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: twitch-drops

Directorio en inglés

Open-source & free — Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

21K
Stars
86/100
Confianza
Categoría: developmentAuditoría

Best and simplest tool for website change detection, web page monitoring, and website change alerts. Perfect for tracking content changes, price drops, restock alerts, and website defacement monitoring—all for free or enjoy our SaaS plan!

32K
Stars
82/100
Confianza
Categoría: web-automationAuditoría

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

18K
Stars
87/100
Confianza
Categoría: design-creativeAuditoría

Curso para aprender desarrollo frontend Web con Python puro desde cero. Elaborado durante las emisiones en directo desde Twitch de MoureDev.

4.7K
Stars
79/100
Confianza
Categoría: github-automationAuditoría

A documentation page — inline-start nav, scrollable article body, inline-end table of contents. Use when the brief mentions "docs", "documentation", "guide", "API reference", or "tutorial".

91K
Stars
75/100
Confianza
Categoría: design-creativeAuditoría

A brand product-launch email — masthead with wordmark, hero image block, headline lockup with skewed-italic accent, body copy, primary CTA, and a specifications grid. Pure HTML email layout (centered single column, table fallback). Use when the brief asks for an "email", "newsletter blast", "MJML", "product launch email", or "email template".

91K
Stars
70/100
Confianza
Categoría: researchAuditoría

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

Use when the user wants to drive cognee from the terminal with cognee-cli — remember/recall/forget/improve memory commands, managing datasets and config, or database migrations.

30K
Stars
68/100
Confianza
Categoría: data-analysisAuditoría

💬 Javascript library for the Twitch Messaging Interface. (Twitch.tv)

1.6K
Stars
74/100
Confianza
Categoría: support-automationAuditoría

A powerful all-in-one bot for Twitch streamers

458
Stars
69/100
Confianza
Categoría: support-automationAuditoría

A Claude Code skill that packages expert SceneKit knowledge for making polished 3D object animations in SwiftUI apps, with baked choreography, physics, and real shadows.

99
Stars
68/100
Confianza
Categoría: design-creativeAuditoría

CLI tool to render Jetpack Compose previews as PNGs for AI coding agents.

108
Stars
66/100
Confianza
Categoría: developmentAuditoría