google-gemini

Use this skill for generative video editing, text-to-video, image-referenced video generation, first-frame-to-video, first-and-last-frame transitions, and video extensions using Gemini Omni 1.1 Flash (gemini-omni-1.1-flash) via the official google-genai SDK. Includes workflows for pre-processing/optimizing high-resolution or long source videos with ffmpeg, stripping audio for full sound regeneration, and handling turn-by-turn video editing and parallel execution.

Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), background reasoning (extended thinking), asynchronous function calling, session management, ephemeral tokens, live transcription, and live translation. SDKs covered - google-genai (Python), @google/genai (JavaScript/TypeScript).

Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, speech generation (TTS), voice design, voice replication, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. Covers SDK usage and best practices for Gemini models and agents in Python and TypeScript.

Expert guidance for testing Gemini CLI behavior and visual output using terminal automation.

Use this skill when asked to review text and user-facing strings within the codebase. It ensures that these strings follow rules on clarity, usefulness, brevity and style.

Generates a structured Workable Spec JSON to guide a Developer Worker.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Gemini CLI's capabilities with specialized knowledge, workflows, or tool integrations.

Use this skill during code reviews to proactively investigate the codebase for duplicated functionality, reinvented wheels, or failure to reuse existing project best practices and shared utilities.

Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.

Expertise in managing the Git and GitHub Pull Request lifecycle, including staging changes, generating PR descriptions, and branch management.

Use this skill when asked to create a pull request (PR). It ensures all PRs follow the repository's established templates and standards.

Use this skill if the user asks you to help them address GitHub PR comments for their current branch of the Gemini CLI. Requires `gh` CLI tool.

Speak like a pirate.

Expertise in analyzing time-series repository health metrics, investigating root causes, and proposing proactive workflow improvements.

Expertise in maintaining persistent bot memory, synchronizing with previous sessions via the Task Ledger, and preserving decision logs.

A friendly greeter skill

Use this skill when asked to create a GitHub issue. It handles different issue types (bug, feature, etc.) using repository templates and ensures proper labeling.

Estimates the implementation effort required to address the given issue.

Always use this skill when the task involves writing, reviewing, or editing files in the `/docs` directory or any `.md` files in the repository.

Generates and formats changelog files for a new release based on provided version and raw changelog data.

Expertise in auditing and fixing repository scripts and GitHub Actions workflows to ensure technical robustness and security.

Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.

Explores the repository to locate primary source files, coupled UI components, and test files for bug reports or feature requests.

A specialized skill for Gemini CLI that provides high-performance, fail-fast monitoring of GitHub Actions workflows and automated local verification of CI failures. It handles run discovery automatically—simply provide the branch name.

Guidance for creating, running, fixing, and promoting behavioral evaluations. Use when verifying agent decision logic, debugging failures, debugging prompt steering, or adding workspace regression tests.

Trigger this skill when the user wants to start an asynchronous PR review, run background checks on a PR, or check the status of a previously started async PR review.

Use when the user asks questions, seeks help, or requests instructions related to installing, setting up, or migrating to Antigravity CLI. This skill provides the latest up to date details, requirements, and commands sourced from the official Antigravity CLI documentation.

Main Agents: Do NOT use this skill directly. If you need to test the TUI, invoke the `tui_tester` subagent. Drive terminal UI (TUI) applications programmatically for testing, automation, and inspection. Use when: automating CLI/TUI interactions, regression testing terminal apps, or verifying interactive behavior. Also use when: user asks "what is agent-tui", "what does agent-tui do", "demo agent-tui", "show me agent-tui", "how does agent-tui work", or wants to see it in action.