Abm Campaign logo

Abm Campaign

Organization
explorium-ai
abm-campaign

ABM campaign skill for Claude Code: run a full Account-Based Marketing campaign end-to-end — from ICP definition to live LinkedIn Ads. Builds targeted account lists with Vibe Prospecting, enriches and scores companies with real-time B2B data, generates personalized ad creatives with Claude Code and Figma, pushes matched audiences to LinkedIn Ads, and monitors campaigns daily at scale. The complete GTM skill for AI-driven account-based marketing in Claude Code, Codex, Hermes-Agent, and OpenClaw. No agency needed.

Overview

Publisherexplorium-ai
Repositorygtm-skills
Skill nameabm-campaign
Stars
293
Forks
3
Bundled files
7
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.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Abm Campaign 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/abm-campaign
  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/abm-campaign .claude/skills/abm-campaign
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Abm Campaign 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 Abm Campaign 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 Abm Campaign 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.

ABM Campaign — DIY Playbook

This skill walks you through a full ABM campaign end-to-end, using Claude Code as the orchestration layer. You bring your ICP definition and credentials; Claude handles the rest.

What you'll build:

  1. A scored, filtered account list sourced from Vibe Prospecting
  2. Segment-specific ad creatives (HTML templates + optional Figma assets)
  3. LinkedIn matched audiences populated with your target accounts
  4. Live LinkedIn campaigns with personalized ads
  5. An ongoing monitoring and optimization loop

No personal keys are stored in this skill. You provide credentials at runtime via environment variables or interactive prompts. See setup.md before starting.


Prerequisites

Complete setup.md first. It covers:

  • Vibe Prospecting login (npx @vibeprospecting/vpai@latest)
  • LinkedIn Ads API credentials
  • Figma access token (optional)

Campaign Phases

Phase 1 — Build the Account List

Goal: Translate your ICP into a concrete list of target companies.

Read 01-account-list.md before running any Vibe Prospecting commands.

Quick steps:

  1. Define your ICP (industry, company size, geography, tech stack, funding stage, intent signals)
  2. Use autocomplete to normalize filter values
  3. Fetch matching companies with fetch-entities (sample 5 first, then full export)
  4. Save to abm-accounts-raw.csv
bash
# Example: US SaaS companies, 100-1000 employees, using Salesforce
npx @vibeprospecting/vpai@latest autocomplete \
  --args '{"field":"linkedin_category","query":"software"}' \
  --tool-reasoning 'Building ABM account list for SaaS ICP'

npx @vibeprospecting/vpai@latest fetch-entities \
  --args '{
    "entity_type": "business",
    "filters": {
      "linkedin_category": {"values": ["Software Development"]},
      "company_headcount_range": {"values": ["101-250","251-500","501-1000"]},
      "company_country_code": {"values": ["US"]},
      "company_tech_stack_tech": {"values": ["Salesforce"]}
    },
    "page_size": 5
  }' \
  --tool-reasoning 'Sample fetch for ABM account list'

Output: abm-accounts-raw.csv


Phase 2 — Enrich & Score the Accounts

Goal: Add firmographic and technographic data, then score and filter to your best-fit accounts.

Read 02-enrich-score.md for scoring model details.

Quick steps:

  1. Match raw companies to Vibe business IDs
  2. Enrich with firmographics, technographics, funding-and-acquisitions
  3. Apply ICP scoring formula (Claude computes a fit score 0–100)
  4. Filter to accounts above your threshold (suggested: score ≥ 60)
  5. Save to abm-accounts-scored.csv and abm-accounts-final.csv
bash
# Match company names to IDs
npx @vibeprospecting/vpai@latest match-business \
  --args '{"businesses_to_match": [{"name":"Acme Corp","domain":"acme.com"}]}' \
  --tool-reasoning 'Matching accounts for enrichment'

# Enrich firmographics + technographics
npx @vibeprospecting/vpai@latest enrich-business \
  --args '{
    "business_ids": ["biz_xxx"],
    "enrichments": ["firmographics","technographics","funding-and-acquisitions"]
  }' \
  --tool-reasoning 'Enriching accounts for ABM scoring'

Output: abm-accounts-final.csv (scored, filtered list)


Phase 3 — Create the Ad Templates

Goal: Generate reusable, segment-specific ad templates using Claude Code.

Read 03-ad-templates.md for template structure and design system integration.

Quick steps:

  1. Define your ad segments (e.g., "Enterprise Fintech", "Mid-Market SaaS", "Startup")
  2. Specify your design system or brand colors/fonts (or use defaults)
  3. Claude generates HTML/CSS templates for each LinkedIn ad format:
    • Single Image (1200×628 px)
    • Carousel cards (1080×1080 px)
    • Spotlight ad (300×250 px)
  4. Templates use placeholders: {{company_name}}, {{company_logo}}, {{headline}}, {{body_copy}}
  5. Output files saved under creative/templates/

Tell Claude:

"Create LinkedIn ad templates for these segments: [list]. Use these brand colors: [hex]. Use this value prop: [text]."

Output: creative/templates/<segment>-single.html, creative/templates/<segment>-carousel.html


Phase 4 — Personalize the Creative

Goal: Dynamically update creative elements per account using Figma MCP (or a code-based approach).

Read 04-personalize-figma.md for the Figma MCP workflow and code-based fallback.

Option A — Figma MCP (recommended for polished output):

  1. Share your Figma design file URL
  2. Claude reads the template frames via Figma MCP
  3. For each account, Claude swaps: company logo, company name, segment headline
  4. Exports PNG assets per account

Option B — Code-based (no Figma):

  1. Claude uses the HTML templates from Phase 3
  2. Injects per-account data using a Python/Node script
  3. Renders to PNG using puppeteer or playwright
  4. Saves under creative/personalized/<company_domain>/
bash
# Install rendering dependencies (Option B)
npm install -g playwright
playwright install chromium

Output: creative/personalized/<company_domain>/<format>.png


Phase 5 — Push Audiences to LinkedIn Ads

Goal: Create a LinkedIn matched audience from your account list and upload company data.

Read 05-linkedin-audiences.md for the full API workflow.

Quick steps:

  1. Set LinkedIn credentials as environment variables (see setup.md)
  2. Create a DMP segment (matched audience)
  3. Upload your company list (domain-based matching — LinkedIn matches ~40–60% of lists)
  4. Wait for audience to populate (typically 24–48 hours for >300 companies)
bash
# Step 1: Create matched audience
curl -s -X POST "https://api.linkedin.com/v2/dmpSegments" \
  -H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "ABM Target Accounts — Q3 2025",
    "accessPolicy": "PRIVATE",
    "destinations": [{"destination": "urn:li:sponsoredAccount:'$LINKEDIN_AD_ACCOUNT_ID'"}],
    "type": "COMPANY"
  }'

# Note the returned segment ID, then upload company list (see 05-linkedin-audiences.md)

Output: LinkedIn DMP Segment ID saved to linkedin-audience-id.txt


Phase 6 — Create & Launch the Campaigns

Goal: Create campaign groups, campaigns, and ad creatives in LinkedIn Campaign Manager.

Read 06-campaign-management.md for full campaign creation and monitoring.

Quick steps:

  1. Create a campaign group per segment
  2. Create campaigns targeting your matched audience + segment filters
  3. Upload personalized creatives as sponsored content
  4. Set budget, schedule, and bid strategy
  5. Launch

Monitoring loop (ongoing):

  • Claude checks campaign analytics daily
  • Flags underperforming ads (CTR < 0.4%, CPC > $15)
  • Suggests copy/creative tweaks
  • Refreshes audience as new accounts are added

Full Pipeline Checklist

[ ] setup.md — credentials configured
[ ] 01-account-list.md — account list built and exported
[ ] 02-enrich-score.md — accounts enriched, scored, filtered
[ ] 03-ad-templates.md — ad templates created per segment
[ ] 04-personalize-figma.md — creatives personalized per account
[ ] 05-linkedin-audiences.md — matched audience created and populated
[ ] 06-campaign-management.md — campaigns live and monitored

File Outputs Reference

FilePhaseDescription
abm-accounts-raw.csv1Raw account list from Vibe Prospecting
abm-accounts-scored.csv2Accounts with enrichment + fit scores
abm-accounts-final.csv2Filtered best-fit accounts (score ≥ threshold)
creative/templates/3HTML/CSS ad templates per segment
creative/personalized/4Per-account rendered ad images
linkedin-audience-id.txt5LinkedIn DMP segment ID
campaign-ids.json6Campaign group, campaign, creative IDs
campaign-report.csv6Daily analytics export

Troubleshooting

ProblemSolution
Vibe Prospecting auth failsRun setup from setup.md → Vibe section
LinkedIn 401 UnauthorizedAccess token expired — re-run OAuth flow in setup.md
Audience too small (<300)Broaden ICP filters in Phase 1; LinkedIn needs 300+ matched companies to serve ads
Low audience match rateUse company domains (not just names) in Phase 5 upload for better matching
Figma MCP not availableUse Option B (code-based) in Phase 4
Creatives rejected by LinkedInCheck LinkedIn ad specs in 03-ad-templates.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Abm Campaign AI skill do?

ABM campaign skill for Claude Code: run a full Account-Based Marketing campaign end-to-end — from ICP definition to live LinkedIn Ads. Builds targeted account lists with Vibe Prospecting, enriches and scores companies with real-time B2B data, generates personalized ad creatives with Claude Code and Figma, pushes matched audiences to LinkedIn Ads, and monitors campaigns daily at scale. The complete GTM skill for AI-driven account-based marketing in Claude Code, Codex, Hermes-Agent, and OpenClaw. No agency needed.

Why use Abm Campaign on TypingMind?

Because you install it once and use it with any model. Abm Campaign 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 Abm Campaign in TypingMind?

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

Which AI models can use Abm Campaign?

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 Abm Campaign?

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

Is the Abm Campaign 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇