Agent skill

Icp Identification

by gooseworks-ai in 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.

MITAuto-check passedMarketing & SEO

Install Icp Identification

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill icp-identification -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills icp-identification --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/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-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
icp-identification
GitHub stars
1.2k
Used in
1 other repo
Token cost
~2.4k tokens
SKILL.md length
1,244 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 5 steps: Gather Context → Research → Define ICP → …
  • Tasks that involve Positioning and messaging
  • SKILL.md covers When to Auto-Load, Phase 0: Gather Context, Phase 1: Research and Phase 2: Define ICP, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Tasks that involve Positioning and messaging

Example prompts

  • “find me leads”
  • “map my market”
  • “who should I sell to”
  • “/icp-identification”

Workflow steps

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

  1. Gather Context
  2. Research
  3. Define ICP
  4. Choose Path — TAM or Leads?
  5. Hand Off

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

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

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

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.

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

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,244 words, ~2,449 tokens.

Download SKILL.mdSave it as .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.
name
icp-identification
description
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.
tags
research

ICP Identification

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 to Auto-Load

  • User says "find me leads", "help me find prospects", "who should I sell to", or similar
  • User provides a company URL and asks for leads/prospects
  • User describes an idea/product and wants to find customers
  • User asks "who is my ICP?" or "help me define my target market"
  • User asks to "map my TAM", "size my market", or "build a target account list"

Phase 0: Gather Context

When triggered, collect these inputs from the user:

  1. Company URL or describe your idea/product
  2. What does the product/service do? (skip if URL provided — we'll research)
  3. Who are your current customers? (if any — ask for specific company names, titles of buyers/champions, and how they found the product. These examples calibrate search filters far better than abstract descriptions.)
  4. What's your price point / deal size? (helps determine buyer seniority)
  5. Who is NOT a fit? — Ask about industries, company types, company sizes, or roles that are explicitly wrong for this product. Prompt with examples: "Are there industries that definitely don't work? Company sizes too small or too large? Titles that look right but never buy?" Even rough exclusions prevent noisy search results downstream.

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.

Phase 1: Research

Using web search and the company URL, investigate:

  1. Company research — What do they sell? Who do they sell to? Value proposition. Pricing model.
  2. Market analysis — What category/space? Market size signals. Growth stage.
  3. Competitor identification — Who are the top 3-5 competitors? How are they positioned?
  4. Buyer signals — Who buys this kind of product? What titles? What triggers a purchase?

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?"

Phase 2: Define ICP

Based on research + user input, propose a structured ICP:

DimensionRecommendationReasoning
Job Titlese.g., VP Sales, Head of Revenue OpsDirect buyers of sales tools
Senioritye.g., VP, DirectorBudget authority at this deal size
Company Sizee.g., 51-200 employeesSweet spot for this product
Industrye.g., SaaS, FinTechHighest product-market fit
Regione.g., US, SF Bay AreaCurrent market focus
Signalse.g., recently hired, posted about painTiming indicators

Present as a table. Ask user to confirm, adjust, or refine. Iterate until they approve.

Exclusion Criteria (Equally Important)

Define what to filter OUT. These map directly to "not in" / exclusion parameters in search tools:

DimensionExcludeReasoning
Titles to excludee.g., Intern, Coordinator, Assistant, StudentNo budget authority or decision power
Industries to excludee.g., Government, Education, Non-profitProduct doesn't serve these verticals
Company types to excludee.g., Agencies, consultancies, sole proprietorsNot a fit for the product model
Company size to excludee.g., 1-10 employees, 10,000+Too small to need it / too large to buy it
Specific companies to excludee.g., existing customers, competitors, partnersAlready 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.

Show full SKILL.md (507 more words)Show less

Phase 3: Choose Path — TAM or Leads?

Once ICP is locked, ask the user:

"Now that we have the ICP defined, would you like to:

  1. 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.
  2. 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."

Path A: Map the TAM

If the user chooses TAM mapping, hand off to the TAM builder skill with the ICP definition. The TAM builder will:

  1. Search for companies matching the ICP filters
  2. Score and tier them by fit
  3. Build a persona watchlist for best-fit accounts

When to recommend TAM path:

  • User wants a systematic, account-based approach
  • Market is well-defined but user doesn't know which companies are in it
  • User plans to run ongoing outbound (not a one-shot campaign)
  • User wants to prioritize accounts by fit before reaching out
  • User asks about "market sizing", "target account list", or "account-based"
Path B: Find Leads/Prospects → Lead-Finding Skills

If the user chooses lead finding, present ranked strategies based on what's available in the skill graph:

#StrategySkill UsedBest ForEffort
1Database search — Search people DB by title, industry, region, company sizeapollo-lead-finderHigh volume, broad ICPLow
2Pain language — Find people posting about problems your product solvespain-language-engagersWarm leads with expressed needMedium
3Competitor audiences — Find people engaging with competitor contentcompetitor-post-engagersLeads already in-marketMedium
4KOL audiences — Find leads from industry influencer audienceskol-discovery → kol-engager-icpNiche, high-quality leadsMedium
5Hiring signals — Find companies hiring roles your product replaces/supportsjob-posting-intentCompanies with budget & urgencyMedium
6Event attendees — Find leads from industry eventsget-qualified-leads-from-lumaEngaged, in-market leadsLow
7Apollo database search — Search Apollo's 210M+ contact database (free search, paid enrichment)apollo-lead-finderBroadest coverage, cost-controlled enrichmentLow

Recommendation logic:

  • Early-stage / broad ICP → Start with database search (volume) + pain language (warmth)
  • Established with known competitors → Competitor audiences + database search
  • Niche market → KOL audiences + event attendees
  • High urgency / budget signals matter → Hiring signals + database search

Recommend 1-2 strategies based on the ICP and company stage. Ask user to pick which to execute.

Phase 4: Hand Off

Once user selects their path and strategy(ies):

  1. Load the corresponding skill's SKILL.md
  2. Pass the ICP definition as context — titles, industries, regions, company size, signals
  3. Begin that skill's Phase 0 (intake) with ICP already populated — don't re-ask questions the ICP already answers
  4. If multiple strategies selected, execute sequentially — complete one before starting the next
Handoff format

When 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

Files

SKILL.md and 1 other file in skills/lead-generation/capabilities/icp-identification of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

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.

Compare with similar skills

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.

Icp Identification compared with similar skills
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Icp Identification this skillgooseworks-ai/goose-skills1.2k1 repos~2.4kAutomated safety check: PassMIT
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Revenue Centric Designheliocosta-dev/revenue-centric-design740—~1.6kAutomated safety check: PassCustom licence
Startup Positioningferdinandobons/startup-skill1.2k—~4.6kAutomated safety check: PassMIT
Stanley Druckenmiller Investmenttradermonty/claude-trading-skills3k1 repos~2kAutomated safety check: PassMIT
B2b Playbookweilun88313/B2B-Playbook203—~3.1kAutomated safety check: PassProprietary

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Categories

Questions about Icp Identification

What does Icp Identification do?

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.

When should I use Icp Identification?

Icp Identification fits situations like: tasks that involve Positioning and messaging.

How do I install Icp Identification in Claude Code?

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.

How do I install Icp Identification in Codex?

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.

Can I use Icp Identification 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 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.

What does Icp Identification need to run?

SKILL.md names no scripts, command-line tools or credentials: Icp Identification is instructions for the agent only.

Does Icp Identification access the network?

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.

Is Icp Identification 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 Icp Identification use?

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.

How many tokens does Icp Identification use?

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.

What are the alternatives to Icp Identification?

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.

Who maintains Icp Identification?

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.