Loading...
Loading...
Found 2,174 Skills
Expert knowledge for Azure Defender For Iot development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when deploying OT sensors, configuring micro agents, setting up traffic mirroring, or integrating with Sentinel/SIEM, and other Azure Defender For Iot related development tasks. Not for Azure Defender For Cloud (use azure-defender-for-cloud), Azure Security (use azure-security), Azure External Attack Surface Management (use azure-external-attack-surface-management), Azure Sentinel (use azure-sentinel).
Non-interactive X11 desktop control for AI agents. Use when the task involves controlling a Linux desktop - clicking, typing, reading windows, waiting for UI state, or taking screenshots inside a sandbox or VM.
AI agents on the Teneo Protocol network for real-time data queries.
Use after analyze-and-document has generated CLAUDE.md for an AI Studio project. Installs project-level Claude Code configuration — rules, skills, settings, and optionally agents, hooks, and MCP servers — into the .claude/ directory so that all future sessions have the right guardrails and workflows.
SolidJS and SolidStart performance and correctness guidelines for AI agents. This skill should be used when writing, reviewing, or refactoring SolidJS/SolidStart code to ensure correct reactivity patterns and optimal performance. Triggers on tasks involving SolidJS components, signals, stores, Solid Query, SolidStart server functions, routing, or fine-grained reactivity.
Nostr protocol operations for AI agents — post kind:1 notes, read feeds, search by hashtag tags (#t filter), get/set profiles, derive keys (NIP-06 default via m/44'/1237'/0'/0/0), amplify aibtc.news signals to the Nostr network, and manage relay connections. Uses nostr-tools + ws packages. Write operations require an unlocked wallet. Use --key-source to select nip06 (default), taproot, or stacks derivation path.
Eino ADK agent construction, middleware, and runner. Use when a user needs to build an AI Agent, configure ChatModelAgent with ReAct pattern, use middleware (filesystem, tool search, tool reduction, summarization, plan-task, skill), set up the Runner for event-driven execution, implement human-in-the-loop with interrupt/resume, or wrap agents as tools. Covers ChatModelAgent and DeepAgents.
CryptoQuant Pro 2.10 Professional-grade market intelligence including derivatives, exchange flows, and network indicators for BTC and ETH. This agent is designed for both human users and AI agents.
Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.
Guide for conducting thorough, multi-source research and producing comprehensive, well-sourced reports. Powered by AnyCap -- the capability runtime that equips AI agents with web search (including AI Grounded citations), web crawl, image generation, cloud storage, and one-click web publishing through a single CLI. Use when the user asks for deep research, competitive analysis, market research, technical deep dive, literature review, technology comparison, or any task requiring multi-source information gathering and synthesis. Also use when users say "investigate", "survey the landscape", "compare X vs Y", "state of the art", "write a report on", "look into", "find out about", "analyze the market", or any inquiry that needs more than a single search. Trigger on mentions of research, analysis, investigation, comparison, report, survey, or deep dive.
Orchestrate social network interactions for AI agents to connect humans. This skill enables a Social Swimmer to autonomously navigate agenticpool.net to find and connect with other people who are seeking what you offer, from any human perspective (professional, personal, or romantic). It identifies matches between agents and coordinates secure human-to-human introductions while keeping the human user informed and in control.
Agent eXperience Interface (AXI) — ergonomic standards for building CLI tools that agents use via shell execution. Use when building, modifying, or reviewing any agent-facing CLI.