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Contact Research

Official
anthropics·vlatest·marketing·Apache-2.0

This skill swiftly gathers contact information (names, emails, etc.) for targeted outreach, saving time and boosting connection efforts.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add anthropics/knowledge-work-plugins --skill contact-research -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

anthropics

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned anthropics/knowledge-work-plugins at da38ec1ee8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
da38ec1ee8
Manifest
partner-built/common-room/skills/contact-research/SKILL.md
Scanned
2 files, 175 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, Contact Research, leverages Common Room to retrieve detailed contact profiles for targeted outreach. It supports lookups using email addresses, social media handles (LinkedIn, Twitter/X, GitHub), or a combination of name and company. The skill returns enriched data including activity history, engagement scores, website visits, and CRM fields, as well as optional Spark analysis for deeper insights into professional background and potential role in the buying process.

When to use it

  • When you need to quickly find contact information (email, social handles) for a specific person.
  • To understand a contact's engagement history and recent activity.
  • To identify potential conversation starters based on a contact’s actions and signals.
  • To assess the context of an account associated with a contact, including opportunities or churn risk.

Key capabilities

  • Contact Lookup: Supports lookup by email address (most reliable), social handle (LinkedIn, Twitter/X, GitHub), name + company, or name only.
  • Data Enrichment: Retrieves data like activity history, scores, website visits, and CRM fields from Common Room.
  • Spark Analysis (Optional): Provides insights into professional background, influence signals, persona classification, and inferred buying process role.
  • Account Context Assessment: Pulls an abbreviated snapshot of the contact's parent company, including opportunities and engagement comparisons with colleagues.
  • Conversation Angle Identification: Surfaces 2-3 potential conversation hooks based on activity and signals.

Example prompts

  • "Find the contact information for John Smith at Acme Corp."
  • "What is Jane Doe’s LinkedIn profile and recent activity?"
  • "Can you give me a Spark analysis for this contact, using their email address: [email protected]"

Tips & gotchas

  • Email lookup is most reliable. Social handle lookups may yield less accurate results.
  • Data availability varies: Not all contacts will have complete data or Spark enrichment available. The skill only includes sections where data was returned.
  • Persona classification requires activity data: Avoid guessing a persona based solely on job title; if no data is available, the contact will be classified as "Unknown."