Awesome Claude Code — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Awesome Claude Code. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 27, 2026 • Sentiment updated: Jun 23, 2026

GitHub Statistics

Community Sentiment

Community Buzz: I have to say the new model is quite good at the basics, I've been handing over more and more tasks from Linear straight to it instead of the copy-paste into Claude dance lately.

Pros & Cons

What People Love

Improved performance, Ease of use, Dev.to users praise its efficiency

Common Complaints

Limited support, Interacting with GitHub issues

Biggest Positive: Improved Performance

Biggest Negative: Limited Support

Why Awesome Claude Code Stands Out

This repository stands out from alternatives by providing a selectively curated list of skills, agents, plugins, hooks, and other tools for enhancing the Claude Code workflow. Its technical approach focuses on model-controlled configurations and specialized tasks, solving the problem of fragmented and disorganized Claude Code resources. The inclusion of features like AgentSys, Book Factory, and Ruflo demonstrates its unique value proposition. By leveraging this repository, users can streamline their Claude Code workflow and improve productivity.

Built With

Build a custom Claude Code agent for automating workflow tasks — This repository provides a curated list of awesome skills, hooks, and plugins to enhance your Claude Code workflow, Build a comprehensive pipeline for nonfiction book creation using specialized Claude skills — The Book Factory skill in this repository replicates traditional publishing infrastructure, Build a DevOps engineering pipeline with high-quality IaC code for various platforms — The cc-devops-skills set in this repository works with validations, generators, shell scripts, and CLI tools, Build a research agent that reads and analyzes large datasets — The AgentSys workflow automation system in this repository automates task-to-production workflows and includes useful plugins and agents, Build a custom orchestrator for deploying and coordinating multi-agent swarms — The Ruflo platform in this repository provides self-learning, autonomous multi-agent swarms with vector-based multi-layered memory and systematic planning

Getting Started

  1. Install the necessary dependencies by running `pip install -r requirements.txt`
  2. Clone the repository using `git clone https://github.com/hesreallyhim/awesome-claude-code.git`
  3. Configure your Claude Code environment by setting up the necessary API keys and credentials
  4. Run `agnix` to validate your Claude Code agent configurations and ensure they are correct
  5. Try using the `AgentSys` workflow automation system to automate your task-to-production workflows and verify that it works as expected

About

A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic

Category & Tags

Category: multi-agent

Tags: agent-skills, agentic-code, agentic-coding, ai-workflow-optimization, ai-workflows, anthropic, anthropic-claude, awesome, awesome-claude-code, awesome-list, awesome-lists, awesome-resources, claude, claude-code, coding-agent, coding-agents, coding-assistant, coding-assistants, llm

Market Context

Competitive AI market with multiple providers