dart-lang/dart-run-static-analysis
Execute dart analyze to identify warnings and errors, and use dart fix --apply to automatically resolve mechanical lint issues. Use during development to ensure code quality and before committing changes.
Execute `dart analyze` to identify warnings and errors, and use `dart fix --apply` to automatically resolve mechanical lint issues. Use during development to ensure code quality and before committing changes.
npx skills add https://github.com/dart-lang/skills/tree/main/skills/dart-run-static-analysisExecute dart analyze to identify warnings and errors, and use dart fix --apply to automatically resolve mechanical lint issues. Use during development to ensure code quality and before committing changes.
This repo contains 8 individual skills — each has its own dedicated page.
Write and organize unit tests for functions, methods, and classes using `package:test`. Use when creating new logic or fixing bugs to ensure code remains correct and regression-free.
Entrypoint structure, exit codes, cross-platform scripts. Use when building command line utilities, scripts, or applications.
Collect coverage using the coverage packge and create an LCOV report
Uses get_runtime_errors and lsp to fetch an active stack trace, locate the failing line, apply a fix, and verify resolution via hot_reload.
Define and generate mock objects for external dependencies using `package:mockito` and `build_runner`. Use when unit testing classes that depend on complex external services like APIs or databases.
Replace the usage of `expect` and similar functions from `package:matcher` to `package:checks` equivalents.
Workflow for fixing package version conflicts. Use this when `pub get` fails due to incompatible package versions.
Use switch expressions and pattern matching where appropriate
AI-powered DevOps incident assistant using Ollama, LangChain, LangGraph & RAG — analyzes Kubernetes, Docker and CI/CD logs locally with multi-agent workflows.
AI-agent skill for research taste, problem framing, experiments, paper storytelling, and world-model thinking
An AI-powered, multi-agent job discovery platform that parses resumes, dynamically searches global job boards, and uses advanced LLMs to semantically match candidates to roles while generating tailored cover letters and skill gap analyses.
Bootstrap your own personal AI operating system -- a 4-tool stack (Claude Code + Lark Base + Obsidian + Lark Tasks) plus a character system that remembers you across sessions. Install: npx skills add breakthrough-edu/personal-ai-os-bootstrap
Agent skills for Scry.io -- SQL + vector search over the internet. Install: npx skills add exopriors/skills
🌐 Discover and access over 133 machine-readable APIs for autonomous agents with the Nexus AGI Directory. Fetch, browse, and integrate seamlessly.