dash_skills — Agent Tool by kevmoo

by kevmoo · Agent Tool · ★ 138

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About dash_skills

Personal skills created by kevmoo for Dart and Flutter. For official skills, see: https://github.com/flutter/skills https://github.com/dart-lang/skills These skills follow the Agent Skills standard, enabling agents to perform complex specialized tasks with high reliability. Dart Best Practices — General best practices for Dart development. Covers code style, effective Dart, and language features. Dart Doc Validation — Best practices for validating Dart documentation comments. Covers using to catch unresolved references and macros. Dart Long Lines — Guidelines for handling long lines in Dart code to adhere to the 80-column rule. The lint. Dart Matcher Best Practices — Best practices for using and . Focuses on readable assertions, proper matcher selection, and avoiding common pitfalls. [Dart Modern Features](skills/d

agent-skills

Quick Facts

Stars138
Forks16
LanguageDart
CategoryAgent Tool
LicenseApache-2.0
Quality Score64.4383826267631/100
Open Issues3
Last Updated2026-06-29
Created2026-01-20
Est. Tokens~16k

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Frequently Asked Questions

What is dash_skills?

dash_skills is Agent Skills for Dart and Flutter ecosytem. It is categorized as a Agent Tool with 138 GitHub stars.

What programming language is dash_skills written in?

dash_skills is primarily written in Dart. It covers topics such as agent-skills.

How do I install or use dash_skills?

You can find installation instructions and usage details in the dash_skills GitHub repository at github.com/kevmoo/dash_skills. The project has 138 stars and 16 forks, indicating an active community.

What license does dash_skills use?

dash_skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to dash_skills?

The top alternatives to dash_skills on Agent Skills Hub include AgentChat, awesome-agent-skills, copilot-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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