--- name: hermes-agent-mastery description: "Definitive mastery-level skill for Hermes Agent internals, configuration, and operations. Covers architecture, multi-provider LLM routing, gateway ops, skill authoring, cron/background jobs, memory/hindsig

--- name: openclaw-mastery description: "Complete mastery of OpenClaw — the open-source AI agent platform. Covers Docker gateway deployment, ClawHub skill ecosystem, browser automation (CamoFox/Patchright/Scrapling), multi-provider LLM config, prompt

--- name: openclaw-install description: "Deploy OpenClaw (openclaw.ai) — the open-source AI agent platform with Docker gateway, ClawHub skills, browser automation, and multi-provider LLM support." version: 1.0.0 metadata: hermes: tags: [opencla

### Single Agent Pattern ``` ┌──────────────────────────────────────────────┐ │ Single Agent │ │ ┌─────────┐ ┌─────────┐ ┌──────────────┐ │ │ │ LLM │ │ Tools │ │ Memory │ │ │ │ (Brain) │──│(Hands)

Discover, evaluate, and bulk-install Hermes Agent skills from community repos, official sources, and registries. Handles all skill types: standard SKILL.md, pip packages, Hermes plugins, and MCP serve

## Key Files & Paths | Path | Purpose | |------|---------| | `~/.hermes/skills/` | Installed skill directories (gateway scans depth 2) | | `~/.hermes/skill-repos/` | Cloned git repos for persistence + future pulls | | `/usr/local/lib/hermes-agent/opt

Install and configure Hermes WebUI (nesquena/hermes-webui) with nginx reverse proxy, SSL, and password auth.

Decomposition playbook + anti-temptation rules for an orchestrator profile routing work through Kanban. The "don't do the work yourself" rule and the basic lifecycle are auto-injected into every kanba

**Research task:** ```python kanban_complete( summary="3 competing libraries reviewed; vLLM wins on throughput, SGLang on latency, Tensorrt-LLM on memory efficiency", metadata={ "sources_read": 12, "recommendation": "vLLM",

# Key algorithms (modern, secure) HostKey /etc/ssh/ssh_host_ed25519_key HostKey /etc/ssh/ssh_host_rsa_key KexAlgorithms curve25519-sha256,curve25519-sha256@libssh.org,diffie-hellman-group16-sha512 Ciphers chacha20-poly1305@openssh.com,aes256-gcm@open

Design scalable distributed systems using structured approaches — load balancing, caching, message queues, databases, and microservices

### One-shot LLM queries (preferred over hermes chat) ```bash llm-ask "question" llm-ask groq "What is 7*8?" # Free, 212 tok/s llm-ask opencode-go "Explain X" # Default provider llm-ask openrouter "Research Y" # 33+ free m

Webhook subscriptions: event-driven agent runs.

Deploy and maintain the WhatsApp Chat Viewer — a Flask web app that reads Hermes session transcripts and displays them in a WhatsApp Web-like UI. Includes WhatsApp Bridge API integration for group nam