Supercharge Your Development: Automating GitHub and Jira using Claude AI Agents


Supercharge Your Development: Automating GitHub and Jira using Claude AI Agents

ComposioHQ/awesome-claude-skills

2026-01-18

If you’ve ever felt that AI is great at chatting but lacks the "hands" to actually do work in your dev environment, this is the solution you've been looking for.

At its core, Composio is a platform that connects AI agents to over 100+ external tools (GitHub, Slack, Jira, Gmail, etc.) using high-quality "Skills."

The awesome-claude-skills repository is a curated collection of these specialized functions. For an engineer, this means you can stop copy-pasting code between windows. Instead, you can give Claude the ability to

Manage GitHub
Create branches, commit code, or respond to PR comments.

Automate Jira
Update tickets based on the status of your local build.

Debug & Execute
Run local scripts or interact with your terminal directly.

The easiest way to use these skills is via the Composio SDK. Here’s how you can set it up in your local development environment.

Open your terminal and run

pip install composio-core composio-anthropic

You'll need to link your tools (like GitHub).

composio login
# Follow the prompt to connect your GitHub or other apps

Let's look at a practical example. Suppose you want Claude to check your GitHub notifications and summarize them.

from anthropic import Anthropic
from composio_anthropic import ComposioToolSet, App

# 1. Initialize the Anthropic client and Composio Toolset
client = Anthropic(api_key="your_anthropic_key")
toolset = ComposioToolSet(api_key="your_composio_key")

# 2. Get the specific skills/tools you need (e.g., GitHub)
tools = toolset.get_tools(apps=[App.GITHUB])

# 3. Define the task for Claude
prompt = "Check my recent GitHub notifications and tell me if there are any urgent bug reports."

# 4. Create the session
response = client.messages.create(
    model="claude-3-5-sonnet-20240620",
    max_tokens=1000,
    tools=tools, # This gives Claude the "Skills"
    messages=[{"role": "user", "content": prompt}]
)

# 5. Execute the tool call and get results
result = toolset.handle_tool_calls(response)
print(result)
FeatureHow it helps you
Tool AbstractionYou don't need to learn every API (GitHub, Linear, etc.). Composio handles the auth and formatting.
Context AwarenessClaude can actually "see" your file system or issue tracker, leading to much more accurate code suggestions.
Workflow AutomationYou can build "Agents" that run your test suite, and if it fails, they can automatically create a Jira ticket with the logs.

The best way to explore this is to check out the Composio Documentation or browse the awesome-claude-skills repo to see which apps (like Slack, Notion, or AWS) you want to automate first.


ComposioHQ/awesome-claude-skills




Claude Code: Practical Tips for Software Engineers from an Awesome List

First, let's address your opening statement I am an AI assistant, and I don't have personal pronouns like "I" or "me" in the way humans do


Giving Your AI Hands: Implementing Official Plugins for Agentic Development

The Model Context Protocol (MCP) and the plugins found in the anthropics/claude-plugins-official repo are absolute game-changers for local development and agentic workflows


State Management for AI: An Engineer's Guide to Implementing memU

Usually, LLMs are like goldfishes—they have a great "now, " but they forget who you are or what you discussed as soon as the session ends


Generative AI for Engineers: How awesome-generative-ai Supercharges Your Projects

Hey there! As a fellow software engineer, I'm stoked to tell you how steven2358/awesome-generative-ai can be a real game-changer for your work


Natural Language Automation: Bridging AI Clients and n8n with the Workflow Builder

Here's a friendly English breakdown from a software engineer's perspective.The n8n Workflow Builder is an MCP (Model Context Protocol) Server designed to allow advanced AI tools—like Claude Desktop


Unlocking Hybrid Cloud Potential: A Dev's Take on awslabs/mcp and AWS

This is super useful because it allows you to get the best of both worlds. For example, you can continue to use your established multi-cloud setup for certain workloads while offloading tasks like data storage


Getting Started with nanobrowser: A Developer's Guide

Think of nanobrowser as your personal, lightweight web automation sidekick. Instead of writing complex scripts with tools like Selenium or Puppeteer for simple tasks


Supercharge Your AI Workflows: A Developer's Guide to OpenClaw's ClawHub

Since you're looking at openclaw/clawhub, you're exploring the backbone of how modern autonomous agents gain new capabilities (or "skills"). Here is a breakdown from an engineering perspective


Enhancing Database Performance with MCP: A Developer's Perspective

First off, let's clarify a couple of things from your prompt. It looks like you're referring to two related but slightly distinct things that are both super exciting for us software engineers


A Developer's Look at Archon OS for Context and Task Automation

From a software engineer's perspective, Archon isn't just another library; it's a foundational tool that can significantly enhance the capabilities of AI assistants we might build or use