Enrich Company logo

Enrich Company

Organization
explorium-ai
enrich-company

B2B company enrichment skill for Claude Code and Codex: pull a company's full profile including firmographics, technographics, financial metrics, funding history, workforce trends, competitive landscape, and contact pool count. Accepts a domain, company name, or business_id. Use for CRM enrichment, outbound data enrichment, and account research workflows. An AI-agent-native alternative to ZoomInfo, Clearbit, and Apollo.io company data APIs — no custom integration needed in Claude Code, Codex, or Hermes-Agent.

Overview

Publisherexplorium-ai
Repositorygtm-skills
Skill nameenrich-company
Stars
293
Forks
3
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by explorium-ai on GitHub. Read the source before you install it.

Installation

Install the Enrich Company AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/explorium-ai/gtm-skills/tree/main/skills/enrich-company
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git /tmp/gtm-skills
mkdir -p .claude/skills
cp -r /tmp/gtm-skills/skills/enrich-company .claude/skills/enrich-company
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Enrich Company in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Enrich Company on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Enrich Company is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Enrich Company

Resolve a single company and return a complete profile across firmographics, tech, financials, funding, hiring, and contact coverage.

Input

The user will provide one of:

  • A domain (e.g. stripe.com)
  • A company name (e.g. Stripe)
  • A known Explorium business_id

Optional: a specific area of focus (e.g. "just funding", "tech stack only"). If omitted, run the full profile.

Workflow

  1. Resolve the company. Match the business from the supplied domain, name, or id. If a name is ambiguous, re-match with user-supplied tiebreakers (country, HQ city, domain hint) and surface the top 3 candidates for a pick. If a business_id is given, treat it as already resolved. If nothing resolves, stop and suggest re-trying with a domain.

  2. Domain-variant sanity check. After firmographics land, if a major-brand input resolves to a row with headcount 1-50 and NAICS 551114 (Corporate Managing Offices) or SIC Hotels and motels, the match likely routed to a registered-agent shell. Re-try with the alternate domain or with the company name string before continuing.

  3. Enrich the core profile. Run firmographics, technographics, company hierarchies, funding and acquisitions, workforce trends, strategic insights, company ratings, and competitive landscape on the resolved company.

  4. Add financial metrics. Financial metrics require a reporting date. Default to the first day of the current month, or use the most recent month the user names, and state the assumption.

  5. Size the contact pool. Get a total prospect count scoped to the resolved company. Record it as "Contacts in Explorium" so the user can decide whether to chase decision-makers next.

  6. Focused mode. If the user asked for one slice only (e.g. "just tech stack", "funding only"), run only the relevant enrichments in step 3 plus steps 1, 2, and 5.

  7. Render the profile using the format below. Always surface business_id and company_domain so the user can chain into follow-up work.

Output Format

[Company Name] : [one-line description from strategic insights or firmographics]

FieldValue
Websitedomain
IndustryLinkedIn or NAICS category
Headcountbucket plus exact count when present
Revenuebucket plus range when present
HQ Locationcity, region, country
Company Typepublic / private / subsidiary
Tickerif public
Phone
business_id

Corporate Structure: ultimate parent, direct parent, subsidiary count and top names. Financials: reporting period plus key metrics (revenue, growth, margin where present). Funding & Acquisitions: total raised, last round (stage, amount, date, lead investor), recent acquisitions. Workforce Trends: headcount now vs 6 / 12 / 24 months ago, net hires last quarter, top hiring departments. Tech Stack: group by category (CRM, analytics, infra), cap at top 15 named tools. Competitive Landscape: top named competitors and positioning notes. Strategic Insights: 3-5 bullets on recent direction, priorities, or signals. Ratings: Glassdoor, G2, and other review signals when returned. Contact Coverage: total prospect count plus a suggested next step to pull decision-makers filtered by seniority and department.

Limitations

  • Strategic insights and challenges are sourced from SEC 10-K filings: null for private companies, and 12-18 months stale for public ones. Use business events, funding, workforce trends, and LinkedIn posts for current-state signals.
  • Exact headcount and exact revenue are not always returned: bucket values are the floor.
  • No native "similar companies" tool. Approximate by reconstructing seed attributes and re-fetching with those filters (see the lookalike-accounts skill).
  • Quarter-over-quarter and year-over-year headcount deltas may be partial for smaller or private companies.
  • Financial metrics require a reporting date: default to current month and state the assumption.
  • High-profile executives at the resolved company often have suppressed contact data. If the user pivots to "who runs it", warn that professional emails for top execs are unreliable and recommend LinkedIn outreach for that tier.
  • Sub-industry granularity is limited to whichever taxonomy you filtered on (LinkedIn and NAICS categories are mutually exclusive as filters, though both can appear in firmographics output).

Frequently asked questions

What does the Enrich Company AI skill do?

B2B company enrichment skill for Claude Code and Codex: pull a company's full profile including firmographics, technographics, financial metrics, funding history, workforce trends, competitive landscape, and contact pool count. Accepts a domain, company name, or business_id. Use for CRM enrichment, outbound data enrichment, and account research workflows. An AI-agent-native alternative to ZoomInfo, Clearbit, and Apollo.io company data APIs — no custom integration needed in Claude Code, Codex, or Hermes-Agent.

Why use Enrich Company on TypingMind?

Because you install it once and use it with any model. Enrich Company is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Enrich Company in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/explorium-ai/gtm-skills/tree/main/skills/enrich-company. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Enrich Company?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Enrich Company?

As many as you like. As long as a model supports skills, you can use Enrich Company with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Enrich Company AI skill free?

Yes. It is published on GitHub by explorium-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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