Provider Builder
Othmane-Khadri/YALC-the-GTM-operating-system
A skill your agent uses when a teammate wants to add a new vendor to YALC for an existing capability without shipping a release.
AI-agent-powered lead enrichment using Sixtyfour as primary source.
$ npx skills add gooseworks-ai/goose-skills --skill gtm-enrichment-deep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills gtm-enrichment-deep --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/gtm-enrichment-deep .claude/skills/gtm-enrichment-deep && 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 "gtm-enrichment-deep" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/gtm-enrichment-deep into .claude/skills/gtm-enrichment-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtm-enrichment-deep", 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/gtm-enrichment-deepType 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 gtm-enrichment-deep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills gtm-enrichment-deep --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/gtm-enrichment-deep .agents/skills/gtm-enrichment-deep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gtm-enrichment-deep" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/gtm-enrichment-deep into .agents/skills/gtm-enrichment-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtm-enrichment-deep", 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 gtm-enrichment-deep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills gtm-enrichment-deep --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/gtm-enrichment-deep .cursor/skills/gtm-enrichment-deep && 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 "gtm-enrichment-deep" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/gtm-enrichment-deep into .cursor/skills/gtm-enrichment-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtm-enrichment-deep", 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/gtm-enrichment-deep--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 gtm-enrichment-deep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills gtm-enrichment-deep --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/gtm-enrichment-deep .gemini/skills/gtm-enrichment-deep && 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 "gtm-enrichment-deep" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/gtm-enrichment-deep into .gemini/skills/gtm-enrichment-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtm-enrichment-deep", 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 gtm-enrichment-deepInstalls 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 gtm-enrichment-deep -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/gtm-enrichment-deep .github/skills/gtm-enrichment-deep && 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 "gtm-enrichment-deep" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/gtm-enrichment-deep into .github/skills/gtm-enrichment-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtm-enrichment-deep", 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 gtm-enrichment-deep -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 gtm-enrichment-deep --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/gtm-enrichment-deep .opencode/skills/gtm-enrichment-deep && 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 "gtm-enrichment-deep" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/gtm-enrichment-deep into .opencode/skills/gtm-enrichment-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gtm-enrichment-deep", 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.
gtm-enrichment-deepAI-agent-powered lead enrichment using Sixtyfour as primary source.
Gtm Enrichment Deep is an agent skill from gooseworks-ai/goose-skills. AI-agent-powered lead enrichment using Sixtyfour as primary source. Takes an email (+ optional name) and returns comprehensive person + company data with funding, AI/B2B classification, and full error visibility. Higher cost (~$0.20/lead) but simpler architecture.
Its SKILL.md is about 2.2k 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 Marketing & SEO, covering Go-to-market strategy and GraphQL. 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.
5 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.
Shell commands in SKILL.md call:
curlpython3npxFrom 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:
linkedin.comapi.gooseworks.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GOOSEWORKS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Gtm Enrichment Deep loads about 2.2k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 466 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 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.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 466 words, ~2,179 tokens.
.claude/skills/gtm-enrichment-deep/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Read your credentials from ~/.gooseworks/credentials.json:
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"
Enrich a lead from an email address (+ optional name) using Sixtyfour's AI agents as the primary enrichment source. Returns person data, company data, funding history, and AI/B2B classification.
Cost: ~$0.20-$0.22 per lead Latency: ~30-60s (Sixtyfour AI agents browse the web)
Required:
jane@acme.com)Optional:
Extract the domain from the email address. Example: jane@acme.com -> domain: acme.com
Fire both calls simultaneously. These are the primary data sources.
Enrich Lead ($0.10):
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":"/enrich-lead"}'
"lead_info": {
"email": "{email}",
"first_name": "{first_name_if_known}",
"last_name": "{last_name_if_known}",
"company": "{company_name_if_known}",
"domain": "{domain}"
},
"struct": {
"full_name": "Full legal name of this person",
"first_name": "First name",
"last_name": "Last name",
"title": "Current job title at their company",
"linkedin_url": "LinkedIn profile URL (full URL starting with https://linkedin.com/in/)",
"city": "City where the person is located",
"state": "State or region where the person is located",
"country": "Country where the person is located"
}
}'Enrich Company ($0.10):
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":"/enrich-company"}'
"target_company": {
"domain": "{domain}"
},
"struct": {
"company_name": "Official company name",
"description": "One-paragraph description of what the company does",
"linkedin_url": "LinkedIn company page URL (full URL starting with https://linkedin.com/company/)",
"hq_city": "Headquarters city",
"hq_state": "Headquarters state or region",
"hq_country": "Headquarters country",
"employee_count": "Approximate number of employees (number only)",
"founded_year": "Year the company was founded (number only)",
"total_funding_amount_usd": "Total funding raised in USD (number only, no $ sign)",
"latest_funding_date": "Date of most recent funding round (YYYY-MM-DD format)",
"latest_funding_stage": "Stage of most recent funding round (e.g., Series A, Series B, Seed)",
"latest_funding_amount_usd": "Amount raised in most recent round in USD (number only)",
"is_ai_company": "true or false - does this company build or primarily use AI/ML technology?",
"ai_evidence": "Brief explanation of why this is or is not an AI company",
"is_b2b_saas": "true or false - is this a B2B SaaS company?",
"b2b_evidence": "Brief explanation of why this is or is not B2B SaaS"
}
}'Record the status, latency, and any errors for both calls.
ONLY run if Sixtyfour /enrich-lead did NOT return a LinkedIn URL.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"apollo","path":"/api/v1/people/match"}'
"email": "{email}",
"reveal_personal_emails": true
}'Cost: $0.01. Extract linkedin_url, and also grab name, title, organization as cross-reference data.
ONLY run if Sixtyfour /enrich-company did NOT return funding data (total_funding_amount_usd is null/empty).
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"apollo","path":"/api/v1/organizations/enrich","query":{"domain":"{domain}"}}'Cost: $0.01. Extract funding events, total funding, latest funding stage, and latest funding amount.
Merge all data into the output format below. Apply these rules:
sixtyfour or apollohigh — Sixtyfour returned the field directlymedium — Apollo fallback provided the fieldlow — field was inferred or partially matchedPresent the results as a JSON code block:
{
"person": {
"full_name": "string",
"title": "string",
"linkedin_url": "string",
"location": {"city": "string", "state": "string", "country": "string"},
"email_verified": "unknown",
"confidence": "high | medium | low",
"source": "sixtyfour | apollo"
},
"company": {
"name": "string",
"domain": "string",
"linkedin_url": "string",
"description": "string",
"geo": {"city": "string", "state": "string", "country": "string"},
"employee_count": "number | null",
"founded_year": "number | null",
"funding": {
"total_amount": "number | null",
"total_amount_printed": "string | null",
"latest_round_date": "string | null",
"latest_round_stage": "string | null",
"latest_round_amount": "number | null",
"rounds": [],
"confidence": "high | medium | low"
},
"classification": {
"is_ai": {"value": true, "confidence": "high | medium | low", "evidence": ["string"]},
"is_b2b_saas": {"value": true, "confidence": "high | medium | low", "evidence": ["string"]}
},
"buying_signals": {
"has_enterprise_plan": null,
"has_self_serve": null,
"hiring_enterprise_reps": null,
"website_traffic_rank": null,
"github_stars": null,
"tech_stack": null
},
"confidence": "high | medium | low",
"source": "sixtyfour | apollo | merged"
},
"meta": {
"total_cost": "$0.XX",
"api_calls": [],
"phases_run": [1, 2],
"enrichment_timestamp": "ISO datetime"
}
}Track EVERY API call in the meta.api_calls array:
{
"api": "sixtyfour",
"endpoint": "/enrich-lead",
"status": "success | partial | error",
"cost": "$0.10",
"latency_ms": 35000,
"fields_returned": ["full_name", "title", "linkedin_url"],
"fields_missing": ["city"],
"error": null
}If an API call fails, returns empty data, or times out, include it in the api_calls array with status='error' and a clear error message. Never silently skip failures.
Sum all API call costs and report in meta.total_cost:
Input: jane@acme.com
Expected flow:
acme.comstruct field in Sixtyfour tells the AI agent exactly what to research — modify fields there if you need different data points© 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 1 other file in skills/lead-generation/capabilities/gtm-enrichment-deep 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.
Gtm Enrichment Deep 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 |
|---|---|---|---|---|---|---|
| Gtm Enrichment Deep this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Provider BuilderOthmane-Khadri/YALC-the-GTM-operating-system | 318 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Marketing PlanNexus-JPF/note-companion | 870 | 5 repos | ~5.2k | Automated safety check: Pass | MIT | |
| Revenue Centric Designheliocosta-dev/revenue-centric-design | 740 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Startup Designferdinandobons/startup-skill | 1.2k | — | ~8.1k | Automated safety check: Pass | MIT | |
| Jaredrhod Marketingjaredrhod/ai-marketing-skills | 282 | — | ~584 | Automated safety check: Pass | CC-BY-SA-4.0 |
Othmane-Khadri/YALC-the-GTM-operating-system
A skill your agent uses when a teammate wants to add a new vendor to YALC for an existing capability without shipping a release.
Nexus-JPF/note-companion
When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product.
heliocosta-dev/revenue-centric-design
Playbook for designing SaaS and startup products that convert, retain, and monetize — landing pages & CRO, checkout & forms, onboarding/activation, churn reduction, pricing psychology, dashboards…
ferdinandobons/startup-skill
Design, validate, and plan a startup from scratch. An agent skill from ferdinandobons/startup-skill.
jaredrhod/ai-marketing-skills
Run any marketing task the way jaredrhod actually runs it. An agent skill from jaredrhod/ai-marketing-skills.
ReScienceLab/opc-skills
Search and retrieve content from Product Hunt. An agent skill from ReScienceLab/opc-skills.
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…
Categories
AI-agent-powered lead enrichment using Sixtyfour as primary source. Gtm Enrichment Deep is an agent skill from gooseworks-ai/goose-skills. AI-agent-powered lead enrichment using Sixtyfour as primary source.
Gtm Enrichment Deep fits situations like: tasks that involve Go-to-market strategy; tasks that involve GraphQL.
Run `npx skills add gooseworks-ai/goose-skills --skill gtm-enrichment-deep -a claude-code`. Or copy the skill folder (skills/lead-generation/capabilities/gtm-enrichment-deep in gooseworks-ai/goose-skills) into .claude/skills/gtm-enrichment-deep in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill gtm-enrichment-deep -a codex`. Or copy the skill folder (skills/lead-generation/capabilities/gtm-enrichment-deep in gooseworks-ai/goose-skills) into .agents/skills/gtm-enrichment-deep 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 gtm-enrichment-deep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gtm-enrichment-deep, .gemini/skills/gtm-enrichment-deep, .github/skills/gtm-enrichment-deep and .opencode/skills/gtm-enrichment-deep in your project.
Going by SKILL.md and its folder, Gtm Enrichment Deep 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.
SKILL.md names 2 domains. In commands or code: linkedin.com and api.gooseworks.ai; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
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.
Gtm Enrichment Deep is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.7k 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 Gtm Enrichment Deep: Provider Builder (Othmane-Khadri/YALC-the-GTM-operating-system, 318 stars), Marketing Plan (Nexus-JPF/note-companion, 870 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars) and Startup Design (ferdinandobons/startup-skill, 1.2k 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.