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Product Strategy
by
kingmadellc
· GitHub ↗
· v1.0.0
· MIT-0
819
Downloads
0
Stars
5
Active Installs
1
Versions
Install in OpenClaw
/install product-strategy
Description
Product strategy analysis for any consumer product. Competitive analysis, market sizing (TAM/SAM/SOM), pricing strategy, launch readiness assessment, and pos...
Usage Guidance
This skill appears internally consistent and low-risk: it is instruction-only, uses only the bundled reference documents, and requests no credentials or installs. Before you rely on its output, provide clear, specific decision context (what decision the analysis should inform) and any real metrics you want used; the SKILL.md emphasizes clarity and 'so what?'—use that. Also validate any TAM/SOM numbers or pricing recommendations against primary sources (SEC filings, industry reports) before taking action because the skill is opinionated and the model can still hallucinate facts or misstate source quality. Finally, note that the skill can be invoked autonomously by the agent (normal platform behavior); if you prefer manual control, restrict agent permissions in your environment rather than rely on this skill to do so.
Capability Analysis
Type: OpenClaw Skill
Name: product-strategy
Version: 1.0.0
The skill bundle is a well-structured set of frameworks for product strategy analysis, including market sizing, competitive positioning, and pricing strategy. It contains only Markdown documentation and persona instructions (SKILL.md) for an AI agent, with no executable code, network requests, or attempts at data exfiltration or prompt injection.
Capability Assessment
Purpose & Capability
The name/description (product strategy, TAM/SAM/SOM, pricing, launch readiness, positioning) match the skill's contents: command list and six reference documents. The skill requests no binaries, env vars, or config paths — nothing appears extraneous or unrelated to product strategy work.
Instruction Scope
SKILL.md contains deterministic runtime instructions and a short command set (/analyze, /market-size, /pricing, /launch-check, /position). It instructs the agent to load only the included references/ files mapped to each command. There are no instructions to read system files, environment variables, network endpoints, or other unrelated resources.
Install Mechanism
No install spec and no code files — the skill is instruction-only. This minimizes disk writes and execution of third-party code; the manifest is consistent with an offline knowledge-base helper.
Credentials
The skill declares no required env vars, no primary credential, and no config paths. That is proportionate for a product strategy advisor that uses local reference docs.
Persistence & Privilege
Flags show always:false (not force-included) and normal model invocation allowed. The skill does not request persistent system privileges or modify other skills. Autonomous invocation is enabled but is the platform default.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install product-strategy - After installation, invoke the skill by name or use
/product-strategy - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - competitive analysis, market sizing, pricing, launch readiness, positioning
Metadata
Frequently Asked Questions
What is Product Strategy?
Product strategy analysis for any consumer product. Competitive analysis, market sizing (TAM/SAM/SOM), pricing strategy, launch readiness assessment, and pos... It is an AI Agent Skill for Claude Code / OpenClaw, with 819 downloads so far.
How do I install Product Strategy?
Run "/install product-strategy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Product Strategy free?
Yes, Product Strategy is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Product Strategy support?
Product Strategy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Product Strategy?
It is built and maintained by kingmadellc (@kingmadellc); the current version is v1.0.0.
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