Ejecuta `dart analyze` para identificar advertencias y errores, y utiliza `dart fix --apply` para resolver automáticamente problemas de lint mecánicos. Úsalo durante el desarrollo para garantizar la calidad del código y antes de confirmar cambios.
Esta habilidad permite ejecutar el análisis estático de código Dart utilizando `dart analyze` para detectar advertencias y errores, y aplicar correcciones automáticas con `dart fix --apply` para resolver problemas de lint mecánicos. Es útil para mantener la calidad del código durante el desarrollo y antes de realizar commits. Compatible con proyectos Dart y Flutter, así como con plataformas de agente de IA como Claude Code, Cursor y Codex. La habilidad se basa en la documentación de SKILL.md para guiar al usuario en el uso de estas herramientas de forma eficiente, mejorando la consistencia y reduciendo errores en el código.
npx skills add https://github.com/dart-lang/skills/tree/main/skills/dart-run-static-analysisInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Ejecuta dart analyze para identificar advertencias y errores, y utiliza dart fix --apply para resolver automáticamente problemas de lint mecánicos. Úsalo durante el desarrollo para garantizar la calidad del código y antes de confirmar cambios.
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
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.