后端与 API

data-manager-api-audience-ingestion

19Kbackend-api

Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).

data-manager-api-setup

19Kbackend-api

Guides developers through client library installation and authentication setup steps for the Data Manager API. Use this skill when a user is getting started with the Data Manager API and needs to setup their local environment, install the client library, or setup access to the API. Don't use for implementing audience or event ingestion logic (use the data-manager-api-audience-ingestion or data-manager-api-event-ingestion skills instead).

jotai

17Kbackend-api

Jotai adapter for json-render's StateStore interface. Use when integrating json-render with Jotai for state management via @json-render/jotai.

vercel-labs

redux

Redux adapter for json-render's StateStore interface. Use when integrating json-render with Redux or Redux Toolkit for state management via @json-render/redux.

vercel-labs

zustand

Zustand adapter for json-render's StateStore interface. Use when integrating json-render with Zustand for state management via @json-render/zustand.

vercel-labs

google-analytics-data-api-basics

用于管理 Google Analytics 报表数据，通过 Cloud CLI 启用 Analytics Data API，并使用 Google Analytics Data API (v1beta) 生成报表。当需要与 Google Analytics 媒体资源交互、运行自定义分析报表、查询指标（如 activeUsers、screenPageViews）和维度（如 city、date）、检查指标与维度的兼容性，或验证 API 启用状态时使用。请勿用于 Google Analytics Admin API 操作（如创建媒体资源、管理用户）或前端追踪代码安装。

google-analytics-admin-api-basics

用于管理 Google Analytics 账号与媒体资源设置，支持通过 Cloud CLI 启用 Analytics Admin API、查询账号及媒体资源列表，并管理数据流、自定义维度、转化事件与产品集成。当需要通过代码/程序化方式配置 Google Analytics 账号、新建媒体资源、设置数据留存、配置 Measurement Protocol 密钥，或者管理 Firebase 与 Google Ads 账号关联时，使用此 Skill。

google-cloud-networking-observability

通过分析日志、指标和诊断信息排查 Google Cloud 网络问题。适用于排查 VPC Flow Logs（含成本估算）、NAT、防火墙或威胁日志，查询延迟与吞吐量指标，或运行 Connectivity Tests 进行路径诊断。请勿用于通用 VM 管理或非可观测性任务。

agent-platform-tuning

Agent Platform 模型微调。当需要使用 Agent Platform 基础设施微调开源模型（Open Models）或 Gemini 模型时使用此 Skill。请勿用于 Agent Platform 之外的模型训练、将模型部署到 Endpoint（请使用 `agent-platform-deploy`），或管理推理服务 Endpoint（请使用 `agent-platform-endpoint-management`）。

bigquery-basics

管理 BigQuery 中的数据集、表和作业。当您需要与 BigQuery 交互、运行 SQL 查询、管理 BigQuery 资源（数据集、表、视图）或执行基本数据导入和分析时使用。

agent-platform-inference

连接到 Google Cloud Agent Platform GenAI 模型并执行推理，包括第一方 Gemini 模型和第三方 OpenMaaS 模型（Llama、DeepSeek、Qwen 等）。当你需要生成调用 Gemini 或 OpenMaaS 模型的代码、使用 GenAI SDK、OpenAI SDK 或旧版 Agent Platform SDK 进行身份验证、配置基础 URL 和全局/区域端点，或排查 429 Resource Exhausted (DSQ)、400 User Validation 或 404 Not Found 错误时使用。不要用于将模型部署到端点或运行模型评估。

lark-base

14Kbackend-api

飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、workflow、角色权限；遇到 Base/多维表格/bitable 或 /base/ 链接时使用。文件导入转 lark-drive，认证/授权转 lark-shared。

larksuite

minimax-music-playlist

13Kbackend-api

Generate personalized music playlists by analyzing the user's music taste and generation feedback history. Triggers on any request involving playlist generation, music taste profiling, or personalized music recommendations. Supports multilingual triggers — match equivalent phrases in any language.

minimax-ai

pr-review

13Kbackend-api

Review pull requests for the MiniMax Skills repository. Use when reviewing PRs, validating new skill submissions, or checking existing skills for compliance. Run the validation script first for hard checks, then apply quality guidelines for content review. Triggers: PR review, pull request, validate skill, check skill.

minimax-ai

gif-sticker-maker

13Kbackend-api

Convert photos (people, pets, objects, logos) into 4 animated GIF stickers with captions. Use when: user wants to create cartoon stickers, GIF expressions, emoji packs, animated avatars, or convert photos to Funko Pop / Pop Mart blind box style animations. Triggers: sticker, GIF, cartoon, emoji, expression pack, avatar animation.

minimax-ai

convert-documents-to-markdown

12Kbackend-api

Convert Word (.doc, .docx), PowerPoint (.ppt, .pptx), Excel (.xls, .xlsx), OpenDocument (.odt, .ods, .odp), RTF, EPUB, CSV, and PDF files to GitHub-Flavored Markdown. Use when a task needs the contents of an office document, spreadsheet, presentation, ebook, or PDF you cannot read directly.

firecrawl

phoenix-cli

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.

arize-ai

huggingface-zerogpu

AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.

huggingface-tool-builder

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

huggingface-trackio

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.

huggingface-gradio

Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.

dotnet-core-expert

在构建使用最小 API、整洁架构或云原生微服务的 .NET 8 应用程序时使用。适用于 Entity Framework Core、CQRS with MediatR、JWT 身份验证、AOT 编译等场景。

jeffallan

shopify-expert

构建与调试 Shopify 主题（.liquid 文件、theme.json、sections），开发自定义 Shopify 应用（shopify.app.toml、OAuth、webhooks），以及为 Headless 前端实现 Storefront API 集成。适用于构建或定制 Shopify 主题、创建 Hydrogen 或自定义 React 前端、开发 Shopify 应用、实现结账页 UI 扩展（Checkout UI Extensions）或 Shopify Functions、性能优化或集成第三方服务。当涉及 Liquid 模版渲染、Storefront API、应用开发、结账页定制、Shopify Plus 特性、App Bridge、Polaris 或 Shopify CLI 工作流时调用。

jeffallan