Build, test, and deploy A2A agents with a2a-sdk and FastAPI.
npx skills add https://github.com/pjordan/claude-toolkit --skill a2a-agent
Please help me install this Agent Skill. Skill: a2a-agent Source: https://github.com/pjordan/claude-toolkit/tree/main/skills/examples/a2a-agent Command: npx skills add https://github.com/pjordan/claude-toolkit --skill a2a-agent
The a2a-agent skill provides a complete workflow to build, test, and deploy production-ready A2A agents using a2a-sdk and FastAPI.
Install and run the scaffolding script: python scripts/create_agent.py <agent-name> --type basic|advanced --path <output-path>. Then navigate to the generated directory, install dependencies, and run the agent with the provided startup command.
High-intent search queries and answers about installing and using this skill.
You build and deploy production-ready A2A agents by using scaffolding scripts to generate FastAPI project structures from basic or advanced templates, then running the provided Docker assets and startup commands to serve the agent.
To scaffold an agent-to-agent project, run the Python scaffolding script with your desired agent name, specify the template type as basic or advanced, and define the output path to generate the complete project directory.
Yes, the workflow supports defining request/response models and streaming handlers, and includes automated tests alongside Docker-based deployment and health checks to validate agent behavior.
The best way to containerize an A2A agent is using the provided Docker deployment assets included in the scaffolding output, which configure the FastAPI environment and health checks for production readiness.
Familiarity with FastAPI environments is beneficial since the templates generate FastAPI applications, but the scaffolding script handles project structure setup and provides startup commands to run the agent immediately.
Choose the advanced template when your domain-specific agent requires complex handler patterns, and use the basic template for simpler request/response models, with both supporting Docker deployment and testing.
sumik5Provide a blueprint for setting up modern Python projects with FastAPI, uv, ruff, mypy, and Docker.
stellarCoordinates Heroku/Docker deployments with health checks and smoke tests for x402-stellar networks.
ActiveInferenceInstituteBroadcast alerts and route spatial messages across SMS, email, and push channels.
mainsequence-sdkDiscover agents and manage A2A conversations via Astro's API endpoints.
