Ashwin Bhat 5fedf72231 refactor: Update agent-sdk-dev plugin structure and configuration
- Move plugin.json to .claude-plugin directory to match pr-review-toolkit pattern
- Add author information: Ashwin Bhat (ashwin@anthropic.com)
- Update model field from sonnet-4.5 to sonnet in all agent/command definitions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-09 09:47:25 -07:00
2025-02-22 09:29:29 -08:00
2025-07-02 11:00:03 -07:00
2025-09-24 18:01:05 -07:00
2025-03-10 14:01:20 -07:00
2025-10-08 21:38:36 +00:00
2025-09-29 09:50:14 -07:00
2025-09-03 19:04:05 -07:00
2025-03-10 14:01:20 -07:00

Claude Code

npm

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows -- all through natural language commands. Use it in your terminal, IDE, or tag @claude on Github.

Learn more in the official documentation.

Get started

  1. Install Claude Code:
npm install -g @anthropic-ai/claude-code
  1. Navigate to your project directory and run claude.

Reporting Bugs

We welcome your feedback. Use the /bug command to report issues directly within Claude Code, or file a GitHub issue.

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When you use Claude Code, we collect feedback, which includes usage data (such as code acceptance or rejections), associated conversation data, and user feedback submitted via the /bug command.

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See our data usage policies.

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We have implemented several safeguards to protect your data, including limited retention periods for sensitive information, restricted access to user session data, and clear policies against using feedback for model training.

For full details, please review our Commercial Terms of Service and Privacy Policy.

Description
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
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Python 28.5%
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