explaingit

wshobson/agents

📈 Trending35,600PythonAudience · developerComplexity · 3/5ActiveLicenseSetup · moderate

TLDR

A marketplace of 80 specialized plugins that extend Claude Code with domain-specific agents and skills for security, Kubernetes, ML, APIs, testing, and more.

Mindmap

mindmap
  root((repo))
    What it does
      Plugin marketplace
      Domain specialists
      Load on demand
    Key features
      80+ plugins
      Multi-agent workflows
      Slash commands
    Use cases
      Microservice scaffolding
      Kubernetes hardening
      Incident response
      Code reviews
    Tech stack
      Python
      Claude Code
      Agent framework
    Audience
      Software engineers
      DevOps teams
      ML engineers

Things people build with this

USE CASE 1

Scaffold a new microservice with a specialized Python agent handling architecture, testing, and database optimization.

USE CASE 2

Harden a Kubernetes cluster by installing the Kubernetes plugin and running security and deployment specialists.

USE CASE 3

Run an automated incident response workflow with multiple agents reviewing code, auditing security, and coordinating fixes in parallel.

USE CASE 4

Extend Claude Code with domain-specific expertise (ML pipelines, API design, test automation) without bloating the general-purpose tool.

Tech stack

PythonClaude CodeAgent framework

Getting it running

Difficulty · moderate Time to first run · 30min

Requires Claude Code environment setup and API credentials to run specialized agents.

Use freely for any purpose including commercial, as long as you keep the copyright notice.

In plain English

This repository is a large collection of plugins, agents, and skills designed to extend Claude Code, Anthropic's AI-powered coding assistant. The problem it addresses is that Claude Code on its own is a general-purpose tool, but real software development involves many specialized domains: security scanning, Kubernetes deployments, machine learning pipelines, API design, test automation, and more. Keeping all that knowledge loaded at once would be wasteful and slow. This project provides a structured marketplace of 80 focused plugins, each covering one specific domain, so you load only what you actually need for a given project. The architecture works through a plugin system built into Claude Code. You first register the marketplace with a single command, then browse available plugins and install the ones relevant to your work. Each plugin packages a set of AI agents (specialists with domain-specific instructions), agent skills (modular knowledge packages that load only when invoked), and slash commands (shortcuts for common tasks). For example, installing the Python plugin brings in a Python expert agent, a Django expert, and a FastAPI expert, plus sixteen skills for things like writing tests, generating type hints, or optimizing database queries. A multi-agent workflow plugin can coordinate several of these specialists in sequence, such as running an architect review, a code review, and a security audit in parallel on a pull request. You would use this project if you want Claude Code to act as a deep specialist rather than a generalist: have it take ownership of scaffolding a new microservice, harden a Kubernetes cluster, or lead a full incident response workflow while keeping Claude's context window efficient. It is a Python-based project targeting Claude Code users who want production-grade automation across complex software engineering tasks.

Copy-paste prompts

Prompt 1
I'm building a new Django microservice. Install the Python plugin and have the Django expert scaffold the project structure with tests and type hints.
Prompt 2
Help me harden our Kubernetes cluster. Use the Kubernetes plugin to run a security audit and deployment review on our manifests.
Prompt 3
Set up a multi-agent code review workflow that runs an architect review, security audit, and code review in parallel on this pull request.
Prompt 4
I need to optimize database queries in my FastAPI app. Install the Python plugin and use the FastAPI expert with the database optimization skill.
Prompt 5
Create an incident response workflow that coordinates multiple specialists to triage, fix, and verify a production issue.
Open on GitHub → Explain another repo

Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.