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
Reduce cloud LLM costs by 40% with local context indexing. Use precision retrieval tools for MCP-compatible agents to minimize token usage and process data locally.
Search & download ebooks from Z-Library — a portable Agent Skill (SKILL.md + stdlib-only Python CLI) usable by any AI agent (Claude Code, Codex, Cursor, Gemini CLI…) or from the shell.
Slash commands, mental frameworks, and prompt engineering resources for Claude Code — grounded in LLM research
Codex skill for quantitative research replication workflows.
AgentClaw turns one-sentence ideas into reusable Claw capabilities. Build less boilerplate with declarative workflows, computer browser code file control, MCP, Skills, memory, knowledge bases, tracing, scheduling, and API/MCP publishing.
Claude Code skill for hard research and ideation. An alternative to Ralph-style loops with structured state and human-in-loop checkpoints.