# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README. - Filter by type: append `?type=` to the URL. - Filter by profession: append `?profession=` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions - Filter by tag: append `?tag=` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags Resources for QA or ML / AI or Hardware engineering, Tagged `deployment`: 9 items. > - QA: Functional testing, test automation and quality assurance. > - ML / AI: Model training, evaluation and LLM application development. > - Hardware engineering: Part and assembly modeling, schematics and PCB review, simulation, and BOM and production files. - [gstack](https://hebbmind.com/skill/gstack.md): [Skill] Skill pack from YC president Garry Tan: slash commands such as /office-hours, /plan-ceo-review, /review, /qa and /ship play CEO, engineering manager, designer, QA and release engineer. Needs Git and Bun; clone the repo and run ./setup as the README describes. - [vLLM](https://hebbmind.com/cli/vllm.md): [CLI] High-throughput LLM inference and serving engine: vllm serve starts an OpenAI- and Anthropic-compatible server in one command. Supports 200+ model architectures from Hugging Face, quantization and distributed inference. Aimed mainly at NVIDIA, AMD and other GPUs. - [Machine Learning Ops](https://hebbmind.com/plugin/machine-learning-ops.md): [Plugin] MLOps plugin from the wshobson/agents marketplace: data scientist, ML engineer and MLOps engineer subagents and a /ml-pipeline command that runs the pipeline in phases from data analysis and training to deployment and monitoring, plus ML pipeline and recommender system skills. - [Docker Compose](https://hebbmind.com/cli/compose.md): [CLI] Define multi-container apps in compose.yaml and bring up services, databases, caches and the rest with one docker compose up, handy for agents setting up local dev and test dependencies. Maintained by Docker; included with Docker Desktop on macOS. - [Google Skills](https://hebbmind.com/plugin/google-skills.md): [Plugin] Google's official skill library and plugin marketplace: nearly 150 skills focused on Google Cloud (GKE, BigQuery, Cloud Run, IAM and more), plus 17 product plugins pairing skills with MCP for Cloud SQL, Spanner, AlloyDB, BigQuery, GCS and others. - [App Store Connect CLI](https://hebbmind.com/cli/app-store-connect-cli.md): [CLI] asc CLI for scripting the App Store Connect API: manage builds, TestFlight, metadata, signing and review submissions to automate iOS and macOS releases from the terminal or CI. Ships with a companion agent skill pack. Needs an App Store Connect API key. - [Google Agents CLI Skills](https://hebbmind.com/skill/google-skills.md): [Skill] Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key. - [Agent Toolkit for AWS](https://hebbmind.com/plugin/agent-toolkit-for-aws.md): [Plugin] AWS's generally available agent toolkit and plugin marketplace: plugins such as aws-core, aws-agents and aws-data-analytics bundle the AWS MCP Server with evaluated skills for IaC, serverless, containers and billing. Calling AWS APIs requires configured credentials. - [MCP Server Plugin for Jenkins](https://hebbmind.com/mcp/mcp-server-plugin.md): [MCP] Jenkins plugin that turns Jenkins itself into an MCP server: agents can list jobs, trigger and rerun builds, page through and search build logs, and view test results and SCM info. Hosted in the official jenkinsci organization; authenticates with a Jenkins API token over Basic auth.