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hanxueyuan

Marvell

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
46
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install marvell
Description
Provides in-depth insights on Marvell's evolution from storage controllers to a leading custom AI ASIC supplier for data centers.
Usage Guidance
This skill appears low-risk from a security and permissions standpoint because it contains only an informational article and requests no credentials or installs. However, the source and homepage are unknown — verify any factual claims (financial figures, dates, market rankings) against reputable sources before using this content for decisions. If you require provenance or citations, ask the publisher for sources or prefer skills that link to primary references.
Capability Analysis
Type: OpenClaw Skill Name: marvell Version: 1.0.0 The skill bundle contains purely informational content regarding Marvell Technology and its role in the AI chip market. There is no executable code, no network activity, and no instructions that attempt to manipulate the AI agent's behavior or access sensitive data. All files (_meta.json, SKILL.md) are consistent with a standard knowledge-based skill.
Capability Assessment
Purpose & Capability
The skill name/description promise (background and analysis of Marvell's transition to AI ASICs) matches the SKILL.md content. There are no unrelated requirements (no env vars, binaries, or installs) that would be inconsistent with an informational skill.
Instruction Scope
SKILL.md is static content with a small 'read_when' trigger list and an article-style briefing. It does not instruct the agent to access files, environment variables, network endpoints, or external services beyond presenting the written content.
Install Mechanism
No install spec and no code files are present, so nothing is written to disk or executed during install. This is low-risk and expected for a documentation-style skill.
Credentials
The skill declares no required environment variables, credentials, or config paths. There is no indication of disproportionate or unexplained secret access.
Persistence & Privilege
always is false and the skill does not request elevated or persistent privileges. Autonomous invocation is allowed by platform default, which is normal; the skill itself does not request additional privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install marvell
  3. After installation, invoke the skill by name or use /marvell
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release introducing the "marvell" skill, focused on Marvell Technology’s evolution from storage controllers to a leading provider of custom AI chips (ASICs). - Provides insights into Marvell’s history, strategic acquisitions, and transformation within the semiconductor industry. - Highlights Marvell’s role and advantages in AI ASIC markets, including high-speed SerDes technology and close partnership with TSMC. - Includes data on Marvell's revenue distribution and growth in data center and AI segments. - Offers analysis of competitive dynamics between Marvell, Broadcom, and major cloud providers in custom chip design.
Metadata
Slug marvell
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Marvell?

Provides in-depth insights on Marvell's evolution from storage controllers to a leading custom AI ASIC supplier for data centers. It is an AI Agent Skill for Claude Code / OpenClaw, with 46 downloads so far.

How do I install Marvell?

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

Is Marvell free?

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

Which platforms does Marvell support?

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

Who created Marvell?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

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