Communitygithub.com

Automatiza ciclos de investigación en ML con habilidades ARIS

Usa ARIS para ejecutar habilidades de agente basadas en Markdown para revisión de literatura, descubrimiento de ideas, crítica entre modelos, planificación de experimentos y soporte para redacción de artículos.

¿Qué es Automatiza ciclos de investigación en ML con habilidades ARIS?

Esta habilidad permite a los agentes de IA, como Claude Code, Codex y OpenClaw, automatizar flujos de trabajo completos de investigación en machine learning utilizando el sistema ARIS (Auto-claude-code Research In Sleep). ARIS se basa en archivos Markdown puros, sin dependencias pesadas ni configuraciones complejas, permitiendo que los agentes realicen tareas como revisión de literatura, descubrimiento de ideas, crítica entre modelos, planificación de experimentos y redacción de artículos de forma autónoma. Es compatible con múltiples proveedores de modelos y entornos, incluyendo GPUs serverless mediante Modal con un nivel gratuito de $30/mes. La habilidad está diseñada para que Claude Code investigue mientras el usuario duerme, despertando con análisis de artículos, debilidades identificadas, experimentos ejecutados y narrativas reescritas. Es una solución radicalmente ligera, sin framework, base de datos, Docker ni daemon, ideal para investigadores que buscan automatizar sus ciclos de investigación de ML sin complejidad operativa.

Compatible con✓Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/automate-ml-research-loops-with-aris-skills
Ver original→Ver todas las habilidades

Preguntar en tu IA favorita

Abre un nuevo chat con esta habilidad de agente ya precargada.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

Documentación

¿Qué hace Automatiza ciclos de investigación en ML con habilidades ARIS?

Usa ARIS para ejecutar habilidades de agente basadas en Markdown para revisión de literatura, descubrimiento de ideas, crítica entre modelos, planificación de experimentos y soporte para redacción de artículos.

Prerrequisitos

Habilidades ARIS o CLI ARIS-Code, agente compatible con Claude Code/Codex/OpenClaw, proveedores de modelos configurados

Instalación

Usa la ruta de instalación upstream o de configuración que coincida con tu entorno:

Requisitos y advertencias del upstream:

  • 🪶 Radicalmente ligero — cero dependencias, cero bloqueo. Todo el sistema son archivos Markdown simples. Sin framework que aprender, sin base de datos que mantener, sin Docker que configurar, sin daemon que cuidar. Cada habilidad es un...
  • 2026-04-03 — ☁️ GPU serverless Modal — ¿sin GPU? gpu: modal en CLAUDE.md, un comando (modal run launcher.py), sin SSH, sin Docker, auto-escalado a cero. Nivel gratuito de $30/mes —...

Notas de uso básico o inicio rápido:

  • v0.4.10 (2026-05-17) — Fiabilidad Stream + MCP + precios multi-proveedor. Reinicio completo de flujo en Anthropic MessageStream + bucle SSE de OpenAI en fallo de decodificación de fragmento / EOF prematuro (ARIS_STREAM_RETRY, por defecto 2,...

  • 🌙 Deja que Claude Code investigue mientras duermes. Despierta y encuentra tu artículo evaluado, debilidades identificadas, experimentos ejecutados y narrativa reescrita — de forma autónoma.

  • Habilidades personalizadas de Claude Code para flujos de trabajo autónomos de investigación en ML. Estas habilidades orquestan colaboración entre modelos — Claude Code dirige la investigación mientras un exter...

  • Fuente: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep

  • Extraído de la documentación upstream: https://raw.githubusercontent.com/wanshuiyin/Auto-claude-code-research-in-sleep/HEAD/README.md

Documentación

Fuente

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

Skills relacionados

steipete/video-frames

Extract frames or short clips from videos using ffmpeg.

community

steipete/summarize

Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.

community

openclaw/openclaw

Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.

community

obra/superpowers

Obra superpowers agent skills.

community

affaan-m/ECC

See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...

community

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

community