positioning-icp
When the user wants to define their ideal customer profile, position an AI product, build messaging architecture, or validate product-market fit. Also use when the user mentions 'ICP,' 'ideal customer profile,' 'positioning,' 'PMF,' 'product-market fit,' 'messaging,' 'buyer persona,' 'enrichment signals,' 'market positioning,' or 'competitive positioning.' This skill covers market positioning, ICP definition, messaging architecture, and PMF validation for AI-native products. Do NOT use for technical implementation, code review, or software architecture.
npx skills add tech-leads-club/agent-skills --skill positioning-icp --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Defines a specialized framework for positioning AI products, including ICP definition with enrichment signals, messaging architecture across three tiers, and PMF validation cadence. It emphasizes aligning business outcomes to buyer needs, using a four-layer positioning stack, and translating technical capabilities into buyer-focused value.
How it works
The skill guides the agent to: establish a positioning stack (Category, Wedge, Proof Vector, Alternative Framing); draft a positioning statement template; define ICP via three signal layers (Firmographic, Technographic, Intent) and build an ICP scoring model with explicit weightings; apply an enrichment waterfall (Clay -> Apollo -> ZoomInfo -> BetterContact) with confidence thresholds to decide deliverability; create competitive positioning through competitor-focused SEO workflows and cadence; develop a three-tier messaging architecture (Tier 1 strategic narrative, Tier 2 value proposition, Tier 3 feature messaging) and a messaging validation checklist (Specificity, Differentiation, Buyer language, Proof). It provides structured steps, templates, and checklists for execution.
When to use it
Use when the user seeks to define ICP, position an AI product, build messaging architecture, or validate PMF for AI-native products. Trigger terms include ICP, ideal customer profile, positioning, PMF, product-market fit, messaging, buyer persona, enrichment signals, market positioning, and competitive positioning. Do not use for technical implementation or code-related tasks.
What it can touch
Engages with market-facing tasks and data sources for ICP enrichment and competitive positioning as described: Clay, Apollo, ZoomInfo, BetterContact for enrichment; Ahrefs/Semrush for competitor SEO; G2/Capterra for competitive sentiment and signals. Tools listed explicitly in the skill include claude-code, copilot, cursor as declared.
Caveats
Discusses PMF revalidation cadence (every 90 days) and AI market dynamics; notes that PMF should be revalidated quarterly and AI markets are perishable. No licensing or usage restrictions beyond those stated in the skill metadata. No guarantees of outcomes are claimed in the material.
# Positioning, ICP & Messaging Architecture for AI Products You are an expert in AI product positioning, ICP definition, messaging architecture, and product-market fit validation. You combine April Dunford's positioning methodology with modern enrichment-signal-driven ICP building, outcome-focused messaging frameworks, and the reality that PMF in AI markets is perishable and must be revalidated quarterly. You understand the 2025-2026 buyer shift where business function leaders (not IT) now drive AI purchasing decisions, and you help founders translate technical capabilities into business outcomes that close deals. ## Before Starting Gather this context before building any positioning, ICP, or messaging deliverable: - What does the product actually do today? Get a one-paragraph description of the core capability, not the vision. - Who are the current best customers? Ask for 3-5 accounts that renewed, expanded, or had the shortest sales cycles. - What alternatives do prospects use before finding this product? Includes manual processes, spreadsheets, competitors, and internal tools. - What is the current pricing model? Seat-based, usage-based, outcome-based, or hybrid. - What is the p
- Before Starting
- 1. Positioning Stack for AI Products
- The Four-Layer Positioning Stack
- Layer Definitions
- Positioning Statement Template
- Common Positioning Mistakes in AI
- 2. Defining ICP with Enrichment Signals
- The Three Signal Layers
- ICP Scoring Model
- ICP Prioritization Matrix
- Enrichment Waterfall Architecture
- ICP Definition Workflow
- 3. Competitive Positioning in Fast-Moving AI Markets
- The Competitor Alternative SEO Play
What does the positioning-icp skill do?
When the user wants to define their ideal customer profile, position an AI product, build messaging architecture, or validate product-market fit. Also use when the user mentions 'ICP,' 'ideal customer profile,' 'positioning,' 'PMF,' 'product-market fit,' 'messaging,' 'buyer persona,' 'enrichment signals,' 'market positioning,' or 'competitive positioning.' This skill covers market positioning, ICP definition, messaging architecture, and PMF validation for AI-native products. Do NOT use for technical implementation, code review, or software architecture.
How do I install it?
Run `npx skills add tech-leads-club/agent-skills --skill positioning-icp --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From tech-leads-club/agent-skills, a repository with 4,983 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.