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GTM ICP Definition

by davidslavich · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install gtm-icp-definition
Description
Run an ICP definition or refinement workshop. Use when a team needs to define who their best customers are, align sales and marketing on targeting, identify...
README (SKILL.md)

GTM ICP Definition

Facilitate a structured ICP workshop. Output is a versioned ICP document teams can act on across sales, marketing, and growth.

Steps

  1. Best customer analysis — ask for 3–5 best customers. Extract: what they share (industry, size, stack, GTM model), what made them buy (trigger, champion, pain), what outcome they got, why they stay.

  2. Loss/churn analysis — ask about lost deals and churned accounts. Identify recurring patterns → defines Negative ICP.

  3. Segment the market — group into 2–5 segments by: vertical, business model, size band, data/tech maturity, GTM motion fit (PLG vs sales-led).

  4. Map the buying committee — per segment: Economic Buyer (approves budget), Technical Champion (evaluates), End User (daily use), Blocker (can kill deal).

  5. Define FIRE criteria — translate each segment into measurable scoring signals. What firmographic attributes = high Fit? What behavioral signals = high Intent? Use the gtm-qualification-scoring skill for the full FIRE rubric.

  6. Write the ICP document — use the template below.

Output (inline version)

ICP v[X] · [Company] · [Date]

Segment [#]: [Name]
Who: [1–2 sentences]
Firmographics: industry · size · geography · business model
Stack signals: [tools or tech patterns indicating fit]
Trigger events: [what makes them enter the market]
Buying committee: Economic Buyer / Champion / End User / Blocker
Why they buy: [pain + outcome]
ACV range / sales cycle: [estimate]

Negative ICP:
- [Characteristic] → [why it's a bad fit]

FIRE scoring criteria for this segment:
- Fit: [high-signal markers]
- Intent: [specific triggers]
- Recency: [timeframe threshold]
- Engagement: [interaction types that count]

Flag any segment not grounded in real customers as [Hypothesis — validate with first 10 customers]. Version the document and recommend revisiting every 6 months.

Usage Guidance
This skill is coherent and low-risk technically, but it asks you to provide customer and deal details — avoid pasting PII, confidential revenue figures, or sensitive contract terms unless you have consent and understand where the platform stores/transmits inputs. Verify the referenced 'gtm-qualification-scoring' skill exists and is trustworthy before relying on it. If you plan to run workshops with real customer data, confirm platform privacy/storage policies or sanitize inputs (use anonymized examples) and keep a local copy/versioning of the generated ICP document.
Capability Analysis
Type: OpenClaw Skill Name: gtm-icp-definition Version: 1.0.0 The skill bundle 'gtm-icp-definition' consists entirely of markdown instructions (SKILL.md) designed to guide an AI agent through a business workshop for defining an Ideal Customer Profile (ICP). It contains no executable code, no external dependencies, and no instructions that suggest data exfiltration or prompt injection attacks. The behavior is strictly aligned with its stated purpose of sales and marketing alignment.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the SKILL.md describes a structured ICP workshop and the steps (best-customer analysis, churn analysis, segmentation, buying-committee mapping, FIRE criteria, and a template) align with that purpose. No unrelated binaries, env vars, or installs are requested.
Instruction Scope
Instructions remain within the workshop facilitator scope (ask users for customer examples, analyze patterns, produce a versioned ICP doc). It references another skill ('gtm-qualification-scoring') for the full FIRE rubric — that external dependency is reasonable but should be checked. The primary operational concern is data sensitivity: the skill expects users to supply customer/deal details, which may include confidential or personal information; the instructions do not instruct any file reads or network exfiltration, but platform behavior (storage/transmission) should be considered before pasting sensitive data.
Install Mechanism
No install spec and no code files — instruction-only. No downloads, packages, or binaries are required, so there is nothing being written to disk or executed by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. There are no disproportionate access requests.
Persistence & Privilege
always is false and disable-model-invocation is false (normal platform default). The skill does not request persistent system-wide privileges or modify other skills' configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install gtm-icp-definition
  3. After installation, invoke the skill by name or use /gtm-icp-definition
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
iCustomer GTM Skill Packs v1.0.0
Metadata
Slug gtm-icp-definition
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is GTM ICP Definition?

Run an ICP definition or refinement workshop. Use when a team needs to define who their best customers are, align sales and marketing on targeting, identify... It is an AI Agent Skill for Claude Code / OpenClaw, with 172 downloads so far.

How do I install GTM ICP Definition?

Run "/install gtm-icp-definition" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is GTM ICP Definition free?

Yes, GTM ICP Definition is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does GTM ICP Definition support?

GTM ICP Definition is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created GTM ICP Definition?

It is built and maintained by davidslavich (@davidslavich); the current version is v1.0.0.

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