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: can

Directorio en inglés
CAN62

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition (ECCV’2022 Poster).

387
Stars
62/100
Confianza
Categoría: document-processingAuditoría

Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.

165K
Stars
81/100
Confianza
Categoría: coding-agentsAuditoría

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

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

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

17K
Stars
87/100
Confianza
Categoría: design-creativeAuditoría

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

114K
Stars
82/100
Confianza
Categoría: dataAuditoría

Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.

176K
Stars
81/100
Confianza
Categoría: coding-agentsAuditoría

Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

75K
Stars
84/100
Confianza
Categoría: rag-knowledgeAuditoría

There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.

69K
Stars
79/100
Confianza
Categoría: document-processingAuditoría

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

59K
Stars
87/100
Confianza
Categoría: media-automationAuditoría
Cua88

Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

21K
Stars
88/100
Confianza
Categoría: automationAuditoría
Cli85

Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.

17K
Stars
85/100
Confianza
Categoría: productivityAuditoría