Directorio de skills

Descubre skills reutilizables para AI agents.

Busca skills reales de GitHub por tarea y revisa stars, confianza, auditoría, categoría y ruta de instalación antes de utilizarlos.

Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.

Resultados de búsqueda: labels

Directorio en inglés

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

177K
Stars
81/100
Confianza
Categoría: coding-agentsAuditoría

A set of agent skills that help improve different parts of a product, from animations and typography to layout and colors.

736
Stars
77/100
Confianza
Categoría: utilityAuditoría

Automatically generate change log from your tags, issues, labels and pull requests on GitHub.

7.5K
Stars
83/100
Confianza
Categoría: document-processingAuditoría

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

12K
Stars
84/100
Confianza
Categoría: ml-automationAuditoría

GitHub Action to extract metadata (tags, labels) from Git reference and GitHub events for Docker

1.1K
Stars
83/100
Confianza
Categoría: github-automationAuditoría

AI code reviews grounded in 12 classic engineering books — decay risk diagnostics with book citations, severity labels, and 6 analysis modes including full-sweep auto-fix

1.1K
Stars
84/100
Confianza
Categoría: developmentAuditoría

Run a 5-dimension expert design review on any HTML artifact in the project — Philosophy / Visual hierarchy / Detail / Functionality / Innovation, each scored 0–10. Outputs a single self-contained HTML report with a radar chart, evidence-backed scores, and three lists: Keep / Fix / Quick-wins. Use when the brief asks for a "design review", "design critique", "5 维度评审", "design audit", or "what's wrong with my design".

90K
Stars
80/100
Confianza
Categoría: securityAuditoría

fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

1.9K
Stars
74/100
Confianza
Categoría: ml-automationAuditoría

An exam cram coach skill for Claude agents that creates chaptered knowledge bases and quiz banks from course materials, with source-labeled answers and abstention when out of scope.

256
Stars
75/100
Confianza
Categoría: productivityAuditoría

Use when user wants to create a GitHub issue for the current repository. Must read and follow the repository's issue template format.

51K
Stars
76/100
Confianza
Categoría: coding-agentsAuditoría

Test Cherry Studio PRs by resolving and checking out a PR, statically inspecting its changes, running interactive UI tests against a safely tracked Electron instance through CDP, producing a structured report, cleaning up only the owned test instance, and restoring the original branch.

51K
Stars
77/100
Confianza
Categoría: researchAuditoría

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

34K
Stars
77/100
Confianza
Categoría: data-analysisAuditoría