搜索「Image Generation」的结果

io.github.mukul975/Anthropic-Cybersecurity-Skills/scanning-iac-and-images-with-trivy

Scans container images, Infrastructure-as-Code (Terraform, CloudFormation, Kubernetes manifests, Dockerfile, Helm), filesystems, git repos, and SBOMs with Trivy's vuln, misconfig, secret, and license scanners. Use when building a CI/CD security gate that scans images before push, IaC before apply, or SBOMs for supply-chain weaknesses, and fails the build on policy violations.

io.github.mukul975/Anthropic-Cybersecurity-Skills/securing-container-registry-images

Secures container registry images (ECR, ACR, GCR, Docker Hub) by scanning with Trivy and Grype, signing with Cosign and Sigstore, configuring registry access controls, and building CI/CD pipelines that block unscanned or unsigned images. Use when establishing registry security controls or enforcing scan/signature checks before image promotion.

io.github.mukul975/Anthropic-Cybersecurity-Skills/performing-container-image-hardening

Harden container images by minimizing attack surface, stripping unnecessary packages, implementing multi-stage builds, configuring non-root users, and applying CIS Docker Benchmark recommendations to produce secure, production-ready images. Use when building production container images, when compliance requires CIS Docker Benchmark adherence, or when shrinking image size to reduce vulnerability exposure from unused packages.

io.github.google/skills/gke-manifest-generation

Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup probes, mounting secrets and volumes, configuring GKE Gateway API routes, targeting Spot VMs, or deploying AI model inference workloads (vLLM, TGI, Gemma). Don't use for live cluster operations, pod troubleshooting (use gke-workload-troubleshooting), or cluster infrastructure provisioning (use gke-cluster-creation).

io.github.BuilderIO/agent-native/design-generation

Generate or refine complete interactive HTML prototypes in Design. Use when creating screens, variants, Alpine/Tailwind prototypes, tweaks, or visual refinements from a prompt or selected design.

io.github.activepieces/activepieces/triage-image-cves

Scan an Activepieces Docker image with grype for OS/base-image (deb) and application (npm) CVEs of High/Critical severity. Lists the 3 most-recent published tags and lets the user pick which to scan, validates each finding is real and reachable, and proves candidate fixes in an isolated git worktree (rebuild image + re-scan + tests + container smoke-run + codebase diff) before proposing anything — fixes are NEVER auto-applied; the user decides per finding. Use when the user asks to grype-scan the image, triage container/image vulnerabilities, or check a shipped Docker image for CVEs.

io.github.nginx/kubernetes-ingress/nic-docker-images

Docker image build system, Dockerfile structure, image variants, build scripts, and Makefile targets for NIC. Use when building container images, modifying the Dockerfile, adding new image variants, debugging image builds, or working with build scripts.

io.github.bdfinst/agentic-dev-team/docker-image-audit

Audit Docker images and Dockerfiles for security vulnerabilities, bloat, and best-practice violations using hadolint, Trivy, and Grype. Produces a structured severity report with actionable fixes. Use this skill whenever the user wants to check a Docker image for security issues, scan a container for vulnerabilities, audit a Dockerfile, harden a Docker image, reduce image size, minimize attack surface, check for CVEs in a container, or says things like "is this Dockerfile secure?", "scan my image", "check my container for vulnerabilities", "how can I make this image smaller?", "audit my Docker setup", or "harden this container". Also trigger when the user has just created or modified a Dockerfile and wants validation before shipping it.

io.github.onyx-dot-app/onyx/image-generation

Generate or edit raster images (photos, illustrations, textures, sprites, mockups, logos, infographics) using the workspace's configured image-generation provider via `onyx-cli image`. Use when the task should produce a brand-new bitmap image, transform an existing image, or derive variants from references — not when the output is better as code-native SVG/vector or built directly in HTML/CSS/canvas. If no image provider is configured, tell the user to set one up at /admin/configuration/image-generation.

io.github.bdfinst/agentic-dev-team/docker-image-create

Generate production-ready Dockerfiles from project source code. Detects language/framework automatically and produces multi-stage builds with minimal, distroless, or slim base images. Use this skill whenever the user wants to containerize an application, create a Dockerfile, dockerize a project, build a Docker image, or says things like "make this run in Docker", "create a container for this app", "I need a Dockerfile", "package this for deployment", or "containerize this service". Also trigger when the user has an existing Dockerfile and wants it rewritten for production use, or when they ask about Docker best practices for their project.

io.github.EKKOLearnAI/hermes-studio/apikey-image-gen

Generate or edit images through Hermes Web UI using the selected/requested profile's configured API-key image provider from config.yaml.

io.github.nexu-io/open-design/imagegen-frontend-web

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

io.github.nexu-io/open-design/imagegen-frontend-mobile

Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.

io.github.thedaviddias/Front-End-Checklist/responsive-images

Use when reviewing article images, cards, galleries, or any component rendered at multiple sizes across breakpoints. Check both the markup and the CSS layout because an incorrect `sizes` attribute can negate a perfectly good `srcset`.

io.github.EKKOLearnAI/hermes-web-ui/apikey-image-gen

Generate or edit images through Hermes Web UI using the selected/requested profile's fun-codex provider from config.yaml.

io.github.nixopus/nixopus/dockerfile-generation

Generate production-ready multi-stage Dockerfiles per ecosystem with best practices. Use when the user needs a Dockerfile, asks about containerization, or when no Dockerfile exists in the repository.

io.github.nixopus/nixopus/dockerignore-generation

Generate ecosystem-specific .dockerignore files to reduce build context size and prevent secret leaks. Use when no .dockerignore exists, when the build context is large, or when secrets may be leaking into images.

io.github.Leonxlnx/taste-skill/imagegen-frontend-web

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

io.github.gabrielmoreira/agent-skills-mirror/css-image-hover-position-transition

Generates pure CSS code to animate an image's position on hover (e.g., moving top) without changing its dimensions.

io.github.Leonxlnx/taste-skill/imagegen-frontend-mobile

Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write code.

io.github.tmcfarlane/oh-my-cursor/cursor-image-generation

Generate and iterate images in Cursor using the built-in image model and strong prompts. Use when creating icons, illustrations, UI mockups, diagrams, marketing visuals, or any raster asset from a text description or reference image.

io.github.sickn33/antigravity-awesome-skills/apify-lead-generation

Scrape leads from multiple platforms using Apify Actors.

io.github.HKUDS/OpenSpace/pdf-checklist-generation

Generate structured PDF checklists and reports using Python libraries in sandbox

io.github.HKUDS/OpenSpace/pdf-generation-troubleshooting

Systematic fallback workflow for PDF generation through pandoc, reportlab, and fpdf2 with installation verification