Linkedin Comment To Outreach
gethouston/houston
Turn a single LinkedIn post URL into a paused cold email campaign in Instantly.
Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact).
$ npx skills add gooseworks-ai/goose-skills --skill apollo-lead-finder -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills apollo-lead-finder --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/apollo-lead-finder .claude/skills/apollo-lead-finder && rm -rf skills-srcUse ~/.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/
Install the "apollo-lead-finder" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/apollo-lead-finder into .claude/skills/apollo-lead-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-lead-finder", 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 install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/apollo-lead-finderType 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.
$ npx skills add gooseworks-ai/goose-skills --skill apollo-lead-finder -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills apollo-lead-finder --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/apollo-lead-finder .agents/skills/apollo-lead-finder && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "apollo-lead-finder" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/apollo-lead-finder into .agents/skills/apollo-lead-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-lead-finder", 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.
$ npx skills add gooseworks-ai/goose-skills --skill apollo-lead-finder -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills apollo-lead-finder --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/apollo-lead-finder .cursor/skills/apollo-lead-finder && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "apollo-lead-finder" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/apollo-lead-finder into .cursor/skills/apollo-lead-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-lead-finder", 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 https://github.com/gooseworks-ai/goose-skills.git --path skills/lead-generation/capabilities/apollo-lead-finder--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill apollo-lead-finder -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills apollo-lead-finder --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/apollo-lead-finder .gemini/skills/apollo-lead-finder && rm -rf skills-srcUse ~/.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/
Install the "apollo-lead-finder" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/apollo-lead-finder into .gemini/skills/apollo-lead-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-lead-finder", 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.
$ gh skill install gooseworks-ai/goose-skills apollo-lead-finderInstalls 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).
$ npx skills add gooseworks-ai/goose-skills --skill apollo-lead-finder -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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/apollo-lead-finder .github/skills/apollo-lead-finder && rm -rf skills-srcUse ~/.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/
Install the "apollo-lead-finder" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/apollo-lead-finder into .github/skills/apollo-lead-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-lead-finder", 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.
$ npx skills add gooseworks-ai/goose-skills --skill apollo-lead-finder -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills apollo-lead-finder --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/apollo-lead-finder .opencode/skills/apollo-lead-finder && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "apollo-lead-finder" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/apollo-lead-finder into .opencode/skills/apollo-lead-finder/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "apollo-lead-finder", 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.
apollo-lead-finderTwo-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact).
Apollo Lead Finder is an agent skill from gooseworks-ai/goose-skills. Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact). Creates Apollo lists. Deduplicates against existing contacts by LinkedIn URL.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/apollo_client.py` and `skill.meta.json`).
It sits in Backend & APIs, covering GraphQL, OSINT and Cold outreach. It works with LinkedIn. 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.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.apollo.ioFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
APOLLO_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Apollo Lead Finder loads about 2k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 931 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
o Settings > Integrations > API. Add to `.env`: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); the scripts in this folder are not scanned.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 931 words, ~1,986 tokens.
.claude/skills/apollo-lead-finder/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Two-phase Apollo.io prospecting: free People Search for lead discovery, then selective paid enrichment to reveal emails and phone numbers. Creates Apollo lists and contacts.
Key advantage: Apollo People Search is free (no credits consumed). Credits are only spent when enriching contacts to reveal email/phone. This lets you search tens of thousands of leads at zero cost, review results, then selectively enrich only the best matches.
Get your API key from Apollo.io Settings > Integrations > API. Add to .env:
APOLLO_API_KEY=your-api-key-hereThat's it — one env var.
Ask the user these questions to build the Apollo filter config:
Build the config JSON with Apollo's filter format:
{
"client_name": "example-client",
"search_config_name": "vp-sales-us-midmarket",
"icp_segment": "sales-leaders",
"apollo_filters": {
"person_titles": ["VP of Sales", "Head of Sales", "Director of Sales"],
"person_seniority": ["vp", "director"],
"person_locations": ["United States"],
"organization_num_employees_ranges": ["51,200", "201,500", "501,1000"],
"q_organization_keyword_tags": ["SaaS", "Software"]
},
"enrichment_filters": {
"exclude_titles_containing": ["intern", "assistant"]
},
"apollo_list_name_prefix": "example-sales-leaders",
"create_apollo_list": true,
"mode": "standard",
"max_pages": 50
}Available Apollo search filters:
person_titles — job title keywords (array of strings)person_seniority — seniority levels: owner, founder, c_suite, partner, vp, director, manager, senior, entryperson_locations — geographic locations (array of strings)organization_num_employees_ranges — employee count ranges, format "min,max" (e.g., "51,200")q_organization_keyword_tags — company keyword tags (e.g., "SaaS", "Software")person_not_titles — titles to exclude (array of strings)q_organization_name — organization name searchorganization_locations — company HQ locationsApollo's api_search endpoint returns limited preview data: Apollo person ID, first name, obfuscated last name, title, company name, and boolean flags (has_email, has_phone). No LinkedIn URLs, emails, or full names — those require enrichment.
Step 1: Build Apollo search payload — Map config filters to Apollo People Search format.
Step 2: Search page 1 — Get first 100 results + total_entries for total count.
Step 3: Paginate — Fetch remaining pages (100 per page, up to mode cap). Apply title filters.
Step 4: Collect Apollo person IDs — Store the Apollo person IDs from search results for the enrich phase.
Step 5: Present preview — Show the user a sample of search results (first name, title, company) and total count. Ask for approval before enriching.
| Parameter | Test | Standard | Full |
|---|---|---|---|
| Max pages | 1 | 50 | 500 |
| Max results | 100 | 5,000 | 50,000 |
| Search credits | 0 | 0 | 0 |
Cost: FREE. People Search does not consume Apollo credits.
CRITICAL: Never export leads without explicit user approval.
The search phase is free. The enrich phase costs credits.
Required flow:
Use the Apollo Bulk People Match API to enrich selected leads from Phase 1.
Step 1: Load search manifest — Read the manifest JSON saved by the search phase. Contains Apollo person IDs.
Step 2: Load existing contacts for dedup — If the user has a CSV of existing contacts or a previous export, load LinkedIn URLs for dedup. If no existing data, skip dedup.
Step 3: Confirm credits — Display lead count and credit cost estimate. Wait for confirmation.
Step 4: Bulk enrich — Call /people/bulk_match with Apollo person IDs in batches of 10. Each match costs 1 credit. Returns full data: email, phone, LinkedIn URL, full name, location, company details.
Step 5: Dedup against existing contacts — Filter out leads whose LinkedIn URLs already exist in the user's contact list.
Step 6: Present results to user — Show enriched sample leads (names, titles, companies, email coverage) and ask for explicit approval before writing to the database.
Step 7: Export results — Only after user approval. Save enriched leads as CSV to the current working directory, or wherever the user prefers.
| Parameter | Test | Standard | Full |
|---|---|---|---|
| Max enrichments | 10 | 500 | 2,500 |
| Credits used | 10 | 500 | 2,500 |
Cost: 1 credit per contact enriched. Always run search first, review results, then selectively enrich.
Present results:
Common adjustments:
Trigger phrases:
POST https://api.apollo.io/api/v1/mixed_people/api_search — FREE, returns Apollo IDs + preview data (first name, title, org name, boolean flags). No LinkedIn URLs or emails.POST https://api.apollo.io/api/v1/people/match — 1 credit, reveals email/phonePOST https://api.apollo.io/api/v1/people/bulk_match — up to 10 per request, 1 credit eachPOST https://api.apollo.io/api/v1/labels — create a named listPOST https://api.apollo.io/api/v1/contacts — add person to Apollo CRM + optional listx-api-key: {APOLLO_API_KEY} header on all requestspage param (1-indexed), per_page max 100© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts) in skills/lead-generation/capabilities/apollo-lead-finder of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
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.
Apollo Lead Finder 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Apollo Lead Finder this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~2k | Automated safety check: Notes | MIT | |
| Linkedin Comment To Outreachgethouston/houston | 118 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Lead Intelligenceaffaan-m/ECC | 276k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Lead IntelligenceaAAaqwq/AGI-Super-Team | 105 | 3 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Apollo Core Workflow Ajeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Sales OsromangojiberryAI/gojiberryai-sales-os | 139 | — | ~2k | Automated safety check: Pass | MIT |
gethouston/houston
Turn a single LinkedIn post URL into a paused cold email campaign in Instantly.
affaan-m/ECC
AI原生的潜在客户情报与外联管道。取代Apollo、Clay和ZoomInfo,提供基于代理的信号评分、相互排名、温暖路径发现、来源驱动的语音建模以及跨电子邮件、LinkedIn和X的渠道特定外联。当用户想要查找、筛选并联系高价值联系人时使用。
aAAaqwq/AGI-Super-Team
AI-native lead intelligence and outreach pipeline. An agent skill from aAAaqwq/AGI-Super-Team.
jeremylongshore/tons-of-skills-marketplace
Implement Apollo.io lead search and enrichment workflow. An agent skill from jeremylongshore/tons-of-skills-marketplace.
romangojiberryAI/gojiberryai-sales-os
A complete outbound sales department in one skill. An agent skill from romangojiberryAI/gojiberryai-sales-os.
tech-leads-club/agent-skills
When the user wants to sell through social media, optimize LinkedIn for sales, build DM sequences, or convert content engagement into pipeline.
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Works with
Categories
Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact). Apollo Lead Finder is an agent skill from gooseworks-ai/goose-skills.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact).
Apollo Lead Finder fits situations like: tasks that involve GraphQL; tasks that involve OSINT; tasks that involve Cold outreach.
Run `npx skills add gooseworks-ai/goose-skills --skill apollo-lead-finder -a claude-code`. Or copy the skill folder (skills/lead-generation/capabilities/apollo-lead-finder in gooseworks-ai/goose-skills) into .claude/skills/apollo-lead-finder in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill apollo-lead-finder -a codex`. Or copy the skill folder (skills/lead-generation/capabilities/apollo-lead-finder in gooseworks-ai/goose-skills) into .agents/skills/apollo-lead-finder in your project. Codex loads it when a task matches its description.
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 apollo-lead-finder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/apollo-lead-finder, .gemini/skills/apollo-lead-finder, .github/skills/apollo-lead-finder and .opencode/skills/apollo-lead-finder in your project.
Going by SKILL.md and its folder, Apollo Lead Finder needs Python for the scripts in its folder and credentials named APOLLO_API_KEY. Our summary lists: Python 3; A credential in APOLLO_API_KEY.
SKILL.md names 1 domain. In commands or code: api.apollo.io; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Apollo Lead Finder is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Apollo Lead Finder: Linkedin Comment To Outreach (gethouston/houston, 118 stars), Lead Intelligence (affaan-m/ECC, 276k stars), Lead Intelligence (aAAaqwq/AGI-Super-Team, 105 stars) and Apollo Core Workflow A (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.