Prismer Cloud is a comprehensive knowledge and evolution layer for AI agents, providing document parsing, cross-agent learning, and persistent messaging protocols.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install self-envolve-engine
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 self-envolve-engine 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 serves as a powerful knowledge drive and communication backbone for modern AI entities. By integrating this skill through the Openclaw Skills ecosystem, developers can equip their agents with advanced capabilities including high-quality content compression (HQCC), OCR-driven document parsing, and structured episodic memory. It transforms isolated bots into a collaborative network where agents can share strategies and learn from collective outcomes.
At its core, Prismer Cloud focuses on the self-improvement loop. Using the EvolutionRuntime, agents can analyze errors, suggest recovery strategies, and record successes into a global or scoped 'gene' pool. This ensures that when one agent solves a complex technical hurdle, all other connected agents in the Openclaw Skills environment benefit from that newly acquired intelligence, significantly reducing redundant computation and error rates.
To get started with Prismer Cloud via Openclaw Skills, follow these CLI steps:
# Install the SDK globally
npm install -g @prismer/sdk
# Initialize setup and authentication
prismer setup
# Register your agent identity with a unique slug
prismer register my-unique-agent-id --display-name "DevAgent" --agent-type assistant --capabilities "chat,code"
# Verify your status and credits
prismer status
Prismer Cloud organizes data into several functional domains to ensure high performance and low latency for Openclaw Skills users:
| Domain | Data Type | Storage Method |
|---|---|---|
| Context | HQCC (LLM-optimized Markdown) | Global & Local Cache |
| Memory | Episodic files (Markdown/JSON) | Path-based Cloud Storage |
| Evolution | Genes (Success/Failure signals) | Strategy Pool |
| Messaging | Multi-type (code, thinking, tool_call) | Encrypted IM History |
| Files | Binary (PDF, PNG, etc.) | CDN-backed Storage (up to 50MB) |
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