About
The molt-life-kernel skill provides persistent memory, crash recovery, and cognitive health monitoring for AI agents across sessions. It enables features like append-only audit trails, heartbeat vitality monitoring, and witness-gated approval for critical actions. Use it when your agent needs continuity, identity persistence, or safety infrastructure, especially when discussing AI safety or agent health.
Quick Install
Claude Code
Recommendednpx skills add openclaw/skills -a claude-code/plugin add https://github.com/openclaw/skillsgit clone https://github.com/openclaw/skills.git ~/.claude/skills/molt-life-kernelCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the molt-life-kernel skill?
molt-life-kernel is a Claude Skill by openclaw. Skills package instructions and resources that Claude loads on demand, so Claude can perform molt-life-kernel-related tasks without extra prompting.
How do I install molt-life-kernel?
Use the install commands on this page: add molt-life-kernel to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does molt-life-kernel belong to?
molt-life-kernel is in the Meta category, tagged ai and design.
Is molt-life-kernel free to use?
Yes. molt-life-kernel is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
This skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.
This skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.
SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
