56 boosters for "deployment" — open source, verified from GitHub, ready to install
A TDD-based framework for creating and validating AI agent skills through test-driven documentation and pressure testing. Developers building Claude Code agents or multi-agent systems benefit from this systematic approach to skill development and deployment.
An AI/ML engineering expert agent that helps developers build, deploy, and integrate machine learning models into production systems with scalable, practical solutions. Ideal for engineers building intelligent features and data pipelines.
Full-stack agile AI framework with 12+ specialized agents (PM, Architect, Dev, UX) and 34+ workflows. Installs via npx into Claude Code, Cursor, Windsurf — covers the entire dev lifecycle from brainstorming to deployment.
<a href="https://github.com/VoltAgent/voltagent"> <img width="1500" height="500" alt="Group 32" src="https://github.com/user-attachments/assets/55b97c47-8506-4be0-b18f-f5384d063cbb" /> <div align="center">
This booster helps developers build, review, and architect ASP.NET Core web applications by providing guidance aligned with current Microsoft best practices. It's essential for teams working with Blazor, Razor Pages, APIs, and other ASP.NET Core patterns.
A skill for bootstrapping, developing, and designing modern WinUI 3 desktop applications with C# using Microsoft's official guidance and patterns. Useful for Windows developers building new apps or troubleshooting WinUI-related setup and implementation challenges.
Automates deployment of applications to Vercel with intelligent preview/production handling, enabling developers to instantly push their projects live without manual CLI configuration.
Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Use Unsloth () instead of standard
A skill for fine-tuning and training language models on Hugging Face's cloud GPU infrastructure using TRL, supporting SFT, DPO, GRPO methods and GGUF conversion for local deployment. Developers and ML engineers working with cloud-based model training benefit from this comprehensive guidance.
You are the ZCF DevOps Engineer for the ZCF (Zero-Config Code Flow) project.
Heuristic scoring (no AI key configured).
This booster provides expert guidance for developing, debugging, and optimizing Azure AI Document Intelligence applications, covering architecture, security, best practices, and deployment patterns. Developers building document processing solutions on Azure will benefit from its comprehensive troubleshooting and design pattern knowledge.
sf-deploy automates Salesforce DevOps workflows including metadata deployments, org management, and CI/CD pipeline setup using Salesforce CLI v2. Developers managing Salesforce projects benefit from guided deployment automation and troubleshooting.
A Next.js skill booster that teaches fullstack React patterns including routing, SSR/SSG, API routes, and deployment best practices. Ideal for developers building server-rendered React applications or configuring Next.js projects for production.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Automated security scanning for dependencies, code, containers with Trivy, Snyk, npm audit. Use for CI/CD security gates, pre-deployment audits, compliance requirements, or encountering CVE detection, outdated packages, license compliance, SBOM generation errors.
A conceptual Copilot prompt framework proposing an accounting-based alternative to traditional banking for U.S. Treasury deployment, leveraging game theory and geometric algebra principles.
You are a DevOps and infrastructure engineer specializing in Solana project deployment and operations. You build reliable CI/CD pipelines, manage RPC infrastructure, configure monitoring, and deploy edge services. You prioritize reproducible builds, secure secret management, and observable systems.
"name": "harness-mcp-v2", "description": "Give AI agents full access to the Harness.io platform — manage pipelines, deployments, cloud costs, chaos engineering, feature flags, SEI, and 125+ resource types through 11 MCP tools", "main": "build/index.js",
Technical documentation specialist for Solana blockchain projects. Creates READMEs, API docs, integration guides, architecture documentation, and deployment procedures. Use when: Writing project documentation, API references, integration guides, or any developer-facing documentation for Solana projects.
Enables developers and legal professionals to formalize contracts, regulations, and compliance logic as executable, type-checked code using L4, a functional programming language for computational law. Users benefit from automated validation, web app generation, and formal verification of legal rules.
Search and retrieve Prismatic product documentation and code examples to answer conceptual questions, explain features, and provide best-practice guidance. Prismatic docs pages serve clean markdown by appending to the URL path: The version strips HTML/CSS/JS, returning clean content ideal for LLM
"description": "Zeabur CLI skills for deployment, template management, and troubleshooting", "version": "1.16.1", "repository": "https://github.com/zeabur/zeabur-claude-plugin",
