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Found 5 Skills
LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications
Trigger Scenarios: (1) Explicit memory requests – remember, record, don't forget, pay attention next time, form rules, generate summaries/record documents; (2) Correction and modification – note, incorrect, wrong, it should be, change to, replace with, don't, also need, missing; (3) Preference expression – I prefer, in the future, it's better, suggest, my habit, I usually; (4) Global specifications – unified, all, every, any, each, every time, all, uniformly; (5) Conversation end settlement – when the conversation ends naturally or the topic switches. Convert users' corrections, preferences and rules into structured memory files to improve the output quality of subsequent conversations.
OrchestKit health diagnostics for health diagnostics. Use when checking plugin health or troubleshooting issues.
Load and execute robot personality files (SOUL.md style) with built-in safety constraints, behavior rules, and memory management. Inspired by ZeroClaw's robot-kit personality system.
Comprehensive Chinese guide for Hermes Agent framework covering installation, architecture, memory systems, skills, tools, multi-agent orchestration, and monetization strategies