. Export everything to a CSV file in your current directory

Filter Reference

These are the exact filter names the Prospeo API accepts. When you describe your search, Claude maps your description to these:

UI FilterAPI Filter KeyFormat
Job Titleperson_job_title{ include: ["CEO", "CTO"], exclude: ["Intern"] }
Locationperson_location_search{ include: ["California, United States #US"] }
Industrycompany_industry{ include: ["Information Technology"] }
Headcountcompany_headcount_custom{ min: 11, max: 500 }
Technologycompany_technology{ include: ["Salesforce", "HubSpot"] }
Revenuecompany_revenue_custom{ min: 1000000, max: 50000000 }
Founded Yearcompany_founding_year{ min: 2010, max: 2025 }
Company Namecompany_name{ include: ["Acme"], exclude: ["Test"] }
Company Domaincompany_domain{ include: ["acme.com"] }
Has Emailperson_contact_details{ email: ["VERIFIED"] }
Has Phoneperson_contact_details{ mobile: ["TRUE"] }
Exact Title Matchperson_job_title{ include: [...], match_only_exact_job_titles: true }
Location Format

Locations must follow this exact format:

  • Country: "United States #US", "United Kingdom #GB", "Canada #CA"
  • State: "California, United States #US", "Texas, United States #US"
  • City: "San Francisco, California, United States #US"
Headcount Ranges (Common Presets)
Labelminmax
1-10110
11-501150
51-20051200
201-500201500
501-10005011000
1001-500010015000
5001-10000500110000
10001+10001(omit max)

API Details

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

Auth: X-KEY header with your API key

Rate Limit: 2 requests per second (the script handles this automatically)

Pagination: 25 results per page, max 1000 pages = 25,000 results per search

Credits: 1 credit per request that returns at least 1 result. A 25,000-result search costs ~1,000 credits.

Show full SKILL.md (495 more words)Show less
Request Format
typescript
const response = await fetch('https://api.prospeo.io/search-person', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-KEY': process.env.PROSPEO_API_KEY!,
  },
  body: JSON.stringify({
    page: 1,  // 1-1000
    filters: {
      person_job_title: { include: ['CEO', 'CTO'] },
      person_location_search: { include: ['United States #US'] },
      company_headcount_custom: { min: 11, max: 500 },
      company_industry: { include: ['Information Technology'] },
      person_contact_details: { email: ['VERIFIED'] },
    },
  }),
});
Response Format
typescript
{
  error: false,
  results: [
    {
      person: {
        person_id: "abc123",
        first_name: "Jane",
        last_name: "Smith",
        full_name: "Jane Smith",
        current_job_title: "CEO",
        linkedin_url: "https://linkedin.com/in/janesmith",
        email: "jane@acme.com",
        email_status: "VERIFIED",
        phone: "+14155551234",
        location: { city: "San Francisco", state: "California", country: "United States" }
      },
      company: {
        name: "Acme Corp",
        domain: "acme.com",
        linkedin_url: "https://linkedin.com/company/acme",
        industry: "Information Technology",
        headcount: 150,
        headcount_range: "51-200",
        technologies: ["Salesforce", "HubSpot"],
        location: { city: "San Francisco", state: "California", country: "United States" }
      }
    }
  ],
  pagination: {
    current_page: 1,
    total_page: 400,
    total_count: 10000,
    per_page: 25
  }
}

The 25K Limit: State-by-State Splitting

Prospeo caps any single search at 25,000 results (1,000 pages x 25 per page). If your US-wide search has more than 25K results, the script automatically splits it into 50 separate state-level searches.

How it works:

  1. Run the search once to check total_count
  2. If > 20,000, switch to state-by-state mode
  3. Replace "United States #US" with each state (e.g., "California, United States #US")
  4. Paginate through each state's results
  5. Deduplicate across states (by LinkedIn URL)

This means you can extract hundreds of thousands of results from a single search definition.

US States (ordered by population for efficiency)
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

Script Template

When Claude generates the export script, it follows this pattern:

typescript
import { writeFileSync } from 'fs';

// --- Config ---
const API_KEY = process.env.PROSPEO_API_KEY;
if (!API_KEY) {
  console.error('Set PROSPEO_API_KEY environment variable first.');
  process.exit(1);
}

const RATE_LIMIT_MS = 500; // 2 requests/sec
const MAX_RETRIES = 5;

// --- Types ---
interface ProspeoFilters {
  person_job_title?: { include?: string[]; exclude?: string[]; match_only_exact_job_titles?: boolean };
  person_location_search?: { include?: string[]; exclude?: string[] };
  company_headcount_custom?: { min?: number; max?: number };
  company_industry?: { include?: string[]; exclude?: string[] };
  company_technology?: { include?: string[]; exclude?: string[] };
  company_revenue_custom?: { min?: number; max?: number };
  company_founding_year?: { min?: number; max?: number };
  company_name?: { include?: string[]; exclude?: string[] };
  company_domain?: { include?: string[]; exclude?: string[] };
  person_contact_details?: { email?: string[]; mobile?: string[]; operator?: string };
}

// --- Rate-limited fetch ---
const sleep = (ms: number) => new Promise(r => setTimeout(r, ms));

async function searchPage(filters: ProspeoFilters, page: number, retries = 0): Promise<any> {
  await sleep(RATE_LIMIT_MS);

  const res = await fetch('https://api.prospeo.io/search-person', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json', 'X-KEY': API_KEY! },
    body: JSON.stringify({ page, filters }),
  });

  if (res.status === 429 && retries < MAX_RETRIES) {
    const backoff = Math.min(2000 * Math.pow(2, retries), 60000);
    console.log(`  Rate limited, waiting ${backoff / 1000}s...`);
    await sleep(backoff);
    return searchPage(filters, page, retries + 1);
  }

  if (!res.ok) throw new Error(`API error: ${res.status} ${res.statusText}`);
  return res.json();
}

// --- Deduplication ---
const seenLinkedIn = new Set<string>();
const seenEmail = new Set<string>();

function isDuplicate(person: any): boolean {
  const li = person.linkedin_url;
  const em = person.email;
  if (li && seenLinkedIn.has(li)) return true;
  if (em && seenEmail.has(em)) return true;
  if (li) seenLinkedIn.add(li);
  if (em) seenEmail.add(em);
  return false;
}

// --- CSV helpers ---
function escapeCSV(val: any): string {
  if (val == null) return '';
  const s = String(val);
  return s.includes(',') || s.includes('"') || s.includes('\n')
    ? `"${s.replace(/"/g, '""')}"` : s;
}

function resultToRow(r: any): string[] {
  const p = r.person || {};
  const c = r.company || {};
  return [
    p.first_name, p.last_name, p.full_name, p.current_job_title,
    p.email, p.email_status, p.phone, p.linkedin_url,
    p.location?.city, p.location?.state, p.location?.country,
    c.name, c.domain, c.linkedin_url, c.industry,
    c.headcount, c.headcount_range,
    (c.technologies || []).join('; '),
    c.location?.city, c.location?.state, c.location?.country,
  ];
}

const CSV_HEADERS = [
  'first_name', 'last_name', 'full_name', 'job_title',
  'email', 'email_status', 'phone', 'linkedin_url',
  'person_city', 'person_state', 'person_country',
  'company_name', 'company_domain', 'company_linkedin', 'company_industry',
  'company_headcount', 'company_headcount_range',
  'company_technologies',
  'company_city', 'company_state', 'company_country',
];

// --- Main export ---
async function exportSearch(filters: ProspeoFilters, outputFile: string, maxResults?: number) {
  console.log('Running initial search to check result count...');
  const first = await searchPage(filters, 1);

  if (first.error) {
    console.error('API error:', first.message);
    process.exit(1);
  }

  const totalCount = first.pagination?.total_count || 0;
  const totalPages = first.pagination?.total_page || 0;
  console.log(`Found ${totalCount.toLocaleString()} total results (${totalPages} pages)`);

  // Check if we need state-by-state splitting
  const needsSplit = totalCount > 20000
    && filters.person_location_search?.include?.some(l => l === 'United States #US');

  if (needsSplit) {
    console.log('Search exceeds 20K — switching to state-by-state mode...');
    await exportByState(filters, outputFile, maxResults);
    return;
  }

  // Simple pagination
  const rows: string[][] = [];
  const pagesToFetch = maxResults ? Math.min(Math.ceil(maxResults / 25), totalPages) : totalPages;
  const creditsEstimate = pagesToFetch;
  console.log(`Will fetch ${pagesToFetch} pages (~${creditsEstimate} credits)`);

  // Process page 1 results we already have
  for (const r of first.results || []) {
    if (!isDuplicate(r.person)) rows.push(resultToRow(r));
  }
  console.log(`  Page 1/${pagesToFetch} — ${rows.length} contacts`);

  for (let page = 2; page <= pagesToFetch; page++) {
    if (maxResults && rows.length >= maxResults) break;
    const data = await searchPage(filters, page);
    for (const r of data.results || []) {
      if (!isDuplicate(r.person)) rows.push(resultToRow(r));
    }
    if (page % 50 === 0 || page === pagesToFetch) {
      console.log(`  Page ${page}/${pagesToFetch} — ${rows.length} contacts so far`);
    }
  }

  writeCSV(outputFile, rows);
}

// --- State-by-state export ---
const US_STATES = [
  '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',
];

async function exportByState(filters: ProspeoFilters, outputFile: string, maxResults?: number) {
  const rows: string[][] = [];

  for (let i = 0; i < US_STATES.length; i++) {
    if (maxResults && rows.length >= maxResults) break;

    const state = US_STATES[i];
    const stateFilters = JSON.parse(JSON.stringify(filters));
    stateFilters.person_location_search.include =
      stateFilters.person_location_search.include.map((loc: string) =>
        loc === 'United States #US' ? `${state}, United States #US` : loc
      );

    const first = await searchPage(stateFilters, 1);
    const stateTotal = first.pagination?.total_count || 0;
    const statePages = first.pagination?.total_page || 0;

    if (stateTotal === 0) {
      console.log(`  [${i + 1}/50] ${state}: 0 results, skipping`);
      continue;
    }

    // Process page 1
    for (const r of first.results || []) {
      if (!isDuplicate(r.person)) rows.push(resultToRow(r));
    }

    // Paginate remaining
    for (let page = 2; page <= statePages; page++) {
      if (maxResults && rows.length >= maxResults) break;
      const data = await searchPage(stateFilters, page);
      for (const r of data.results || []) {
        if (!isDuplicate(r.person)) rows.push(resultToRow(r));
      }
    }

    console.log(`  [${i + 1}/50] ${state}: ${stateTotal.toLocaleString()} results — ${rows.length.toLocaleString()} total contacts`);
  }

  writeCSV(outputFile, rows);
}

// --- Write CSV ---
function writeCSV(outputFile: string, rows: string[][]) {
  const lines = [CSV_HEADERS.join(',')];
  for (const row of rows) {
    lines.push(row.map(escapeCSV).join(','));
  }
  writeFileSync(outputFile, lines.join('\n'), 'utf-8');
  console.log(`\nExport complete!`);
  console.log(`  File: ${outputFile}`);
  console.log(`  Contacts: ${rows.length.toLocaleString()}`);
  console.log(`  Credits used: ~${seenLinkedIn.size + seenEmail.size > 0 ? 'see above' : rows.length / 25}`);
}

// --- Entry point ---
// Claude will fill in the filters based on your search description
const filters: ProspeoFilters = {
  // FILTERS_GO_HERE
};

const outputFile = 'prospeo-export.csv';
exportSearch(filters, outputFile);

Credit Cost Estimation

Before running, Claude will estimate the credit cost:

Total ResultsPagesCreditsApproximate Cost (varies by plan)
1,0004040~$2
5,000200200~$10
25,0001,0001,000~$50
100,000 (state split)~4,000~4,000~$200

Claude will always tell you the estimated cost and ask for confirmation before running the full export.


Example Conversations

Simple search:

"Export all CEOs at 11-50 person companies in California in the SaaS industry with verified emails."

Large US-wide search:

"I need every VP of Sales and Head of Sales in the US at companies with 50-500 employees. The Prospeo UI shows 87,000 results."

With exclusions:

"Marketing Directors in the US, exclude staffing and recruiting industries, 20-200 headcount, must have verified email."

With technology filter:

"CTOs at companies using Shopify in the US, any company size."


Troubleshooting

"Set PROSPEO_API_KEY environment variable first"

Your API key isn't set. Run: export PROSPEO_API_KEY="your_key" in your terminal.

"API error: 401"

Your API key is invalid. Check it at prospeo.io/app/settings/api.

"API error: 402"

You're out of credits. Top up your Prospeo account.

"API error: 429"

Rate limited. The script handles this automatically with exponential backoff. If it persists, you're making too many concurrent requests — only run one export at a time.

Results seem low
  • Check that your location format is correct (must include #US, #GB, etc.)
  • Broaden your title filters — Prospeo does fuzzy matching by default
  • Remove the person_contact_details filter to see all results (not just those with verified emails)
Duplicates across states

The script deduplicates by LinkedIn URL automatically. Some contacts may appear in multiple state searches if they've relocated — the dedup handles this.


Requirements

  • Node.js 18+ (for native fetch support)
  • TypeScript (npm install -g tsx to run .ts files directly)
  • A Prospeo account with API credits

No other dependencies needed — the script uses only built-in Node.js modules.


What to do next

Run /icp-prompt-builder on a 50-contact sample (required step above). Apply the tuned prompt to your full export, then /list-quality-scorecard to grade.

Next: /campaign-copywriting → /smartlead-campaign-upload-public.

Or wait: if Prospeo returned <500 contacts for your filter, your ICP may be too narrow. Broaden titles (add synonyms) or industries before scaling.

  • /icp-prompt-builder — required qualification pass before scaling
  • /list-quality-scorecard — grade the filtered list
  • /campaign-copywriting — write the emails
  • /smartlead-campaign-upload-public — launch in DRAFT

© 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-full-export of growthenginenowoslawski/coldoutboundskills.

Open the folder on GitHubat commit 25c5d85

Compare with similar skills

Prospeo Full Export 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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    Creates, edits and analyzes spreadsheets (.xlsx, .xlsm, .csv, .tsv) with openpyxl and pandas, writing live formulas and recalculating to confirm zero formula errors.

    180k GitHub starsUsed in 4 repos~2.1k tokens
    Documents & OfficeAuto-check passed
  • XLSX Spreadsheet Toolkit

    XiaomiMiMo/MiMo-Code

    Builds, edits, cleans, recalculates and reads Excel workbooks and CSV files with openpyxl and pandas, plus LibreOffice for recalculation and PDF export.

    14k GitHub stars~2.9k tokensUpdated 2 days ago
    Documents & OfficeAuto-check passed
  • API Design Safety

    doccker/cc-use-exp

    当设计或修改 REST API 响应结构、处理 API 返回值,或生成 Excel/CSV/PDF/对账文件等下游产物时触发。防止 API 设计缺陷导致的字段错位、类型歧义,以及生成产物时关键字段缺失但静默成功的问题。

    1.1k GitHub stars~2.6k tokensUpdated 1 mo ago
    Backend & APIsAuto-check passed
  • Data Cleanup

    sgharlow/claude-code-recipes

    Clean and standardize messy tabular data (CSV, spreadsheet paste, system exports) into an analysis-ready dataset — consistent dates and names, typed columns, duplicates identified, missing values…

    389 GitHub stars~566 tokensUpdated 2 mo ago
    Documents & OfficeAuto-check passed

More from growthenginenowoslawski/coldoutboundskills

All 49 skills in this repo
  • Email Deliverability Audit

    growthenginenowoslawski/coldoutboundskills

    Diagnostic audit for a running cold email program. An agent skill from growthenginenowoslawski/coldoutboundskills.

    753 GitHub stars~3.4k tokensUpdated 5 days ago
    Auto-check passed
  • Icp Onboarding

    growthenginenowoslawski/coldoutboundskills

    Conversational intake for cold email campaigns. An agent skill from growthenginenowoslawski/coldoutboundskills.

    753 GitHub stars~1.9k tokensUpdated 5 days ago
    Auto-check passed
  • List Builder

    growthenginenowoslawski/coldoutboundskills

    META skill — build the largest possible qualified lead list for any request, end to end.

    753 GitHub stars~4.7k tokensUpdated 5 days ago
    Auto-check: notes
  • Auto Research Public

    growthenginenowoslawski/coldoutboundskills

    Autonomous cold email campaign launcher. An agent skill from growthenginenowoslawski/coldoutboundskills.

    753 GitHub stars~2.9k tokensUpdated 5 days ago
    Auto-check passed
  • Blitz List Builder

    growthenginenowoslawski/coldoutboundskills

    Use the Blitz API to find decision-makers at specific companies when you already have a list of company domains.

    753 GitHub stars~2k tokensUpdated 5 days ago
    Auto-check passed
  • Deliverability Test Public

    growthenginenowoslawski/coldoutboundskills

    Compare reply rates, bounce rates, and positive reply rates broken down by inbox type (SMTP / Gmail / Outlook) for a Smartlead account.

    753 GitHub stars~1k tokensUpdated 5 days ago
    Auto-check passed

Questions about Prospeo Full Export

What does Prospeo Full Export do?

Export your entire Prospeo people search to CSV. An agent skill from growthenginenowoslawski/coldoutboundskills. Prospeo Full Export is an agent skill from growthenginenowoslawski/coldoutboundskills. Export your entire Prospeo people search to CSV.

When should I use Prospeo Full Export?

Prospeo Full Export fits situations like: extract every result via the API — even searches over 25K; tasks that involve OSINT; tasks that involve Rate limiting.

How do I install Prospeo Full Export in Claude Code?

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

How do I install Prospeo Full Export in Codex?

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

Can I use Prospeo Full Export 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-full-export -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-full-export, .gemini/skills/prospeo-full-export, .github/skills/prospeo-full-export and .opencode/skills/prospeo-full-export in your project.

What does Prospeo Full Export need to run?

Going by SKILL.md and its folder, Prospeo Full Export needs the command-line tools its instructions call (npm) and credentials named PROSPEO_API_KEY and API_KEY. Our summary lists: A credential in PROSPEO_API_KEY; A credential in API_KEY.

Does Prospeo Full Export access the network?

SKILL.md names 3 domains. In commands or code: api.prospeo.io and linkedin.com; the agent is likely to contact these when it follows the instructions. As links in the text: prospeo.io. This is read from the text; nothing was executed.

Is Prospeo Full Export 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 Full Export use?

Prospeo Full Export 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 Full Export use?

About 5k tokens (SKILL.md is roughly 20k 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 Full Export?

Skills that share tags, products or a category with Prospeo Full Export: AWS Step Functions (aws/agent-toolkit-for-aws, 2.8k stars), Education Cloud Course Catalog Migrate (forcedotcom/sf-skills, 1.1k stars), Excel Spreadsheet Creation and Editing (anthropics/skills, 180k stars) and XLSX Spreadsheet Toolkit (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prospeo Full Export?

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.