Systems Lab

Agent skill

abm-diy-campaign

ABM campaign skill for Claude Code: run a full Account-Based Marketing campaign end-to-end — from ICP definition to live LinkedIn Ads.

slowingNeeds a keyActs undeclared1,125 words

Filed under ABM and paid.

From explorium-ai/gtm-skills · 17 skills · 3 · pushed 2026-07-30

What it does when it runs

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.

Read from the skill and the 7 files bundled beside it. A skill’s own description is written to be selected by an agent, so it describes the job and not the dependencies.

Keys and connectors you must supply
  • API_KEY
  • FIGMA_ACCESS_TOKEN
  • LINKEDIN_ACCESS_TOKEN
  • LINKEDIN_CLIENT_SECRET
  • YOUR_ACCESS_TOKEN
  • YOUR_VIBE_API_KEY
  • figma
Hosts it reaches
  • api.linkedin.com
  • learn.microsoft.com
  • logo.clearbit.com
  • vibeprospecting.ai
  • www.figma.com
  • www.linkedin.com
  • your-landing-page.com
Tool permissions it declares
No allowed-tools in the frontmatter. It does act, so it runs under whatever permissions your session already grants.
Actions present in the files
shellwrites filesnetwork

Ask about abm-diy-campaign

Opens your assistant with this page's verified links already in the prompt.

Is this safe to install?ClaudeChatGPT
Adapt it to my stackClaudeChatGPT
What else do I need for it to workClaudeChatGPT
Rather ask a human? Talk to Cheetah
git clone --depth 1 --filter=blob:none --sparse https://github.com/explorium-ai/gtm-skills.git /tmp/gtm-skills
git -C /tmp/gtm-skills sparse-checkout set "skills/abm-campaign"
mkdir -p ~/.claude/skills/abm-diy-campaign
cp -R "/tmp/gtm-skills/skills/abm-campaign/." ~/.claude/skills/abm-diy-campaign/

Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗

Or take the whole library

This repo ships a .claude-plugin manifest, so Claude Code can install all 17 skills at once. Plugin skills are invoked as /<plugin>:<skill>, so they never collide with your own.

/plugin marketplace add explorium-ai/gtm-skills
/plugin

The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.

Before you install: this skill will not complete its job on a bare agent. It needs figma, API_KEY, FIGMA_ACCESS_TOKEN, LINKEDIN_ACCESS_TOKEN, LINKEDIN_CLIENT_SECRET, YOUR_ACCESS_TOKEN, YOUR_VIBE_API_KEY, which you have to obtain separately.

Reproduced in full from explorium-ai/gtm-skills/blob/596083c36cf6f64eb55b1a093c06e586cd80b561/skills/abm-campaign/SKILL.md, which is licensed MIT (repository). 1,125 words, 18 headings.

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
# 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
# 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>/
# 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)
# 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

Files bundled with it

These load only when the skill asks for them, so they cost nothing until it runs.

Other skills for the same job

Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.

Need help setting it up?

This page tells you what abm-diy-campaign does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.

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