搜索「Image Generation」的结果

io.clawhub.salmonrk/openclaw-comfyui

Connect and control ComfyUI API efficiently using template mapping and auto-asset management for image generation and editing tasks.

io.clawhub.jimliu/baoyu-post-to-wechat

Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-tex...

Seo Optimizer

v0.1.0

io.clawhub.veeramanikandanr48/seo-optimizer

This skill should be used when analyzing HTML/CSS websites for SEO optimization, fixing SEO issues, generating SEO reports, or implementing SEO best practices. Use when the user requests SEO audits, optimization, meta tag improvements, schema markup implementation, sitemap generation, or general search engine optimization tasks.

io.clawhub.xtopher86/comfyui-request

Send a workflow request to ComfyUI and return image results.

io.clawhub.cellcog/meme-generator-cellcog

AI meme generator powered by CellCog. Memes, viral content, reaction images, internet humor. Audience targeting, trend research, and multi-angle generation for humor that lands.

io.clawhub.wpank/kubernetes-devops

WHAT: Kubernetes manifest generation - Deployments, StatefulSets, CronJobs, Services, Ingresses, ConfigMaps, Secrets, and PVCs with production-grade security and health checks. WHEN: User needs to create K8s manifests, deploy containers, configure Services/Ingress, manage ConfigMaps/Secrets, set up persistent storage, or organize multi-environment configs. KEYWORDS: kubernetes, k8s, manifest, deployment, statefulset, cronjob, service, ingress, configmap, secret, pvc, pod, container, yaml, kustomize, helm, namespace, probe, security context

io.clawhub.dlazyai/dlazy-jimeng-i2v-first

Generate dynamic videos based on a single first frame image and prompts using Jimeng. 使用即梦 (Jimeng) 首帧生视频模型，基于单张首帧图片和提示词生成动态视频。

io.clawhub.omar-khaleel/qr-code

Generate and read QR codes. Use when the user wants to create a QR code from text/URL, or decode/read a QR code from an image file. Supports PNG/JPG output and can read QR codes from screenshots or image files.

io.clawhub.zhengxinjipai/quantitative-research

World-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges. Use when "bac...

io.clawhub.galacticpuffin/lead-hunter

Automated lead generation + enrichment for AI agents. Find prospects, enrich with emails/socials/company data, score & prioritize. Your agent builds pipeline while you sleep.

io.clawhub.nitishgargiitd/spreadsheets-cog

AI spreadsheet and Excel generation powered by CellCog. Financial models, budget templates, data trackers, projections, pivot tables, complex formulas — XLSX...

io.clawhub.bastos/conventional-commits

Format commit messages using the Conventional Commits specification. Use when creating commits, writing commit messages, or when the user mentions commits, git commits, or commit messages. Ensures commits follow the standard format for automated tooling, changelog generation, and semantic versioning.

io.clawhub.meituskills/meitu-skills

Comprehensive Meitu AI toolkit for image and video editing. Features include AI poster design, precise background cutout, virtual try-on, e-commerce product...

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.