Skill · em Dados, IA e pesquisa

denario

Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature…

Procedência

Antes de instalar

5 arquivos · 40,3 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/skills/denario/.

d=".claude/skills/denario"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/denario"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/installation.md" "$u/references/installation.md" \
  -o "$d/references/llm_configuration.md" "$u/references/llm_configuration.md" \
  -o "$d/references/research_pipeline.md" "$u/references/research_pipeline.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/skills/denario/.

d="$HOME/.claude/skills/denario"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/denario"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/installation.md" "$u/references/installation.md" \
  -o "$d/references/llm_configuration.md" "$u/references/llm_configuration.md" \
  -o "$d/references/research_pipeline.md" "$u/references/research_pipeline.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: instala em .agents/skills/denario/.

d=".agents/skills/denario"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/denario"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/installation.md" "$u/references/installation.md" \
  -o "$d/references/llm_configuration.md" "$u/references/llm_configuration.md" \
  -o "$d/references/research_pipeline.md" "$u/references/research_pipeline.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.agents/skills/denario/.

d="$HOME/.agents/skills/denario"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/denario"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/installation.md" "$u/references/installation.md" \
  -o "$d/references/llm_configuration.md" "$u/references/llm_configuration.md" \
  -o "$d/references/research_pipeline.md" "$u/references/research_pipeline.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Antigravity

Neste projeto: instala em .agents/skills/denario/.

d=".agents/skills/denario"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/denario"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/installation.md" "$u/references/installation.md" \
  -o "$d/references/llm_configuration.md" "$u/references/llm_configuration.md" \
  -o "$d/references/research_pipeline.md" "$u/references/research_pipeline.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.gemini/antigravity-cli/skills/denario/.

d="$HOME/.gemini/antigravity-cli/skills/denario"
u="https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/skills/scientific/denario"
curl -fsSL --create-dirs \
  -o "$d/SKILL.md" "$u/SKILL.md" \
  -o "$d/references/examples.md" "$u/references/examples.md" \
  -o "$d/references/installation.md" "$u/references/installation.md" \
  -o "$d/references/llm_configuration.md" "$u/references/llm_configuration.md" \
  -o "$d/references/research_pipeline.md" "$u/references/research_pipeline.md" \
  -o "$d/LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Peça ao Rook

Já usa o Rook Labs? Cole no chat do Rook: instale a skill https://rooklabs.sh/marketplace/cct.denario

Prévia do SKILL.md

---
name: denario
description: Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or gen…
---

# Denario

## Overview

Denario is a multiagent AI system designed to automate scientific research workflows from initial data analysis through publication-ready manuscripts. Built on AG2 and LangGraph frameworks, it orchestrates multiple specialized agents to handle hypothesis generation, methodology development, computational analysis, and …

## When to Use This Skill

Use this skill when:
- Analyzing datasets to generate novel research hypotheses
- Developing structured research methodologies
- Executing computational experiments and generating visualizations
- Conducting literature searches for research context
- Writing journal-formatted LaTeX papers from research results
- Automating the complete research pipeline from data to publication

## Installation

Install denario using uv (recommended):

```bash
uv init
uv add "denario[app]"
```

Or using pip:

```bash
uv pip install "denario[app]"
```

For Docker deployment or building from source, see `references/installation.md`.

## LLM API Configuration
…

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