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Found 466 Skills
Configure a rede (networking) do Docker para containers, incluindo bridge, overlay e service discovery
Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.
SSH into host `h100_sglang`, enter Docker container `sglang_bbuf`, work in `/data/bbuf/repos/sglang`, and use the ready H100 remote environment for SGLang **diffusion** development and validation. Use when a task needs diffusion model smoke tests, Triton/CUDA kernel validation, torch.compile diffusion checks, or a safe remote copy for diffusion-specific SGLang changes.
Local pentest sandbox for a full black-box engagement. Triggers on "kage", "pentest", "security audit on", "audit the security of". Runs recon, deep testing, exploit verification, and judging inside a per-engagement Kali Docker container. Each host working directory gets its own isolated sandbox. Produces `./results/<target>/audit-report.md`.
Verifies a Taubyte Go function locally via the `taubyte/go-wasi` Docker recipe (preferred over `tau build`, with tmpfs+bind-mount-ro to avoid root-owned artifacts in the source tree), and verifies a function actually serves on Dream by curling the gateway with the right `Host:` header (plus `/etc/hosts` mapping for `*.localtau`). Use when locally compiling a Go function to WASM, when smoke-testing a function before pushing, or when probing a Dream-hosted HTTP function from the laptop.
Builds and deploys Docker containers on Render—Dockerfiles, multi-stage builds, Blueprint Docker fields, private registries, layer caching, and platform constraints. Use when the user mentions Docker, Dockerfile, container images, multi-stage builds, container registry, GHCR, ECR, BuildKit, dockerContext, runtime docker or image, or optimizing Docker builds on Render.
Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: user wants to optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance, layer caching, secret management, and production-ready container patterns.
Build, optimize, and troubleshoot Docker containers and images. Create efficient Dockerfiles, manage container lifecycle, configure networking and volumes, and debug container issues. Use when working with Docker, containerization, or container troubleshooting.
Compile TensorRT-LLM on a compute node inside a Docker container. Use this when already on a compute node with GPUs visible.
Build Docker images for Python services following team conventions. Use this skill when writing Dockerfiles, authoring CI image build pipelines, or adding a new service — covers mitodl image naming, git short-ref tags, relocatable uv venvs, and shared library handling.
Auto-activate for pytest_databases, Docker DB fixtures, PostgreSQL/pgvector/AlloyDB Omni/MySQL/Oracle/MSSQL/CockroachDB/Yugabyte/MongoDB/GizmoSQL/Redis/Spanner/BigQuery/Azurite/MinIO tests. Not for mocked DBs.
Companion CLIs for Runpod workflows — HuggingFace, GitHub, Docker, and AWS.