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Found 183 Skills
Create custom Genfeed nodes using the SDK. Triggers on "create a new node", "add a custom node type", "build a node for X".
Expert guide for the NotebookLM CLI (`nlm`) - a command-line interface for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of "nlm", "notebooklm", "notebook lm", "podcast generation", "audio overview", or any NotebookLM-related automation task.
문제를 분석하여 Agent Teams를 자동 구성하고, 4가지 조율 패턴(distribute/monitor/discourse/sequence) 중 최적 패턴으로 협업한다. "/teams {문제 설명}"으로 호출한다.
An agent that helps relationship managers prepare for upcoming client meetings by synthesizing a tailored Point of View and detailed Speaker Notes from multiple information sources.
Execute plan files by launching multiple parallel subagents to complete tasks simultaneously. Triggers on explicit "/parallel-task" commands.
使用 Gemini 图像生成 API 生成或修改图片。支持自定义 API Key 和 Base URL。
Provides information about how to create, structure, install, and audit Agent Skills, Plugins, Antigravity Workflows, and Sub-agents. Trigger this when specifications, rules, or best practices for the ecosystem are required.
Configure and orchestrate Claude Code agent teams (TeamCreate, SendMessage, TaskUpdate workflow). Use when you need multiple agents working in parallel on a complex task, want to coordinate background agents with messaging, or are setting up a lead/teammate architecture with a shared task list. Teams are experimental — enable with --enable-teams flag.
Audit and optimize Claude Code configuration with dynamic best-practice research
Use when the user wants stable structured fields, required keys, reliable machine-readable sections, or downstream-consumable output from one model request, including `.output(...)`, field ordering, and `ensure_keys`.
Design exploration with parallel agents. Use when brainstorming ideas, exploring solutions, or comparing alternatives.
Reset the FPF reasoning cycle to start fresh