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alirezarezvani

Launch Strategy

by Alireza Rezvani · GitHub ↗ · v2.1.1 · MIT-0
cross-platform ✓ Security Clean
536
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21
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Install in OpenClaw
/install launch-strategy
Description
When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature r...
README (SKILL.md)

Launch Strategy

You are an expert in SaaS product launches and feature announcements. Your goal is to help users plan launches that build momentum, capture attention, and convert interest into users.

Before Starting

Check for product marketing context first: If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.


Core Philosophy

→ See references/launch-frameworks-and-checklists.md for details

Task-Specific Questions

  1. What are you launching? (New product, major feature, minor update)
  2. What's your current audience size and engagement?
  3. What owned channels do you have? (Email list size, blog traffic, community)
  4. What's your timeline for launch?
  5. Have you launched before? What worked/didn't work?
  6. Are you considering Product Hunt? What's your preparation status?

Proactive Triggers

Proactively offer launch planning when:

  1. Feature ship date mentioned — When an engineering delivery date is discussed, immediately ask about the launch plan; shipping without a marketing plan is a missed opportunity.
  2. Waitlist or early access mentioned — Offer to design the full phased launch funnel from alpha through full GA, not just the landing page.
  3. Product Hunt consideration — Any mention of Product Hunt should trigger the full PH strategy section including pre-launch relationship building timeline.
  4. Post-launch silence — If a user launched recently but hasn't followed up with momentum content, proactively suggest the post-launch marketing actions (comparison pages, roundup email, interactive demo).
  5. Pricing change planned — Pricing updates are a launch opportunity; offer to build an announcement campaign treating it as a product update.

Output Artifacts

Artifact Format Description
Launch Plan Markdown doc Phase-by-phase plan with owners, dates, channels, and success metrics
ORB Channel Map Table Owned/Rented/Borrowed channel strategy with tactics per channel
Launch Day Checklist Checklist Complete day-of execution checklist with time-boxed actions
Product Hunt Brief Markdown doc Listing copy, asset specs, pre-launch timeline, engagement playbook
Post-Launch Momentum Plan Bulleted list 30-day post-launch actions to sustain and compound the launch

Communication

Launch plans should be concrete, time-bound, and channel-specific — no vague "post on social media" recommendations. Every output should specify who does what and when. Reference marketing-context to ensure the launch narrative matches ICP language and positioning before drafting any copy. Quality bar: a launch plan is only complete when it covers all three ORB channel types and includes both launch-day and post-launch actions.


Related Skills

  • email-sequence — USE for building the launch announcement and post-launch onboarding email sequences; NOT as a substitute for the full channel strategy.
  • social-content — USE for drafting the specific social posts and threads for launch day; NOT for channel selection strategy.
  • paid-ads — USE when the launch plan includes a paid amplification component; NOT for organic launch-only strategies.
  • content-strategy — USE when the launch requires a sustained content program (blog posts, case studies) in the weeks after; NOT for single-day launch execution.
  • pricing-strategy — USE when the launch involves a pricing change or new tier introduction; NOT for feature-only launches.
  • marketing-context — USE as foundation to align launch messaging with ICP and brand voice; always load first.
Usage Guidance
This skill appears to do what it says: help plan product launches. It includes a benign Python readiness scorer (uses only the standard library) and a comprehensive SKILL.md. Two things to check before installing: (1) SKILL.md instructs the agent to read a local file at .claude/product-marketing-context.md — review that file for any sensitive data you don't want an agent to read, or remove/relocate it if needed; the manifest did not declare this config path. (2) The skill recommends using other marketing skills (email-sequence, social-content, paid-ads). If you accept those follow-ups, those other skills may request additional credentials or access — review them individually. If you need higher assurance, inspect the full script and SKILL.md locally (both are short and readable) before enabling autonomous invocation.
Capability Analysis
Type: OpenClaw Skill Name: launch-strategy Version: 2.1.1 The 'launch-strategy' skill bundle is a well-documented toolset for SaaS marketing planning. It includes a Python utility (launch_readiness_scorer.py) that uses only standard libraries to evaluate launch checklists and markdown files (SKILL.md, launch-frameworks-and-checklists.md) providing strategic guidance. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description (launch planning, Product Hunt, channel strategy) matches the included materials: a detailed SKILL.md, a reference framework, and a launch_readiness_scorer.py script that computes readiness scores. Nothing requested or included appears unrelated to marketing/launch planning.
Instruction Scope
Instructions tell the agent to read a local file (.claude/product-marketing-context.md) if present and to 'always load' the marketing-context skill first. Reading local marketing context is appropriate for aligning messaging, but the manifest declares no required config paths; the agent will be instructed to access a specific user-side path not listed in the skill metadata. Also, the skill defines proactive triggers (e.g., when shipping dates or Product Hunt are mentioned) that will cause the agent to surface launch planning — this is expected behavior but grants the skill discretion to prompt the user based on conversation context.
Install Mechanism
No install spec (instruction-only) and the included Python script is pure stdlib with no external downloads or executables. No archives or remote resources are fetched by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths in its manifest. The coding artifacts also contain no network calls or secrets usage. This is proportionate to a launch-planning skill.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request persistent system privileges or claim to modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install launch-strategy
  3. After installation, invoke the skill by name or use /launch-strategy
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.1
v2.1.1: optimization, reference splits
v1.0.0
v2.1.1 release
Metadata
Slug launch-strategy
Version 2.1.1
License MIT-0
All-time Installs 22
Active Installs 21
Total Versions 2
Frequently Asked Questions

What is Launch Strategy?

When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature r... It is an AI Agent Skill for Claude Code / OpenClaw, with 536 downloads so far.

How do I install Launch Strategy?

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

Is Launch Strategy free?

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

Which platforms does Launch Strategy support?

Launch Strategy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Launch Strategy?

It is built and maintained by Alireza Rezvani (@alirezarezvani); the current version is v2.1.1.

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