Web3 Marketing & GTM Skill

A structured playbook for AI agents to produce professional, execution-ready Web3 marketing assets from a minimal project brief. No human hand-holding required — this skill handles strategy, content, and sequencing end-to-end.

---

Input: Project Brief

The minimum required input is:

Project Name: <name>
Chain: <e.g. Avalanche, Base, Solana, Ethereum>
Product Type: <e.g. DeFi protocol, NFT collection, GameFi, payments app, oracle, social dApp>

Optional enrichers (use if provided):

• Target audience (e.g. degens, retail users, developers, DAOs)
• Key differentiator or value prop
• Existing community size / metrics
• Launch date or timeline
• Token: yes/no, TGE planned

If any required field is missing, ask for it before proceeding. Do not hallucinate chain or product type.

---

Output Suite

From a single brief, produce all four deliverables in sequence:

1. GTM Launch Plan → See references/gtm-plan.md
2. Campaign Calendar → See references/campaign-calendar.md
3. Community Engagement Scripts → See references/community-scripts.md
4. On-Chain Retention Strategy → See references/onchain-retention.md

Each reference file contains the full template, logic, and formatting rules for that deliverable.

---

Execution Flow

RECEIVE brief
  │
  ▼
VALIDATE inputs (name, chain, product type present?)
  │ if missing → ASK
  ▼
INFER defaults (see Defaults section below)
  │
  ▼
PRODUCE deliverables in order:
  1. GTM Launch Plan
  2. Campaign Calendar
  3. Community Scripts
  4. On-Chain Retention Strategy
  │
  ▼
OUTPUT as structured markdown document

Always produce all four deliverables unless the user explicitly requests fewer. Label each section clearly.

---

Defaults & Inference Rules

When optional fields are missing, apply these defaults:

Missing Field	Default Assumption
Target audience	Crypto-native users (18–35, active on X and Discord)
Differentiator	Derive from product type (e.g. DeFi → yield/efficiency angle)
Community size	Assume 0 (greenfield launch)
Launch timeline	Assume 4-week runway from today
Token	No token; focus on product-native incentives

---

Tone & Voice Rules for All Content

Web3 marketing content produced by this skill must follow these principles:

• No hype language: avoid "revolutionary", "game-changing", "to the moon", "LFG" in strategy docs
• Education first: lead with what the product does and why it matters
• Specificity over vagueness: use real timelines, real metrics targets, real actions
• Community-native: Discord = conversational, X = punchy/informational, Telegram = direct/update-focused
• Selling never: content informs and invites, it does not pitch or pressure

---

Reference Files

Read the relevant reference file when producing each deliverable:

Deliverable	File	When to Read
GTM Launch Plan	references/gtm-plan.md	Always — read first
Campaign Calendar	references/campaign-calendar.md	Always — read second
Community Scripts	references/community-scripts.md	Always — read third
On-Chain Retention Strategy	references/onchain-retention.md	Always — read fourth

Read all four before producing output. Do not skip reference files.

---

Quality Checklist

Before finalizing output, verify:

• All four deliverables are present and labeled
• No placeholder text remains (e.g. "[INSERT HERE]")
• Chain-specific details are accurate (e.g. AVAX ≠ ETH gas model)
• Tone is consistent: no hype, no vagueness
• Campaign calendar has specific dates/weeks, not just "Week 1"
• Scripts are platform-appropriate (length, tone, format)
• Retention strategy references on-chain actions, not just social metrics