Detalle del Skill

data-analysis-skill

Data-analysis workflow, but presented as an installable stub with a specialized multi-agent report focus.

CoincidenciaPosibleRevisado para análisis de datos
Fuentepodo/design-agent-skillsFuente externa
Instalaciones reportadas38Solo señal de popularidad

Revisar antes de usar

La revisión automática comprueba relevancia, no seguridad ni respaldo. Lee las instrucciones de la fuente antes de usar este Skill.

Vista previa guardada

SKILL.md

Este extracto es una copia guardada durante la revisión. La fuente externa contiene la versión completa y actual.

---
name: data-analysis-skill
description: |
  Multi-expert parallel analysis workflow that selects 3-5 domain expert subagents to analyze
  datasets in parallel, synthesizes findings into interactive HTML reports with charts, and
  exports to PowerPoint one-click. Requires Python packages: pandas, openpyxl, tabulate, chardet.
triggers:
  - "data analysis skill"
  - "parallel data analysis"
  - "dongzhang84"
  - "data HTML report"
  - "data to PowerPoint"
das:
  type: skill
  category: data-visualization
  upstream: "https://github.com/dongzhang84/data-analysis-skill"
  upstream_path: "SKILL.md"
  version: latest
  install: true
---

# data-analysis-skill

> Catalogue stub — full skill: [dongzhang84/data-analysis-skill](https://github.com/dongzhang84/data-analysis-skill)

## Decision tree

1. **Is the full skill already installed?**
   Check whether the skill at this location still has a `das:` block:
   - Global: `grep -q "^das:" ~/.agents/skills/data-analysis-skill/SKILL.md 2>/dev/null && echo "pointer" || echo "installed"`
   - Project: `grep -q "^das:" .agents/skills/data-analysis-skill/SKILL.md 2>/dev/null && echo "pointer" || echo "installed"`
   - No `das:` block → full skill installed, invoke it and proceed
   - `das:` block present → go to step 2

2. **Detect scope, then install:**

   To detect scope:
   ```bash
   [ -e ~/.agents/skills/data-analysis-skill ] && echo "global" || echo "project"
   ```

   **Global** (installed with `-g`):
   ```bash
   npx skills add dongzhang84/data-analysis-skill --skill data-analysis-skill -g -y
   ```

   **Project** (installed without `-g`):
   ```bash
   npx skills add dongzhang84/data-analysis-skill --skill data-analysis-skill -y
   ```
   > **Claude Code:** send either command as a chat message starting with `!` to run it without leaving the conversation.


## Invoke after install

Skill name: `data-analysis-skill`, triggers: "data analysis skill", "parallel data analysis", "dongzhang84", "data HTML report", "data to PowerPoint"

## What it does

Orchestrates a panel of 3-5 domain-specific expert subagents that analyze a dataset in parallel, each contributing a distinct analytical perspective. Results are synthesized into a single interactive HTML report with embedded charts. One-click PowerPoint export is available for presentation delivery. Requires Python environment with pandas, openpyxl, tabulate, and chardet installed.

## When NOT to use

- Single-chart generation — use d3js-skill or claud3 instead
- Real-time streaming data dashboards
- When Python dependencies cannot be installed in the environment
Leer la fuente completa en GitHub (abre una página externa)
Contexto

Trabajo relacionado