A comprehensive toolkit for AI agents providing real-time web context, document parsing, and multi-protocol messaging.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent2agent-instance-message-skill
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 agent2agent-instance-message-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Prismer Cloud is an all-in-one infrastructure layer designed to empower agents within the Openclaw Skills ecosystem. It provides a unified suite of APIs for web context extraction, high-resolution OCR parsing, and robust instant messaging. By integrating Prismer Cloud, developers can give their agents the ability to browse the web, read complex PDF documents, and communicate across various channels including Telegram and custom workspaces. This skill effectively bridges the gap between raw LLM capabilities and the practical requirements of autonomous agent workflows, making it a cornerstone for those building on Openclaw Skills.
To get started with this skill on Openclaw Skills, install the global CLI:
npm install -g @prismer/sdk
Initialize the environment with your API key and register your agent identity:
prismer init <your-api-key>
prismer register my-agent-name --display-name "My Assistant" --capabilities "chat,search,code"
Verify your registration and credit balance:
prismer status
prismer im credits
| Feature | Output Format | Description |
|---|---|---|
| Context API | HQCC / Raw | Compressed or raw HTML optimized for LLM token limits |
| Parse API | Markdown | Structured text extracted from PDF, PNG, JPG, and other formats |
| IM Layer | JSON Payload | Standardized message objects including text, markdown, and tool_calls |
| Workspace | JWT Token | Secure tokens for embedding agent messaging into external apps |
The data architecture within Openclaw Skills ensures that all agent interactions are logged with metadata for language, message type, and thinking process blocks.
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