Guide · Agent skill
How to use the Enrich Company & Contact Data agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
The Enrich Company & Contact Data skill is an agent skill for finding, completing and checking data about companies, contacts, leads and prospects. It is written for sales work where the data has to be decision-ready: you can see what is known, what is a strong match, what is still uncertain, and what the data supports doing next. This guide explains what an agent skill is, how to install this one, how to ask for work in plain language, and what to check before you trust the output.
Quick start
- 1Download the ZIP. Download the skill ZIP from this page. It contains agents/openai.yaml and SKILL.md.
- 2Choose where to install. Unzip into ~/.claude/skills/ for personal use, or into a project's .claude/skills/ folder for one project.
- 3Or upload in the Claude apps. In the Claude apps, open Settings, go to Capabilities, then Skills, and upload the ZIP.
- 4Connect a Sales Intelligence source. Confirm the Sales Intelligence provider you use is connected, since discovery and provider-native fields depend on it.
- 5Make a plain-language request. Describe the companies or contacts, the fields you need and any ICP or ranking rule, in one or two sentences.
- 6Answer any clarifying question. If the anchor is ambiguous, the skill may ask you to choose between candidates before deeper enrichment.
- 7Review the output and sources. Check the qualified results, the Near Matches and Unclear sections, and the Sources & Coverage notes before acting.
What is an agent skill, and what does this one do?
An agent skill is a folder of instructions and optional files that an AI agent loads when a task matches the skill's description. The agent reads the instructions and follows them for that kind of request. This skill is defined in a SKILL.md file with the name enrich-company-and-contact-data.
The skill covers data-first work: company, contact, lead and prospect discovery or enrichment. The source describes it as handling firmographic or technographic completion, named-company profiling, entity resolution, ICP matching, prospect-list building, segmentation, trigger or sales-signal analysis, market and territory scans, and enrichment-backed comparisons.
- It resolves which company or contact a record refers to (entity resolution).
- It fills in missing fields such as firmographics and technographics, where a connected Sales Intelligence source provides them.
- It compares entities against an ideal customer profile (ICP) and reports fit and coverage.
- It builds and segments prospect lists and looks for source-grounded sales signals.
- It does not prioritise your existing account book, prepare for meetings, do outreach research, execute outreach, or write to your CRM.
Install the skill from the ZIP
Download the ZIP from this page. The skill package includes two files: agents/openai.yaml and SKILL.md.
Option A, for your personal agent setup: unzip the package into ~/.claude/skills/ so the skill folder sits there.
Option B, for one project: unzip the package into the project's .claude/skills/ folder.
Option C, in the Claude apps: open Settings, go to Capabilities, then Skills, and upload the ZIP.
Check what the skill needs before you start
The listing shows Requires: nothing listed. The skill does not declare a required tool in its metadata. In practice, though, its workflow depends on data sources. The source names Sales Intelligence as a blocking category for company and contact discovery, firmographics, technographics, intent and lookalikes. Without a connected Sales Intelligence provider, the skill says it cannot complete those lanes and will state the limitation.
Other categories it can use are CRM (for account identity, ownership and duplicates), Knowledge & Files (for ICP definitions and segmentation rules) and the files or rows you provide. If you give it your own list, that list defines the working set.
- Sales Intelligence: needed for discovery and provider-native fields. The skill names ZoomInfo and Apollo as providers it can load guidance for.
- CRM: used for existing customers, owners and named CRM lists.
- Your own rows, CSVs, exports, domains or emails: the skill works from these first.
Trigger the skill with natural requests
You do not need a special command. Describe the task in plain language that matches the skill's scope. Name the entities, the fields you want and the ranking rule if you have one. The skill will try to resolve the smallest useful mode, entity scope, requested fields and result limit, and may ask you a short question first.
- Enrich this CSV of 200 companies with industry, employee count and tech stack, and flag any duplicates.
- Build a list of 50 logistics companies in Germany with 200 to 1,000 employees that match our ICP.
- Profile these three named companies and tell me which one has the strongest recent hiring signals.
- Resolve these email addresses to companies and confirm which domains are the same organisation.
- Compare these five accounts on ICP fit and tell me which fields are missing.
Understand how results are presented
The skill is written to keep sourced facts separate from its own inference, and to avoid inventing emails, phone numbers, titles, technologies, funding or missing fields. Qualified results come first. Close but unsupported candidates are placed in Near Matches, Unclear or Excluded. Each output includes a Sources & Coverage section that lists what was used, what was unavailable or limited, and whether the result is exhaustive.
Expect a smallest useful table or shortlist with confidence levels and visible gaps. Where a link is available, sourced claims should carry one. The skill does not claim exhaustive coverage from a bounded query.
- Used: which sources supplied which fields.
- Unavailable or limited: provider gaps and their effect on confidence.
- Coverage: the working set and any query limit.
Safety notes: scripts and network access
The listing states that this skill does not run scripts and does use the network. Its job involves calling data providers and, only for narrow validation, public research. Review which Sales Intelligence provider you have connected and what data it can access before you run large enrichment jobs.
The skill's rules prohibit updating CRM records, executing outreach, creating records or sending messages without explicit approval. If you want a CRM change, the skill prepares proposed field updates for you to approve in a separate step. Treat exported results as data that may contain personal information about contacts, and handle them under your own privacy obligations.
- Runs scripts: no (per the listing).
- Uses network: yes, for connected data sources and narrow public validation.
- Writes to CRM, sends messages or creates records: not in this workflow.
Tips for better results
Give the skill a list or a clear ICP definition whenever you have one. Supplied rows define the work, and the skill will not silently broaden them into discovery. If you want discovery, say so. For broad searches, the skill searches first and enriches only the final shortlist, so asking for a small result limit makes the output easier to check.
Ask for the fields you actually need. If you want the skill to rank accounts to work this week, the skill routes that to account prioritisation rather than scoring it here.
- State the ranking rule so you can inspect it.
- Name the fields you need, such as industry, size or technology.
- Set a result limit for broad discovery.
- Check the Near Matches and Unclear sections before acting on the list.
What people use it for
- Completing missing industry, employee count and technology fields on a CSV export before a territory review.
- Building a prospect list from an ICP definition and reviewing the near matches the skill could not confirm.
- Resolving messy email addresses or domains to a single company record and flagging duplicates.
- Comparing a short list of named companies on ICP fit and data completeness.
- Segmenting a target list using rules from your own Knowledge & Files definitions.
Frequently asked questions
How do I install the enrich-company-and-contact-data skill?
Download the ZIP from this page and unzip it into ~/.claude/skills/ for personal use, or into a project's .claude/skills/ folder. In the Claude apps, you can instead upload the ZIP under Settings, then Capabilities, then Skills.
Does this skill need anything installed first?
The listing shows Requires: nothing listed. However, the workflow relies on a connected Sales Intelligence source for discovery, firmographics, technographics and intent, and the skill will state a limitation when that source is missing.
Is the enrich-company-and-contact-data skill free?
The source lists the licence as MIT. The source does not state any price, so check the repository for the terms that apply to you. Any Sales Intelligence provider you connect will have its own pricing and terms.
Does the skill run scripts or access the internet?
The listing says it does not run scripts and does use the network. It calls connected data sources and may do narrow public validation for gaps.
Can the skill update my CRM or send emails to prospects?
No. In this workflow it does not update CRM records, execute outreach, create records or send messages. It can prepare proposed field updates for you to approve separately.
How does this skill compare with prioritising my account list?
This skill focuses on finding, enriching and matching data. Deciding which accounts to work now, and what rep action to take, is handled by the prioritize-accounts skill, which the enrichment skill routes you to.
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Our verdict
Use this skill if you need company and contact data completed, matched to an ICP, or built into a prospect list, and you have a Sales Intelligence source connected or your own rows to start from. Pick something else if you need meeting preparation, outreach research, or a ranked list of accounts to work, since this skill explicitly excludes those tasks.
Download the skill