其他 AI 技能

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everclaw

Open-source first AI inference — GLM-5 as default, Claude as fallback only. Own your inference forever via the Morpheus decentralized network. Stake MOR tokens, access GLM-5, GLM-4.7 Flash, Kimi K2.5, and 30+ models with persistent inference by recycling staked MOR. Open-source first model router routes all tiers to Morpheus by default — Claude only kicks in as an escape hatch when needed. Includes Morpheus API Gateway bootstrap for zero-config startup, OpenAI-compatible proxy with auto-session management, automatic retry with fresh sessions, OpenAI-compatible error classification to prevent cooldown cascades, multi-key auth rotation v2 with proactive DIEM balance monitoring and reactive 402 watchdog, Gateway Guardian v5 with direct curl inference probes (eliminates Signal spam), proactive Venice DIEM credit monitoring, circuit breaker for stuck sub-agents, nuclear self-healing restart, always-on proxy-router with launchd auto-restart, smart session archiver, three-shift cyclic execution engine (v2 with 15-minute execution loops), 24/7 always-on power configuration for macOS, bundled security skills, zero-dependency wallet management via macOS Keychain, x402 payment client for agent-to-agent USDC payments, ERC-8004 agent registry reader for discovering trustless agents on Base, and hardware-aware local Ollama fallback with auto model selection (Qwen3.5 family, 1.5B–72B based on available RAM/GPU).

作者

openclaw

Comprehensive guide for installing, configuring, operating, and troubleshooting OpenClaw — a self-hosted, multi-channel AI agent gateway. Use when the user asks about OpenClaw setup, configuration, channel management (WhatsApp/Telegram/Discord/Slack/iMessage/etc.), model provider setup, Gateway operations, multi-agent routing, security hardening, troubleshooting, or any maintenance task related to their local OpenClaw installation. Also use when encountering errors from `openclaw` CLI commands or the Gateway daemon.

作者

daobrew-wellness

"DaoBrew Wellness is a biometric stress detection and micro-recovery skill powered by Traditional Chinese Medicine theory. It reads health data (Apple Watch via DaoBrew Health Sync, Apple Health, Health Connect, or DaoBrew Cuff) and identifies five stress patterns: Tension, Overdrive, Stagnation, Constriction, Depletion. Use this skill whenever: the user has been coding for 30+ minutes without a break, the user mentions feeling stressed/tired/burned out/unfocused, the user asks about their health or energy state, you notice a long unbroken work session, the user asks for a break or recovery suggestion, OR at regular intervals during extended work sessions (every 30 minutes recommended). This skill should be checked proactively — don't wait for the user to ask. Developers who install this skill want their agent to watch out for them."

作者

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