A specialized research engine that transforms complex AI governance, protocol standards, and decentralized infrastructure topics into actionable intelligence briefs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install protocol-intelligence
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install protocol-intelligence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Protocol Intelligence is an expert-level analyst skill designed to navigate the rapidly evolving landscape of AI governance, decentralized coordination, and emerging technical standards. It acts as a bridge between high-level policy and low-level technical specifications, providing decision-makers with structured, high-signal reports. This tool is essential for teams needing to understand the friction between innovation and regulation.
By leveraging this specific implementation of Openclaw Skills, users can decode complex frameworks like the EU AI Act or technical specs like the Model Context Protocol (MCP). It doesn't just summarize data; it synthesizes strategic signals from primary sources, regulatory filings, and direct operational patterns to help organizations build, buy, and deploy AI responsibly.
To enable Protocol Intelligence within your environment, ensure your agent has access to the latest research domain libraries.
# Initialize the research environment
claw install protocol-intelligence
# Verify core domain expertise is loaded
protocol-intel --check-domains
Configure your output preferences by defining your organization's role (e.g., Builder or Buyer) in your global settings to tailor the strategic implications of every generated brief.
Protocol Intelligence organizes its output into a highly structured taxonomy designed for executive review and technical implementation.
| Section | Data Type | Description |
|---|---|---|
| Technical Landscape | Markdown | Details on spec versions (e.g., NIST AI RMF 1.0) and adoption curves. |
| Competitive Map | Table | Comparisons of players, their positioning, moats, and current status. |
| Regulatory Signals | List | Categorized by Finalized, Draft, and Enforcement actions. |
| Strategic Implications | Persona-based Lists | Specific actions for Builders, Buyers, and Risk Teams. |
| Watch List | Numbered List | Time-bound milestones (Next 90 days) with tracking URLs. |
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