搜索「Image Generation」的结果

com.textarttools/textarttools-mcp

Unicode text styling and ASCII art generation with 23 styles and 322+ figlet fonts

io.github.humanjesse/textarttools-mcp

Unicode text styling and ASCII art generation with 23 styles and 322+ figlet fonts

io.github.Synclub-tech/synclub-dxt

SynClub MCP Server for AI-powered comic creation with script generation and image tools

io.github.croit/mcp-croit-ceph

MCP server for Croit Ceph cluster management with dynamic OpenAPI tool generation

net.nymbo/tools

Remote MCP server: fetch, search, Python, TTS, memory, image, video.

io.github.jkakar/cookwith-mcp

AI-powered recipe generation and transformation tools by Cookwith

ai.smithery/fengyinxia-jimeng-mcp

Create images and videos from prompts, with options for image mixing, reference images, and start/…

io.github.zhongweili/nanobanana-mcp-server

An MCP server that provides image generation and editing capabilities

io.github.anthropics/skills/docx

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx or .dotx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

io.github.netdata/netdata/packaging-static-installer

Build a static, self-extracting Netdata installer (`netdata-<arch>-latest.gz.run`) from this checkout for x86_64, aarch64, armv6l, or armv7l. Use when the user asks to build, produce, package, or test a static binary, makeself installer, `.gz.run` artifact, or "static install" of Netdata; when verifying a PR by deploying it to a Linux machine without a native build toolchain; when reproducing a CI static-builder issue locally. Covers the docker-based build flow under `packaging/makeself/`, mandatory pre-flight checks (submodule init, fresh `netdata/static-builder:v1` image), the 18 ordered jobs the build runs, output artifact layout, the `artifacts/cache/` reuse model, cross-arch QEMU caveats, debug builds, common failures with their fixes, and how to copy/verify the artifact on a target host.

io.github.bentoml/BentoML/bentoml-containerize

Build a local BentoML project into a Bento, containerize it into an OCI/Docker image, smoke-test it locally, and push it to a container registry (Docker Hub, GHCR, ECR, private registry, kind/minikube local load, or ttl.sh). Use when the user asks to "containerize a Bento", "build a Docker image for my BentoML service", "package my BentoML service for deployment", "push my Bento image to a registry", or as the first step of deploying BentoML to Kubernetes or EC2. Does NOT deploy anything itself — hand off to bentoml-k8s-deploy or bentoml-ec2-deploy for that.

io.github.ossrs/srs/srs-develop

Develop, modify, debug, review, maintain, and explain the SRS and Oryx codebases and the SRS Docker image toolchain. Use for planned changes to the next-generation SRS Go proxy, SRS browser player, ossrs/dev-docker images, or Oryx Go backend, React dashboard, integrated runtime, packaging, installers, releases, and tests; bug maintenance; issue and pull-request triage; pull-request review; and Learn Code questions. The C++ SRS server is in maintenance mode, and planned Go origin and edge development is not yet supported. NOT for end-user support, usage questions, or configuration help — use srs-support for those.

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

Configures and runs Depot remote container builds using `depot build` and `depot bake`. Use when building Docker images, creating Dockerfiles with Depot, pushing images to registries, building multi-platform/multi-arch images (linux/amd64, linux/arm64), debugging container build failures, optimizing Dockerfile layer caching, using docker-bake.hcl or docker-compose builds, or migrating from `docker build` / `docker buildx build` to Depot. Also use when the user mentions depot build, depot bake, container builds, image builds, or asks about Depot's build cache, build parallelism, or ephemeral registry.

io.github.supabase/supabase/ask-the-docs

Answer questions about the Supabase docs app (apps/docs) using documented architecture, build pipeline, and review-pattern notes, and apply feature-design principles (codebase reuse, coding minimalism) when proposing or critiquing changes. Use when the user asks "how does X work in the docs app?", "where does Y live?", "is this approach OK for the docs app?", or before writing non-trivial changes under apps/docs/ — especially anything touching the MDX pipeline, markdown generation, content components, federated docs, or contributor-facing authoring patterns. Can answer architecture questions with Mermaid diagrams when helpful.

io.github.nextlevelbuilder/ui-ux-pro-max-skill/design-system

Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.

io.github.nextlevelbuilder/ui-ux-pro-max-skill/design

Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.

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

Produce a world-class single-page editorial landing site in the Atelier Zero visual language (Monocle / Apartamento / Études editorial collage) — the same aesthetic OpenDesign uses for its own marketing surface. The agent fills a typed `inputs.json` from a brand brief, optionally generates 16 collage assets via gpt-image-2, then runs a pure-function composer that emits a self-contained HTML file. Drop-in scroll-reveal motion and a Headroom-style sticky nav are wired automatically.

io.github.K-Dense-AI/scientific-agent-skills/sympy

Use when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX. Prefer NumPy or SciPy when floating-point approximations are sufficient.

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

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.

io.github.lfnovo/open-notebook/release

Orchestrate an Open Notebook release — changelog audit, risk-based A/B/C test matrix, Docker image gate (fresh + upgrade), fix loop via PRs, cut, publication with credits, retro. Use when preparing, testing, cutting or publishing a release.

io.github.nrwl/nx/setup-review-sandbox

One-time setup of the sandbox prerequisites used by the reproduce-issue skill and the reproduce-verifier agent — Docker, the isolation runtime (gVisor on Linux / Colima on macOS), healthy container networking, and the nx-review-sandbox toolchain image (built from the repo's mise.toml). Idempotent; re-run any time to verify or repair. Use when the user says "set up the review sandbox", "install the sandbox prereqs", "build the sandbox image", or a reproduce-issue preflight reports something MISSING.

io.github.thedotmack/claude-mem/version-bump

Automated semantic versioning and release workflow for Claude Code plugins. Handles version increments across package.json, marketplace.json, plugin.json manifests, build verification, git tagging, GitHub releases, and changelog generation. NPM publishing is the final human-required handoff because the maintainer raised npm security.

io.github.K-Dense-AI/scientific-agent-skills/rowan

Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.

io.github.apple/container/container

Use when running, building, or managing Linux containers on macOS, or when a task involves Docker, docker compose, Lima, Colima, or Podman commands on a Mac, Dockerfiles, OCI images, image registries, or setting up a Linux development environment on Apple silicon.