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The extension integrates with VS Code's language server protocol to deliver hover documentation, parameter hints, and diagnostic warnings for invalid syntax without requiring external API calls.","intents":["I want autocomplete suggestions for Dockerfile commands like RUN, COPY, ENV as I type","I need to see what parameters and flags are available for each Dockerfile instruction","I want inline error highlighting when I use invalid Dockerfile syntax"],"best_for":["containerized application developers writing Dockerfiles","DevOps engineers managing multi-stage builds","teams standardizing Dockerfile patterns across projects"],"limitations":["IntelliSense scope limited to standard Docker instruction set; custom build arguments require manual definition","No semantic validation of base image availability or compatibility across architectures","Completion suggestions do not account for multi-stage build context or variable interpolation across stages"],"requires":["VS Code 1.50+","Docker extension installed from marketplace","File must be named 'Dockerfile' or have docker file association configured"],"input_types":["Dockerfile text content"],"output_types":["syntax highlighting markup","completion suggestions with documentation","diagnostic messages"],"categories":["code-generation-editing","developer-tools"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"docker-extension__cap_1","uri":"capability://code.generation.editing.docker.compose.file.editing.with.yaml.validation","name":"docker compose file editing with yaml validation","description":"Enables editing of docker-compose.yml and docker-compose.yaml files with YAML syntax validation, schema-aware completion for Compose service definitions, and real-time error detection for invalid service configurations. 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The extension executes 'docker build' with the selected context directory, streams build output to an integrated terminal, and displays real-time progress including layer caching status, build step execution time, and final image size. Build arguments and tags are configurable via UI dialogs or command palette.","intents":["I want to build a Docker image from my Dockerfile without leaving VS Code","I need to see the build progress and any errors in real-time as layers are built","I want to tag the built image and specify build arguments without writing docker build commands"],"best_for":["developers iterating on Dockerfile changes during development","teams automating local image builds as part of development workflow","DevOps engineers testing Dockerfile changes before committing"],"limitations":["Build context is limited to the workspace or selected directory; cannot build from remote Git repositories or URLs","No support for buildkit advanced features like inline caching, secrets management, or SSH agent forwarding without manual docker buildx configuration","Build output streaming may be delayed on slow systems; no progress bar for individual layer downloads"],"requires":["Docker daemon running and accessible","Dockerfile present in workspace","Sufficient disk space for image layers","VS Code 1.50+"],"input_types":["Dockerfile path","build context directory","build arguments (key=value pairs)","image tags"],"output_types":["built Docker image","build output log","image metadata (size, layers, ID)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"docker-extension__cap_4","uri":"capability://tool.use.integration.docker.registry.authentication.and.image.push.pull.operations","name":"docker registry authentication and image push/pull operations","description":"Manages Docker registry credentials (Docker Hub, Azure Container Registry, private registries) and enables pushing built images to registries or pulling images from registries directly from VS Code. The extension stores credentials securely using VS Code's credential storage API, authenticates with registries using standard Docker authentication protocols, and streams push/pull progress to the integrated terminal with layer transfer status.","intents":["I want to authenticate with Docker Hub or a private registry without using docker login in the terminal","I need to push a built image to a registry with progress tracking","I want to pull an image from a registry and see the download progress for each layer"],"best_for":["developers publishing container images to registries during CI/CD workflows","teams managing private registries with multiple authentication methods","DevOps engineers testing registry connectivity and image availability"],"limitations":["Credential storage is limited to VS Code's built-in credential storage; does not support external credential managers like Docker credential helpers or Kubernetes secrets","No support for registry-specific features like image signing, vulnerability scanning, or retention policies","Push/pull operations block the VS Code UI during execution; no background task support for large images"],"requires":["Docker daemon running and accessible","Valid registry credentials (username/password or access token)","Network connectivity to target registry","VS Code 1.50+"],"input_types":["registry URL","image name and tag","registry credentials (username/password or token)"],"output_types":["authentication status","push/pull progress log","image metadata (digest, size, layers)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"docker-extension__cap_5","uri":"capability://tool.use.integration.container.log.viewing.and.streaming","name":"container log viewing and streaming","description":"Displays container logs in VS Code's integrated terminal with real-time streaming, allowing developers to view stdout/stderr output from running containers without opening separate terminal windows. The extension supports log filtering by container, timestamp-based log retrieval, and automatic log tail updates as new output is generated. Logs are fetched via the Docker daemon's logs API with configurable tail length and follow mode.","intents":["I want to see the logs from a running container without switching to a terminal","I need to view historical logs from a stopped container to debug issues","I want to stream logs in real-time as my application runs and see errors immediately"],"best_for":["developers debugging containerized applications during development","teams troubleshooting container startup failures and runtime errors","DevOps engineers monitoring application behavior in containers"],"limitations":["Log retrieval is limited to the Docker daemon's log driver output; does not support application-level logging frameworks or log aggregation systems","No log filtering, search, or regex-based highlighting; all logs are displayed as plain text","Log streaming may lag on high-volume output; no buffering or pagination for large log files"],"requires":["Docker daemon running and accessible","Container must exist (running or stopped)","VS Code 1.50+"],"input_types":["container ID or name","log tail length (number of lines)","follow mode (stream or one-time fetch)"],"output_types":["container log text","timestamp information","stdout/stderr stream"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"docker-extension__cap_6","uri":"capability://tool.use.integration.container.shell.access.and.interactive.debugging","name":"container shell access and interactive debugging","description":"Enables opening an interactive shell (bash, sh, or cmd) inside a running container directly from VS Code, allowing developers to execute commands and debug containerized applications without opening separate terminal windows. The extension uses 'docker exec' to spawn a shell session, attaches it to VS Code's integrated terminal with full TTY support, and maintains the session until explicitly closed.","intents":["I want to open a shell inside a running container to inspect files and run commands","I need to debug a containerized application by executing commands inside the container","I want to verify environment variables and application state inside a running container"],"best_for":["developers debugging containerized applications interactively","DevOps engineers troubleshooting container runtime issues","teams inspecting container filesystem and environment during development"],"limitations":["Shell access requires the container to have a shell binary (bash, sh, or cmd); minimal containers without shells cannot be accessed","No support for non-interactive commands or command piping; each command requires manual execution","TTY allocation may fail on some container configurations or when running with restricted security policies"],"requires":["Docker daemon running and accessible","Container must be running","Container must have a shell binary (bash, sh, or cmd)","VS Code 1.50+"],"input_types":["container ID or name","shell type (bash, sh, cmd)"],"output_types":["interactive shell session","command output","stdin/stdout/stderr streams"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"docker-extension__cap_7","uri":"capability://search.retrieval.image.inspection.and.metadata.viewing","name":"image inspection and metadata viewing","description":"Displays detailed metadata for Docker images including layers, environment variables, exposed ports, volumes, entry points, and build history. The extension queries image metadata via the Docker daemon's inspect API and presents it in a structured format within VS Code, allowing developers to understand image composition without running containers or using docker inspect commands.","intents":["I want to see what layers are in a Docker image and their sizes","I need to check the environment variables and exposed ports defined in an image","I want to understand the entry point and CMD for an image before running it"],"best_for":["developers understanding image composition before running containers","teams auditing image configurations for security and compliance","DevOps engineers troubleshooting image-related issues"],"limitations":["Metadata display is read-only; no ability to modify image configuration without rebuilding","Layer history is limited to Docker daemon's layer database; does not show build steps from original Dockerfile","No visualization of image dependency graphs or base image relationships"],"requires":["Docker daemon running and accessible","Image must exist locally","VS Code 1.50+"],"input_types":["image ID or name"],"output_types":["image metadata (JSON structure)","layer information","configuration details"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"docker-extension__cap_8","uri":"capability://tool.use.integration.network.and.volume.management","name":"network and volume management","description":"Provides UI-driven management of Docker networks and volumes, allowing developers to create, inspect, and remove networks and volumes directly from VS Code. The extension displays all networks and volumes in the sidebar explorer, shows which containers are connected to each network, and enables volume mounting configuration through UI dialogs without requiring docker network/volume CLI commands.","intents":["I want to see all Docker networks and volumes defined in my local Docker environment","I need to create a network for multiple containers to communicate without using CLI commands","I want to inspect which containers are connected to a network and what volumes are mounted"],"best_for":["developers managing multi-container applications with custom networks","teams standardizing network and volume configurations across projects","DevOps engineers auditing container connectivity and storage"],"limitations":["Network and volume management is limited to local Docker daemon; does not support Docker Swarm or Kubernetes","No support for advanced network features like overlay networks, network policies, or custom drivers","Volume mounting is UI-driven but does not validate mount paths or permissions before container creation"],"requires":["Docker daemon running and accessible","VS Code 1.50+"],"input_types":["network name and driver type","volume name and driver type"],"output_types":["network list with connected containers","volume list with mount points","creation/deletion status"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"docker-extension__cap_9","uri":"capability://code.generation.editing.dockerfile.and.compose.file.generation.from.templates","name":"dockerfile and compose file generation from templates","description":"Provides scaffolding and template generation for Dockerfiles and docker-compose.yml files based on project type and technology stack. The extension analyzes the current workspace to detect project type (Node.js, Python, Java, .NET, etc.) and generates starter Dockerfile and Compose templates with best practices including multi-stage builds, appropriate base images, and optimized layer caching. Templates are customizable and can be inserted into the workspace with a single command.","intents":["I want to generate a Dockerfile for my Node.js project without writing it from scratch","I need a docker-compose.yml template for a multi-service application with database and cache","I want to use best practices for Dockerfile structure like multi-stage builds and layer caching"],"best_for":["developers new to Docker containerizing existing projects","teams standardizing Dockerfile patterns across multiple projects","DevOps engineers providing Dockerfile templates to development teams"],"limitations":["Template generation is based on file detection heuristics; may not accurately detect project type for hybrid or custom projects","Generated templates are generic and may require customization for specific application requirements","No support for generating Compose files with advanced features like health checks, restart policies, or resource limits"],"requires":["VS Code 1.50+","Docker extension installed","Project files present in workspace for detection"],"input_types":["project type (auto-detected or manually selected)","technology stack selection"],"output_types":["Dockerfile template","docker-compose.yml template",".dockerignore template"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"docker-extension__headline","uri":"capability://tool.use.integration.docker.management.extension.for.visual.studio.code","name":"docker management extension for visual studio code","description":"A comprehensive extension for Visual Studio Code that provides robust tools for managing Docker containers and images, including editing Dockerfiles and Compose files, all integrated seamlessly into the development environment.","intents":["best Docker extension for VS Code","Docker management tools for developers","how to edit Dockerfiles in VS Code","Docker Compose support in Visual Studio Code","top extensions for container development"],"best_for":["developers working with Docker"],"limitations":[],"requires":["Visual Studio Code"],"input_types":["Dockerfiles","Compose files"],"output_types":["Docker images","container management"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":59,"verified":false,"data_access_risk":"high","permissions":["VS Code 1.50+","Docker extension installed from marketplace","File must be named 'Dockerfile' or have docker file association configured","Docker extension installed","File named docker-compose.yml, docker-compose.yaml, or docker-compose.override.yml","Docker daemon installed and running locally","Docker socket accessible to VS Code process (requires appropriate file permissions on Unix systems)","Docker daemon running and accessible","Dockerfile present in workspace","Sufficient disk space for image layers"],"failure_modes":["IntelliSense scope limited to standard Docker instruction set; 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