747 skills · sorted by relevance
Build, debug, and optimize Docker configurations. Use when a user asks to create a Dockerfile, fix Docker build errors, optimize image size, write docker-compose files, debug container issues, set up multi-stage builds, or troubleshoot networking between containers. Covers Dockerfile best practices and compose orchestration.
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Analyze project and generate Docker configuration: Dockerfile (multi-stage dev/prod), compose.yml, compose.override.yml (dev), compose.production.yml (hardened), and .dockerignore. Includes production security audit. Use when user says "dockerize", "add docker", "docker compose", "containerize", or "setup docker".
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Analyze project and generate Docker configuration: Dockerfile (multi-stage dev/prod), compose.yml, compose.override.yml (dev), compose.production.yml (hardened), and .dockerignore. Includes production security audit. Use when user says "dockerize", "add docker", "docker compose", "containerize", or "setup docker".
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Run installation, integration, and end-to-end tests that follow real user actions in remote environments or Docker. Choose an appropriate isolated environment, inspect failures, record execution details, and clean up resources after testing.
Get RuView running with a Docker demo using simulated WiFi signal data, source checks, or live sensing with supported hardware. Choose a starting path based on available equipment and open a working sensing dashboard.
Test agent features across local and remote execution environments using integration tests, which check components working together. Covers Docker and Wine setups, test helpers, and configuration-specific skips for the app-server and exec-server split.
Create GitHub Actions workflows to automate testing, builds, and deployments. Includes patterns for Docker image publishing, Kubernetes deployment, security scans, and testing across multiple environments, plus reusable workflows and approval steps for production releases.
Create a Kotlin Spring Boot project with database connections, API documentation, and local services managed through Docker Compose. Set up dependencies and configuration files, then run Gradle tests to check the initial project.
Create a Spring Boot Java project skeleton with Maven, database connection settings, and Docker Compose services. Adds dependencies for API documentation and architecture tests, then checks the generated project with a Maven test command.
Evaluate language models with over 100 benchmark tests covering knowledge, math, coding, safety, and image understanding. Configure runs on Docker, Slurm computing clusters, or cloud infrastructure, compare models, and export results.
Create, update, and debug Docker-based end-to-end tests for the Composio CLI. Covers running the executable, keeping test data separate, checking command output, and maintaining package manifests within the CLI test suite.
Build C++ applications for custom Zoom video sessions on Linux, including bots that run without a display. Get guidance on capturing and supplying raw audio and video, connecting Qt or GTK interfaces, and configuring Docker environments.
Evaluate language models on knowledge, math, coding, safety, and image understanding benchmarks. The skill guides reproducible runs in containers using local Docker, Slurm clusters, or cloud execution, with shared configurations for model comparison and result export.
Upgrade an existing .NET 10 project to .NET 11 by updating framework targets and packages, fixing compatibility issues, reviewing runtime behavior changes, and verifying builds, tests, and deployment configuration.
This skill should be used when the user asks to "analyze a Dockerfile", "optimize Docker layers", "validate docker-compose", "check container best practices", or "audit Docker configurations".
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Use when you need framework-agnostic Docker and container image guidance for Java projects - Dockerfile design, multi-stage Maven builds, jlink custom runtimes, micro runtime distributions such as Alpaquita, JVM container ergonomics, non-root execution, image metadata, .dockerignore, reproducible builds, vulnerability scanning, SBOM awareness, and production-safe container defaults. This should trigger for requests such as Review Java Dockerfile; Improve Docker image security; Add jlink runtime to a Java container; Add containerization to a Java project; Optimize Java container image size; Review Docker build reproducibility. Part of Plinth Toolkit
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Create general-purpose Dockerfiles for Node.js, Python, Go, Rust, and Java projects. Covers base image selection, dependency installation, user permissions, COPY patterns, ENTRYPOINT vs CMD, and .dockerignore. Use when containerizing an application for the first time, creating a consistent build/runtime environment, preparing an app for cloud deployment or Docker Compose, or when no existing Dockerfile is present in the project.
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Exploit misconfigured Docker environments, specifically focusing on privilege escalation via an exposed Docker daemon socket (`docker.sock`) or membership in the local `docker` user group to achieve root access on the host system.
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Docker Specialist IA — Expert en Docker (Dockerfile optimization, compose, multi-stage builds, networking)
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Docker (Docker Engine / Dockerfile / Compose / Buildx) の Dockerfile 命令, docker CLI, compose.yaml (Compose Specification), BuildKit, Bake (HCL), マルチステージ, マルチプラットフォーム, ビルドキャッシュ, SBOM / provenance, dockerd, daemon.json, logging driver, rootless, seccomp。
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Runs Docker Desktop and its WSL2 layer, checking RAM and disk before container work. Trigger when Docker Desktop or a container won't start, vmmem eats RAM or the Docker disk keeps growing; to set a WSL memory cap in .wslconfig; to list or install WSL distros; to bring a compose stack up or down; to prune images and build cache; to run a command in a container; to log in to a registry; or say dockerrunner (audit, check, up, down, prune, status, refresh). Local LLMs (Docker Model Runner too) are lmstudiorunner's; images comfyrunner's; VMs and sandboxes hypervrunner's; Docker's MCP catalog its MCP Toolkit's; registry tokens keywarden's.
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Choose suitable tests and checks for OpenClaw changes, then investigate failures using the relevant evidence. It guides local validation and directs environment-dependent or release testing to the appropriate procedures, keeping checks tied to the changed behavior.
Review MCP configuration without running its servers. Identify npm, Python, and Docker references that may fetch different code later, classify their version settings, and recommend pinning versions or image contents that the team has reviewed.
Create a new app that extends a running Twenty instance. Guide project naming and instance selection, then use the scaffolder to install dependencies, authenticate, initialize Git, and complete the initial sync and installation.