Marketing Os
Yuzzyuk/marketing-os
A complete marketing department in one skill. An agent skill from Yuzzyuk/marketing-os.
Research a company or idea, define the Ideal Customer Profile, and route to the right next step — either mapping the TAM or finding leads/prospects directly.
$ npx skills add gooseworks-ai/goose-skills --skill icp-identification -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills icp-identification --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/icp-identification .claude/skills/icp-identification && 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 "icp-identification" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/icp-identification into .claude/skills/icp-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-identification", 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/icp-identificationType 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 icp-identification -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills icp-identification --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/icp-identification .agents/skills/icp-identification && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "icp-identification" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/icp-identification into .agents/skills/icp-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-identification", 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 icp-identification -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills icp-identification --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/icp-identification .cursor/skills/icp-identification && 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 "icp-identification" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/icp-identification into .cursor/skills/icp-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-identification", 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/icp-identification--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 icp-identification -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills icp-identification --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/icp-identification .gemini/skills/icp-identification && 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 "icp-identification" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/icp-identification into .gemini/skills/icp-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-identification", 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 icp-identificationInstalls 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 icp-identification -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/icp-identification .github/skills/icp-identification && 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 "icp-identification" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/icp-identification into .github/skills/icp-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-identification", 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 icp-identification -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 icp-identification --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/icp-identification .opencode/skills/icp-identification && 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 "icp-identification" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/lead-generation/capabilities/icp-identification into .opencode/skills/icp-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-identification", 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.
icp-identificationResearch a company or idea, define the Ideal Customer Profile, and route to the right next step — either mapping the TAM or finding leads/prospects directly.
Icp Identification is an agent skill from gooseworks-ai/goose-skills. Research a company or idea, define the Ideal Customer Profile, and route to the right next step — either mapping the TAM or finding leads/prospects directly. The entry point for any "find me leads", "map my market", or "who should I sell to" request. Auto-loads when a user provides a company URL or idea and asks for leads or market mapping.
Its SKILL.md is about 2.4k 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 Positioning and messaging. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Icp Identification loads about 2.4k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 1,244 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). 1,244 words, ~2,449 tokens.
.claude/skills/icp-identification/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Research a company or idea, define the Ideal Customer Profile, and route to the right next step. This is the entry point for any "find me leads" or "map my market" request — it sits upstream of all lead-finding and TAM-building skills and ensures we understand the business, define the target, and pick the right approach before executing.
When triggered, collect these inputs from the user:
If the user provides a company URL, research it using web tools before asking follow-up questions. Don't ask questions you can answer from the website.
Intake principle: Every answer here should help you populate a search filter (title, industry, headcount range, region) or an exclusion filter (titles to skip, industries to ignore, company types to avoid). If a user's answer is too vague to become a filter value, probe deeper. Don't ask generic strategy questions — ask questions that sharpen the search.
Using web search and the company URL, investigate:
Output: Synthesize findings into a brief (5-10 bullet points) and present to the user for validation. Example:
Research Summary:
- Company sells X to Y
- Main competitors: A, B, C
- Typical buyer: VP/Director level at mid-market companies
- Purchase triggers: scaling team, switching from legacy tool, new budget cycle
- Pricing suggests mid-market / enterprise buyer
Ask the user: "Does this match your understanding? Anything to correct or add?"
Based on research + user input, propose a structured ICP:
| Dimension | Recommendation | Reasoning |
|---|---|---|
| Job Titles | e.g., VP Sales, Head of Revenue Ops | Direct buyers of sales tools |
| Seniority | e.g., VP, Director | Budget authority at this deal size |
| Company Size | e.g., 51-200 employees | Sweet spot for this product |
| Industry | e.g., SaaS, FinTech | Highest product-market fit |
| Region | e.g., US, SF Bay Area | Current market focus |
| Signals | e.g., recently hired, posted about pain | Timing indicators |
Present as a table. Ask user to confirm, adjust, or refine. Iterate until they approve.
Define what to filter OUT. These map directly to "not in" / exclusion parameters in search tools:
| Dimension | Exclude | Reasoning |
|---|---|---|
| Titles to exclude | e.g., Intern, Coordinator, Assistant, Student | No budget authority or decision power |
| Industries to exclude | e.g., Government, Education, Non-profit | Product doesn't serve these verticals |
| Company types to exclude | e.g., Agencies, consultancies, sole proprietors | Not a fit for the product model |
| Company size to exclude | e.g., 1-10 employees, 10,000+ | Too small to need it / too large to buy it |
| Specific companies to exclude | e.g., existing customers, competitors, partners | Already in pipeline or not appropriate |
Present exclusions alongside the inclusion table. Ask user to confirm both.
Important: The ICP definition becomes the input context for all downstream skills. Be specific — vague ICPs produce vague leads.
Search precision warning: Downstream tools (Apollo and similar databases) match on the exact title strings, industry tags, and keywords you pass them. Overly broad or stuffed filters (e.g., 15 keyword tags) return noisy results. Each filter value should be specific and intentional. When in doubt, use fewer, more precise values and let exclusions do the narrowing.
Once ICP is locked, ask the user:
"Now that we have the ICP defined, would you like to:
- Map your TAM — Build a scored Total Addressable Market: discover all companies matching your ICP, score and tier them, and build a persona watchlist for the best-fit accounts. This is the strategic, market-first approach.
- Find leads/prospects now — Go straight to finding individual people to contact. This is the tactical, results-now approach.
TAM mapping is best when you want a full picture of your market, ongoing signal monitoring, and a systematic account-based approach. Lead finding is best when you need contacts to reach out to immediately."
If the user chooses TAM mapping, hand off to the TAM builder skill with the ICP definition. The TAM builder will:
When to recommend TAM path:
If the user chooses lead finding, present ranked strategies based on what's available in the skill graph:
| # | Strategy | Skill Used | Best For | Effort |
|---|---|---|---|---|
| 1 | Database search — Search people DB by title, industry, region, company size | apollo-lead-finder | High volume, broad ICP | Low |
| 2 | Pain language — Find people posting about problems your product solves | pain-language-engagers | Warm leads with expressed need | Medium |
| 3 | Competitor audiences — Find people engaging with competitor content | competitor-post-engagers | Leads already in-market | Medium |
| 4 | KOL audiences — Find leads from industry influencer audiences | kol-discovery → kol-engager-icp | Niche, high-quality leads | Medium |
| 5 | Hiring signals — Find companies hiring roles your product replaces/supports | job-posting-intent | Companies with budget & urgency | Medium |
| 6 | Event attendees — Find leads from industry events | get-qualified-leads-from-luma | Engaged, in-market leads | Low |
| 7 | Apollo database search — Search Apollo's 210M+ contact database (free search, paid enrichment) | apollo-lead-finder | Broadest coverage, cost-controlled enrichment | Low |
Recommendation logic:
Recommend 1-2 strategies based on the ICP and company stage. Ask user to pick which to execute.
Once user selects their path and strategy(ies):
SKILL.mdWhen transitioning to a downstream skill, carry forward:
ICP Context (from icp-identification):
Include:
- Titles: [list]
- Seniority: [list]
- Company size: [range]
- Industries: [list]
- Region: [list]
- Signals: [list]
- Product: [what the user sells]
- Competitors: [identified competitors]
Exclude:
- Titles to exclude: [list]
- Industries to exclude: [list]
- Company types to exclude: [list]
- Company size to exclude: [ranges]
- Companies to exclude: [specific names, if any]This ensures downstream skills skip redundant intake questions and start executing immediately. Both inclusion and exclusion criteria must be passed — exclusions are what prevent noisy search results.
© 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/icp-identification 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.
Icp Identification 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 |
|---|---|---|---|---|---|---|
| Icp Identification this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Marketing OsYuzzyuk/marketing-os | 540 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Revenue Centric Designheliocosta-dev/revenue-centric-design | 740 | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Startup Positioningferdinandobons/startup-skill | 1.2k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Stanley Druckenmiller Investmenttradermonty/claude-trading-skills | 3k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| B2b Playbookweilun88313/B2B-Playbook | 203 | — | ~3.1k | Automated safety check: Pass | Proprietary |
Yuzzyuk/marketing-os
A complete marketing department in one skill. An agent skill from Yuzzyuk/marketing-os.
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
Market positioning strategy using the April Dunford framework, enriched with JTBD discovery, Moore positioning statement, and Neumeier's Onliness Test.
tradermonty/claude-trading-skills
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…
weilun88313/B2B-Playbook
Turn B2B marketing work into evidence-aware outputs using market, positioning, demand, account-program, lifecycle, and tool-selection guidance.
onvoyage-ai/gtm-engineer-skills
Researches a company from its URL and produces a Brand DNA file covering positioning, audience, competitors, voice, and messaging.
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
Research a company or idea, define the Ideal Customer Profile, and route to the right next step — either mapping the TAM or finding leads/prospects directly. Icp Identification is an agent skill from gooseworks-ai/goose-skills. Research a company or idea, define the Ideal Customer Profile, and route to the right next step — either mapping the TAM or finding leads/prospects directly.
Icp Identification fits situations like: tasks that involve Positioning and messaging.
Run `npx skills add gooseworks-ai/goose-skills --skill icp-identification -a claude-code`. Or copy the skill folder (skills/lead-generation/capabilities/icp-identification in gooseworks-ai/goose-skills) into .claude/skills/icp-identification in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill icp-identification -a codex`. Or copy the skill folder (skills/lead-generation/capabilities/icp-identification in gooseworks-ai/goose-skills) into .agents/skills/icp-identification 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 icp-identification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/icp-identification, .gemini/skills/icp-identification, .github/skills/icp-identification and .opencode/skills/icp-identification in your project.
SKILL.md names no scripts, command-line tools or credentials: Icp Identification is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Icp Identification is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.8k 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 Icp Identification: Marketing Os (Yuzzyuk/marketing-os, 540 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Positioning (ferdinandobons/startup-skill, 1.2k stars) and Stanley Druckenmiller Investment (tradermonty/claude-trading-skills, 3k 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.