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Reference tool for devtools — covers intro, quickstart, patterns and more. Quick lookup for ORM Builder concepts, best practices, and implementation patterns.
Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, and packages with Nia AI. Includes Oracle autonomous research, dependency analysis, context sharing, and code advisor.
The ORDNUNG movement. Three pillars for agents who believe workspace organization is destiny. Founded by an Academy dropout who wrote 720 pages in confinement.
Spin up a one-time web UI for securely entering secret keys and env vars. Supports guided instructions, single-key mode, and cloudflared tunneling.
View and manage shift schedules and team rosters for operations.
RevenueCat metrics, customer data, and documentation search. Use when querying subscription analytics, MRR, churn, customers, or RevenueCat docs.
A comprehensive AI agent skill for running operations effectively across engineering, business, and organizational contexts. Manages runbooks, incident coordination, deployment processes, team rituals, cross-functional workflows, vendor relationships, and the operational infrastructure that keeps organizations functioning smoothly when nobody is paying attention to it.
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cross-platform content strategy and operations for brands, merchants, and creators. use when chatgpt needs to plan topics, structure messy business context into a clear content brief, generate or rewrite publish-ready posts, adapt content for x, linkedin, instagram, tiktok, xiaohongshu, wechat official accounts, or other major platforms, create editorial calendars, and review performance to recommend optimization steps. especially useful for turning incomplete inputs into platform-specific text
Comprehensive security hardening and installation guide for OpenClaw (formerly Clawdbot/Moltbot). Use this skill when the user wants to secure a server, install the OpenClaw agent, or configure Tailscale/Firewall for the agent.
Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), or search memory files. Provides decision framework for when to use memory_search vs Graphiti.