Account Contact Shortlist logo

Account Contact Shortlist

Organization
explorium-ai
account-contact-shortlist

Contact data skill for Claude Code and Codex: build a ranked shortlist of decision-makers and contacts at a target company for outbound prospecting, deal acceleration, or renewal/expansion plays. Returns verified contact data including email, phone, LinkedIn profile, title, seniority, and department. Provide a company name or domain plus optional seniority focus or use case. Use for contact data enrichment, LinkedIn profile lookup, and building outbound contact lists. Works in Claude Code, Codex, Hermes-Agent, and OpenClaw.

Overview

Publisherexplorium-ai
Repositorygtm-skills
Skill nameaccount-contact-shortlist
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 Account Contact Shortlist 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/account-contact-shortlist
  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/account-contact-shortlist .claude/skills/account-contact-shortlist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Account Contact Shortlist 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 Account Contact Shortlist 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 Account Contact Shortlist 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.

Account Contact Shortlist

Pull the right people at a target account and rank them for outreach, with a use-case lens (new business, active deal, renewal) and a reachability check.

Input

The user provides:

  • A company name or domain (required).
  • Optional use case: "prospecting" (default), "deal acceleration", or "renewal" / "expansion".
  • Optional seniority focus (C-level, VP+, Director+) or a specific function (sales, marketing, RevOps, security, finance).
  • Optional size of the shortlist (default 25, max 100).

Workflow

  1. Resolve the company. Match the business from the name or domain. If multiple plausible matches surface, present the top 2 to 3 with industry, size, and HQ, then ask the user to confirm. Sanity-check the resolved firmographics: if a major-brand input comes back as 1-50 employees in a Corporate-Managing-Offices category, the match likely routed to a shell entity. Retry with the alternate domain or the name string before proceeding.

  2. Enrich the resolved business with firmographics to anchor the output header (industry, size bucket, revenue bucket, HQ, public vs private).

  3. Translate the use case into a persona blueprint before any prospect fetch. Prospecting / default: broad buying-committee coverage across Sales, Marketing, RevOps, IT, and Product, weighted toward Director, VP, and C-level. Deal acceleration: economic buyer plus technical evaluator plus procurement, biased to C-level and VP in the relevant function, plus one Director-level champion. Renewal / expansion: existing product-owner functions plus an executive sponsor, including Manager and Director levels alongside VP+. Intersect any user-supplied seniority or function override with the blueprint and note dropped roles.

  4. Discover canonical values for every free-text role or industry token before filtering. Combine a job-title filter with an explicit seniority constraint to keep matches tight: a title-only filter for "Vice President of Engineering" leaks non-VP rows, so intersect title with seniority.

  5. Sample 5 prospects scoped to the resolved account, matching the blueprint's titles, seniority, and department, with a reachability proxy (has-email true). Present this preview for the user to sanity-check the persona translation and wait for approval before going full size. When the user names a role rather than a person ("the CFO at Notion"), do not try to resolve a title string as a person; surface candidates via the filtered prospect fetch instead.

  6. After approval, materialize the full shortlist and enrich prospects for contact data. Default to email-only contact enrichment because it is the cheaper option; opt in to phone only when the user explicitly needs dialer-ready output. For the top 10, also pull profile enrichment so tenure and prior-role signals can feed the ranking rationale.

  7. Rank and group. Score each contact on persona fit (title and department match, weighted by seniority), reachability (professional email, then personal email, then phone), and tenure or stability from the profile pull (recent joiners get a small bump for prospecting, a penalty for renewal). Break ties by seniority.

Output Format

Target Account

One line: company name, domain, industry, headcount bucket, revenue bucket, HQ, public vs private.

Use Case Frame

State the resolved use case and what the shortlist optimizes for (prospecting = buying-committee coverage on a first conversation; deal acceleration = economic buyer plus technical evaluator plus procurement plus a Director-level champion; renewal / expansion = current product owners plus an executive sponsor). List any user-provided overrides that narrowed the blueprint.

Shortlist

RankFull NameJob TitleSeniorityDepartmentProfessional EmailPhoneLinkedInWhy On The List

"Why On The List" is one short clause referencing the persona-blueprint slot the contact fills (e.g. "VP-level economic buyer in Sales"). Show "Unattributed" in the Department column for cross-functional senior roles where department is null.

Coverage Read

Counts by department, by seniority band, and by reachability (professional email, personal email only, phone, none). Flag gaps where the use case expected a slot but no contact was found (e.g. "No procurement contact surfaced for deal acceleration").

Engagement Priority

Pick the top 5 to contact first with a one-line reason each, distinguishing entry points (Manager / Director with strong reachability) from decision makers (VP / CXO in the relevant function). Suggest an outreach order.

Next Steps

  • Brief the opener with fresh account context via funding, challenges, or strategic-insights enrichments.
  • Fetch prospect events on the shortlist to catch recent role changes or new-hire signals before the first touch.
  • Re-run with a different use case to compare the buying committee against an in-flight deal team.

Limitations

  • No native contact data-quality sort. Reachability is approximated from the has-email flag plus enriched professional email and phone.
  • Headcount and revenue are bucketed, so very narrow size cutoffs are not possible.
  • No sub-department job-function filter. The finest cut on function is department plus title.
  • The only company-type filter is public vs private. Private subsidiary cannot be distinguished from independent private.
  • Department is null for many cross-functional senior roles. Group those under "Unattributed" rather than dropping them.
  • Sample previews are capped at 5 rows. Full shortlists materialize only after user approval.

Frequently asked questions

What does the Account Contact Shortlist AI skill do?

Contact data skill for Claude Code and Codex: build a ranked shortlist of decision-makers and contacts at a target company for outbound prospecting, deal acceleration, or renewal/expansion plays. Returns verified contact data including email, phone, LinkedIn profile, title, seniority, and department. Provide a company name or domain plus optional seniority focus or use case. Use for contact data enrichment, LinkedIn profile lookup, and building outbound contact lists. Works in Claude Code, Codex, Hermes-Agent, and OpenClaw.

Why use Account Contact Shortlist on TypingMind?

Because you install it once and use it with any model. Account Contact Shortlist 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 Account Contact Shortlist in TypingMind?

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

Which AI models can use Account Contact Shortlist?

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 Account Contact Shortlist?

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

Is the Account Contact Shortlist 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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