Claude AI Product Launch Skill: Structured Playbooks for AI Product Launches

A developer has created a Claude skill specifically designed for AI product launches, addressing the problem of fragmented launch knowledge scattered across documents, notes, and personal experience. The skill structures launch workflows so Claude can provide more reliable assistance with strategy, preparation, messaging, and channel execution.
What the Skill Covers
The skill includes six battle-tested launch playbooks that have been used behind 30 Product Hunt #1 launches, 6,000+ GitHub stars in 7 days, and reach in 100+ countries. It covers:
- Product Hunt launch planning
- Reddit marketing
- KOL outreach
- UGC growth
- Launch templates and reference tools
- Strategy, preparation, and execution workflows
Practical Applications
After implementing the playbooks, users can leverage Claude to:
- Pressure-test launch plans
- Refine messaging
- Localize content
- Structure timelines
- Turn scattered launch ideas into operational plans
Underlying Principles
The skill is built on several key principles:
- User first, start with value
- Content is king, channels are amplifiers
- Think global, execute local
- Quality over quantity
Structure and Organization
The launch playbook is organized as:
- Core strategy
- Preparation SOP
- Product launch workflow
- Product Hunt launch guide
- Channel templates
- Tools / references
The material is organized by launch stage for practical use rather than as a static document. The repository includes English and Chinese materials, with navigation for other language resources.
Broader Implications
The developer notes this approach represents less of a "prompt collection" and more of a "curated knowledge base + structured execution framework for Claude." They suggest this pattern could work for other workflows including partnerships, community operations, growth experiments, GTM planning, and internal enablement.
The skill is free to try and available on GitHub. The developer encourages others building similar Claude-first systems to share their approaches.
📖 Read the full source: r/ClaudeAI
👀 See Also

OpenClaw user creates 'feelslikeclaude' skill to improve ChatGPT agent workflow behavior
A developer switched their OpenClaw setup from Claude to ChatGPT and found the key difference was workflow behavior, not writing style. They created a clawhub skill called 'feelslikeclaude' to nudge ChatGPT toward better execution habits.

Cloudflare's vinext: A Next.js-compatible framework built with AI on Vite
Cloudflare engineers rebuilt Next.js API surface on Vite using AI in one week, creating vinext - a drop-in replacement that builds 4x faster and produces 57% smaller bundles. It deploys to Cloudflare Workers with a single command.

Phaselock: An AI Agent Control System Inspired by Parenting Techniques
Phaselock is an open-source Agent Skill that implements four control mechanisms for AI coding agents: explicit gates before action, immediate feedback on mistakes, constrained choices, and mechanical rule enforcement. It works with Claude Code, Cursor, Windsurf, and any tool supporting hooks.

Relational Memory for LLMs: Three-Layer System Models User Relationships
An open-source Python tool that adds relational memory to LLMs by modeling user-AI relationships across seven psychological dimensions, using a three-layer narrative structure instead of flat fact storage.