gemini-interactions-api 是做什么的？
在编写调用 Gemini API 进行文本生成、多轮对话、多模态理解、图像生成、流式响应、后台研究任务、函数调用、结构化输出或从旧的 generateContent API 迁移的代码时使用此技能。此技能涵盖了 Interactions API，这是在 Python 和 TypeScript 中使用 Gemini 模型和代理的推荐方式。
在编写调用 Gemini API 进行文本生成、多轮对话、多模态理解、图像生成、流式响应、后台研究任务、函数调用、结构化输出或从旧的 generateContent API 迁移的代码时使用此技能。此技能涵盖了 Interactions API，这是在 Python 和 TypeScript 中使用 Gemini 模型和代理的推荐方式。
此技能旨在帮助开发者和 AI 代理高效地使用 Google Gemini 的 Interactions API。它涵盖了从核心的文本生成和多轮对话，到高级的多模态理解（如处理图像和视频）、图像生成、实时流式响应以及复杂的后台研究任务等所有功能。该技能还专门指导如何实现函数调用以连接外部工具、生成符合特定模式的结构化输出，以及从旧的 generateContent API 平滑迁移。通过专注于 Python 和 TypeScript 这两种主流语言，它提供了最直接的实践指南，确保开发者能利用 Gemini 模型的最新能力构建各种 AI 应用，是使用 Gemini 系列模型（包括推理模型）的官方推荐入口。
npx skills add https://github.com/google-gemini/gemini-skills/tree/main/skills/gemini-interactions-apiInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
在编写调用 Gemini API 进行文本生成、多轮对话、多模态理解、图像生成、流式响应、后台研究任务、函数调用、结构化输出或从旧的 generateContent API 迁移的代码时使用此技能。此技能涵盖了 Interactions API，这是在 Python 和 TypeScript 中使用 Gemini 模型和代理的推荐方式。
This repo contains 4 individual skills — each has its own dedicated page.
Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.
Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), native audio features, function calling, session management, ephemeral tokens for client-side auth, live translation, and all Live API configuration options. SDKs covered - google-genai (Python), @google/genai (JavaScript/TypeScript).
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.
Guides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.