spencrmartin cba7d3fefe feat: implement custom slash commands with modal-based creation
- Add CustomCommandsSettings component with row-based design matching Mode section
- Integrate AddCustomCommandModal using proper Dialog components for consistent styling
- Remove category filtering and inline editing for cleaner UX
- Update modal to use proper Dialog background instead of dark overlay
- Remove category field from modal form for simplified command creation
- Apply subtle text colors to form helper text for better visual hierarchy
- Remove preview section from modal to reduce height and improve usability
- Add proper header styling with CardTitle and CardDescription
- Update command icons to display without background circles
- Implement proper padding and spacing throughout the interface
- Connect modal functionality to Plus button and edit actions
- Preserve existing command categories while preventing new category assignment
2025-09-26 10:45:45 -04:00
2025-08-01 22:15:05 -04:00
2025-09-24 10:23:52 -07:00
2025-06-04 15:12:44 -07:00
2025-09-14 01:11:05 -05:00

goose

a local, extensible, open source AI agent that automates engineering tasks

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goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously.

Whether you're prototyping an idea, refining existing code, or managing intricate engineering pipelines, goose adapts to your workflow and executes tasks with precision.

Designed for maximum flexibility, goose works with any LLM and supports multi-model configuration to optimize performance and cost, seamlessly integrates with MCP servers, and is available as both a desktop app as well as CLI - making it the ultimate AI assistant for developers who want to move faster and focus on innovation.

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Why did the developer choose goose as their AI agent?

Because it always helps them "migrate" their code to production! 🚀

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Readme Apache-2.0 1.5 GiB
Languages
Rust 63.6%
TypeScript 29.6%
JavaScript 1.7%
Shell 1.6%
Python 1.5%
Other 1.8%