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: pubmed-articles-grabber

Directorio en inglés

A curated collection of reusable agent skills for designers and builders to generate UI prompts and workflows using AI coding agents.

4.8K
Stars
86/100
Confianza
Categoría: design-creativeAuditoría

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

8.7K
Stars
86/100
Confianza
Categoría: researchAuditoría

AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.

1.8K
Stars
77/100
Confianza
Categoría: developmentAuditoría

A curated collection of 13 tested Claude Code agent skills for producing decks, research briefs, PRDs, articles, audits, and other finished work.

626
Stars
83/100
Confianza
Categoría: presentationAuditoría

Markdown editor for vue3, developed in jsx and typescript, dark theme、beautify content by prettier、render articles directly、paste or clip the picture and upload it...

2.5K
Stars
84/100
Confianza
Categoría: document-processingAuditoría

A collection of git utilities, useful extra git scripts, tutorials and other useful articles.

1.2K
Stars
79/100
Confianza
Categoría: devopsAuditoría

📰 Newspaper4k a fork of the beloved Newspaper3k. Extraction of articles, titles, and metadata from news websites.

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

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

34K
Stars
70/100
Confianza
Categoría: researchAuditoría

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

2.4K
Stars
76/100
Confianza
Categoría: devopsAuditoría

repository to research & share the machine learning articles

3.9K
Stars
69/100
Confianza
Categoría: robotics-iotAuditoría