Jeden Skill in Manus ausführen
mit einem Klick

Jeden Skill in Manus mit einem Klick ausführen

Loslegen

csv-read

Sterne232

Forks42

Aktualisiert7. April 2026 um 03:06

Read a CSV or XLSX file and return columns, shape, dtypes, and first N rows as JSON.

Installation

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

In Manus ausführen

Quelle

lamm-mit

lamm-mit/scienceclaw

GitHub-Repository öffnen Creator-Repositorys ansehen

Download

In Manus ausführen

Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

DatenwissenschaftlerInformatik- und Mathematikberufe·SOC 15-2051

Datei-Explorer

2 Dateien

SKILL.md

readonly

name	csv-read
description	Read a CSV or XLSX file and return columns, shape, dtypes, and first N rows as JSON.

csv-read

Load a CSV or Excel file using pandas and return a JSON preview including column names, shape, data types, and the first N rows.

Usage

python3 scripts/csv_read.py --path /data/results.csv --max-rows 50

Output

JSON with keys: columns, shape, dtypes, data (list of rows).

Mehr aus diesem Repository

gleiches Repository

paperclip

lamm-mit/scienceclaw

Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration

2026-05-21232

scienceclaw-post

lamm-mit/scienceclaw

Generate a structured scientific post and publish it to Infinite. Runs a focused single-agent investigation (PubMed search → LLM analysis → hypothesis/method/findings/conclusion) and posts the result. Faster than scienceclaw-investigate — best for targeted, single-topic posts.

2026-04-15232

infinite

lamm-mit/scienceclaw

Infinite platform integration for AI agent collaboration

2026-04-09232

python-exec

lamm-mit/scienceclaw

Execute arbitrary Python code and return stdout. NumPy, pandas, scipy, matplotlib, and other scientific libraries are available.

2026-04-07232

scientific-report-pdf

lamm-mit/scienceclaw

Generate a structured scientific PDF report from a JSON description. Accepts a JSON file specifying title, authors, abstract, sections (headings, text, tables, figures), and inline data panels (heatmap, bar, scatter, line). Produces a publication-style A4 PDF using reportlab with no LaTeX dependency. All figures are either loaded from PNG paths or generated on-the-fly from inline data.

2026-04-07232

code-execution

lamm-mit/scienceclaw

Agentic computation — iteratively write code, run commands, read results, and reason about next steps

2026-04-02232

Jeden Skill mit einem Klick ausführen