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: meetings

Directorio en inglés
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

🇺🇦 Your meetings at your fingertips in the macOS menu bar

5.2K
Stars
81/100
Confianza
Categoría: productivity-automationAuditoría

Local voice dictation and meeting recorder for Windows + Linux. Hold a hotkey to dictate, or record long-form meetings with system audio. Whisper transcription, bring-your-own-LLM summaries. Open source.

387
Stars
70/100
Confianza
Categoría: legal-complianceAuditoría

AgentCall lets AI Agents join meetings with voice, video & screen-share to build together. Supports Google Meet, Teams, Zoom (Beta)

141
Stars
72/100
Confianza
Categoría: agent-frameworksAuditoría

How to work in a Personal CRM project (the `entity-vault` starter pack, GBrain-compatible): a typed-entity vault of people, companies, meetings, and concepts, each a dossier with a rewritable summary plus an append-only timeline. Read when the project has these folders, OR when asked to capture notes about a person or company, log a meeting, prep for an upcoming meeting, or answer who someone is and what was last said. Carries the dossier convention and entity-extraction behaviors so that guidance does not live inside template bodies or folder descriptions. Complements the platform `open-knowledge` skill; does not replace it.

3.6K
Stars
74/100
Confianza
Categoría: design-creativeAuditoría

Scrape, standardize and share public meetings from local government websites

379
Stars
66/100
Confianza
Categoría: web-automationAuditoría

Record Zoom meetings automatically in headless docker container with Python and FFmpeg

317
Stars
67/100
Confianza
Categoría: data-analysisAuditoría