搜索「Image Editing」的结果

io.github.nodejs/node/clangd-setup

Handles installation and configuration of clangd-mcp for V8. Use when clangd-mcp is missing or needs configuration for the current workspace. Do not use for general C++ editing.

io.github.asgeirtj/system_prompts_leaks/document

Create, read, edit, or manipulate Word documents (.docx) and Word templates (.dotx). Use whenever a build task's artifact kind is document with the default docx output, or the task mentions a Word doc, .docx, or .dotx, extracts or reorganizes content from one, inserts or replaces images, does find-and-replace in one, or works with tracked changes (redlines) or comments. Covers python-docx generation, raw OOXML editing of existing files, document structure and formatting, and render verification. Not for PDFs, spreadsheets, or Google Docs.

io.github.TriliumNext/Trilium/maintaining-docker-hub

Use when working on Trilium's published Docker images on Docker Hub or GHCR rather than on the Dockerfiles — "how many pulls does the image get?", "why is the Docker Hub repository so big?", "clean up old tags", "delete untagged images", "which tags do we publish?", the legacy repositories (triliumnext/notes, zadam/trilium) and their mirroring, the main-docker.yml copy-to-Docker-Hub step, mirror-legacy-docker.yml, Docker Hub categories, stars or the overview. Includes hub.mjs (stats, tag listing/deletion, the manifest inventory and a safe untagged-image purge, all dry-run by default) and the storage model that decides how a cleanup works. Do NOT use for building or running the image locally (see the Developer Guide's Docker page).

io.github.K-Dense-AI/scientific-agent-skills/optimize-for-gpu

将科学 Python 工作负载加速到 NVIDIA GPU 上，并验证结果正确且更快。适用于 CUDA/GPU 优化；CPU 受限的 NumPy、SciPy、pandas、scikit-learn、NetworkX、scikit-image、向量检索、图像处理、图、仿真或文件 I/O 负载；CuPy、cuDF、cuML、cuGraph、cuVS、cuCIM、KvikIO、Warp、Newton、Numba-CUDA、RAFT 相关问题；以及性能剖析、内存搬运、kernel 或多 GPU 瓶颈。当大规模数据并行的 Python 代码很慢且 GPU 加速是合理选项时也应使用，即使用户没有提到 CUDA。

io.github.coollabsio/coolify/mcp-development

Use this skill for Laravel MCP development. Trigger when creating or editing MCP tools, resources, prompts, servers, or UI apps in Laravel projects. Covers: artisan make:mcp-* generators, routes/ai.php, Tool/Resource/Prompt/AppResource classes, schema validation, shouldRegister(), OAuth setup, URI templates, read-only attributes, MCP debugging, MCP UI apps, the x-mcp::app Blade component, createMcpApp(), default AppResource handle() auto-infers view from class name, Response::view(), AppMeta/Csp/Permissions/appMeta() configuration, #[RendersApp] attribute, Library enum for CDN libraries (Tailwind, Alpine), and host theming via CSS variables. Use this whenever the user mentions MCP apps, MCP UI, interactive MCP resources, styling MCP apps with Tailwind or Alpine, or building visual interfaces for AI agents.

io.github.coollabsio/coolify/infer-conventions

Use this skill to analyze how a Laravel application is actually written and record its conventions as shared rules. Trigger when the user wants to detect, infer, document, or standardize project conventions or coding style, set up or grow `.ai/rules`, resolve mixed or conflicting patterns (e.g. "are we using Form Requests or inline validation?"), or onboard agents and teammates to "how we do things here". Covers: a systematic sweep of ~49 Laravel convention dimensions (validation, models, architecture, testing, frontend, database, console), open-ended house-pattern discovery, conflict reporting, and recording rules scoped to the right paths via the Boost `record-rule` MCP tool. Only run this skill when the user explicitly asks for it; never start a sweep as part of another task. Do not use for one-off code review, enforcing formatting a linter already handles, or editing `.ai/rules` files by hand.

io.github.affaan-m/ECC/react-native-patterns

React Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, navigation, or data layers.

io.github.topoteretes/cognee/cognee-docker

Use when the user wants to run cognee with Docker or docker compose — trying it out from the prebuilt image, starting the API server in a container, or bringing up the full stack (UI, MCP, Postgres, Neo4j) with compose profiles.

io.github.langchain-ai/deepagents/safety

Check secret handling, staged changes and push targets, destructive Git operations, Docker image hygiene, and new dependencies before consequential coding actions. Use for commits, pushes, container builds or publishes, dependency additions, and explicit safety reviews.

io.github.higress-group/higress/nginx-to-higress-migration

在 Kubernetes 环境中从 ingress-nginx 迁移到 Higress。适用于（1）分析现有 ingress-nginx 配置（2）读取 nginx Ingress 资源与 ConfigMap（3）通过 helm 安装 Higress 并正确设置 ingressClass（4）识别不受支持的 nginx annotation（5）为 nginx snippets/高级特性生成 WASM 插件（6）构建自定义插件并推送到镜像仓库。支持完整迁移工作流，含兼容性分析。

io.github.ArchiveBox/ArchiveBox/archivebox

在进行 ArchiveBox 应用、CLI、服务端、Docker 镜像、Admin UI、REST API、数据目录、爬取、快照以及发布与部署脚本相关工作时使用。

io.github.moeru-ai/airi/enforce-rules-for-unocss

执行 AIRI 的 UnoCSS、Vue 样式、共享 UI 组件、动画、图标与色彩模式实践。在 AIRI monorepo 中创建、编辑、重构或审查 Vue 模板、组件样式、原子类、UnoCSS 配置、动画、图标、UI 基础组件或 VueUse 暗色模式行为时使用。

io.github.getsentry/sentry/react-testing

使用 Jest 与 React Testing Library 为 Sentry 前端编写和审查 React/TypeScript 测试。在 static/ 中新增或编辑测试（*.spec.tsx）、编写组件/hook 测试、用 MockApiClient 模拟 API 响应、测试路由或网络请求，或被要求“write a frontend test”“add a React test”“test this component”“fix a flaky RTL test”时使用。

io.github.affaan-m/ECC/osint-investigation

Sparse-clue OSINT investigation methodology for extracting overlooked leads, connecting fragmented evidence, and testing explanations across sources. Use for multi-step CTF challenges, image/video geolocation, event reconstruction, public-account and entity verification, artifact interpretation, infrastructure research, or stalled investigations.

io.github.affaan-m/ECC/fal-ai-media

通过 fal.ai MCP 统一生成媒体——图像、视频和音频。覆盖文生图（Nano Banana）、文/图生视频（Seedance、Kling、Veo 3）、文生语音（CSM-1B）以及视频生音频（ThinkSound）。当用户想用 AI 生成图像、视频或音频时使用。

io.github.mattpocock/skills/domain-modeling

构建并打磨项目的领域模型。在讨论代码库术语、撰写或编辑 CONTEXT.md、记录或修改 ADR 时使用。

io.github.CopilotKit/CopilotKit/reskin

为可换肤示例应用编写全新皮肤（skin）。skin 是 src/skins/<id>/ 下自包含的领域插件，实现冻结的 Skin 契约（src/shell/skin-contract.ts），可整体替换应用体验——品牌、主题、布局、页面、工具、数据与 agent——作为可交互的销售演示。当用户说"add a skin""create a skin""new skin""reskin the app""make a <domain> skin"或想把应用重新包装成新产品的演示外观时使用。不要用于修改 shell 本身（src/shell/**）、共享设计令牌（src/app/globals.css），除非被明确要求也不要改随包发布的 skin。

io.github.affaan-m/ECC/fal-ai-media

通过 fal.ai MCP 统一生成媒体——图像、视频和音频。覆盖文生图（Nano Banana）、文/图生视频（Seedance、Kling、Veo 3）、文生语音（CSM-1B）以及视频生音频（ThinkSound）。当用户想用 AI 生成图像、视频或音频时使用。

io.github.bentoml/BentoML/bentoml-containerize

将本地 BentoML 项目构建为 Bento，容器化为 OCI/Docker 镜像，本地冒烟测试，并推送到容器镜像仓库（Docker Hub、GHCR、ECR、私有仓库、kind/minikube 本地加载或 ttl.sh）。当用户要求“containerize a Bento”“build a Docker image for my BentoML service”“package my BentoML service for deployment”“push my Bento image to a registry”，或作为把 BentoML 部署到 Kubernetes/EC2 的第一步时使用。本技能不执行任何部署——需移交 bentoml-k8s-deploy 或 bentoml-ec2-deploy 完成部署。

io.github.topoteretes/cognee/cognee-docker

当用户希望用 Docker 或 docker compose 运行 cognee 时使用——包括用预构建镜像快速体验、在容器中启动 API 服务，或用 compose profile 拉起完整技术栈（UI、MCP、Postgres、Neo4j）。

io.github.PostHog/posthog/depot-container-builds

使用 `depot build` 与 `depot bake` 配置并运行 Depot 远程容器构建。当构建 Docker 镜像、为 Depot 编写 Dockerfile、推送镜像到仓库、构建多平台/多架构镜像（linux/amd64、linux/arm64）、排查容器构建失败、优化 Dockerfile 分层缓存、使用 docker-bake.hcl 或 docker-compose 构建，或从 `docker build` / `docker buildx build` 迁移到 Depot 时使用。当用户提到 depot build、depot bake、容器构建、镜像构建，或询问 Depot 的构建缓存、构建并行度、临时仓库时也使用。

io.github.getsentry/sentry/backend-conventions

Sentry 后端在日志、tracing/span、span/tag 属性命名、metrics tag 与 options 系统方面的约定。在 src/ 中新增或编辑以下 Python 代码时使用：打日志（logger.info/exception）、记录指标（带 tag 的 metrics.incr/timing）、为 span/transaction 埋点、调用 sentry_sdk.set_tag/set_attribute 或 set_span_tag/set_span_data、用 options.get() 读取已注册 option。触发语：“add logging”“log an error”“add a metric”“add a span”“instrument tracing”“set an attribute”“add a tag”“read an option”“LOG005”“LOG011”，或关于 metrics tag 基数的问题。

io.github.supabase/supabase/safe-sql-execution

只要代码会构建、返回、拉取或执行针对用户真实 Postgres 数据库的 SQL，就使用本 skill——即使需求读起来像普通功能或 bug 修复，完全没提“security”“injection”或“SafeSqlFragment”。覆盖：编写或修改任何构造/返回数据库对象（表、视图、函数、DB 触发器、索引、RLS 策略）SQL 的 pg-meta 函数、查询构造器或接口；把 schema/表/列/搜索词/路由参数插入 SQL 文本；存储、读取或重跑从数据库往返的 SQL（策略定义、函数/视图定义、片段保存内容）；以及任何把 SQL 发到项目库的 Run/Apply/Execute 动作（SQL 编辑器执行选中、策略编辑器应用、片段执行器）。在动手写这类代码前就要加载，不要只在评审成品 diff 时才用。仅在改动完全不涉及 SQL 文本或执行时跳过——样式、无关的数据 hook、非 SQL 表单校验或 UI 布局工作。

io.github.nexu-io/open-design/open-design-landing

以 Atelier Zero 视觉语言（Monocle / Apartamento / Études 编辑式拼贴）产出世界级的单页编辑型落地站——即 OpenDesign 自家营销页面所用的同一美学。代理从品牌简报填充类型化 `inputs.json`，可选经 gpt-image-2 生成 16 张拼贴素材，再由纯函数 compose 器输出自包含 HTML 文件。滚动显影动效与 Headroom 式吸顶导航自动装配。