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docx-reader

Reads Microsoft Word (.docx) files and extracts text content. Use when needing to read .docx documents. Requires python-docx package.

childbamboo

content-media

open

documents

Create and edit Word documents (.docx) in Python with python-docx library. WHEN: Creating .docx files, editing Word documents, working with tracked changes, adding comments, preserving formatting, extracting text from Word files. WHEN NOT: PDF files (use python-pdf), Excel/spreadsheets (use python-xlsx), plain text files.

LounisBou

content-media

open

documents

render-book

Render the book into HTML or PDF formats using Quarto. Use when the user wants to "render the book", "build the book", "generate the book", or create HTML/PDF output.

dparedesi

content-media

open

documents

merge-book-cover

Merge a cover image into a PDF book while preserving aspect ratio and matching width. Use when the user wants to "merge cover", "combine pdf", "fix cover size", or "add cover image".

dparedesi

content-media

open

documents

brazilian-official-docs

Create and validate Brazilian official documents (ofícios, memorandos, pareceres, notas técnicas) following Brazilian government standards (Manual da Presidência, Manual do Itamaraty, ABNT). Use when creating formal government documents, validating document compliance with Brazilian norms, or needing reference material on Brazilian official writing standards. Includes LaTeX templates, Python generators, validators, and comprehensive reference documentation on Brazilian official communication standards.

prof-ramos

content-media

open

documents

pandoc-pdf-generation

Use when generating PDFs from markdown with Pandoc - covers differences from Python-Markdown, blank line rules, fix scripts for labels/anchors/metadata, and visual testing workflow

SecurityRonin

content-media

open

technical-docs

docstring-formatter

Convert docstrings to NumPy/Sphinx style with proper Parameters, Returns, and Examples sections. This skill should be used when improving documentation quality across Python modules.

omriwen

documentation

open

productivity-tools

simple-pdf-skill

PDF processing skill for creating, editing, extracting, and merging PDFs using Python libraries.

aiguozhi123456

tools

open

media

gif-analyzer

Analyze animated GIF files by extracting and viewing frames as sequential video. Use when: - User mentions a GIF file path (e.g., "./demo.gif", "~/Downloads/animation.gif") - User wants to analyze or understand a GIF animation - User asks about motion, changes, or content in a GIF - User attaches or references a .gif file for analysis - User wants to examine a screen recording in GIF format - User invokes /gif slash command Keywords: "GIF", ".gif", "animation", "animated", "frames", "screen recording", "analyze gif", "gif analysis", "view gif", "gif content", "gif motion" Trigger patterns: - Natural language: "Analyze this GIF: ./demo.gif" - Slash command: `/gif <path>` or `/gif <path> <message>` When triggered, extract frames using the Python script, view frames in order, and interpret as continuous video sequence.

laststance

content-media

open

media

synthetic-wav-sample

Generate a tiny non-sensitive WAV file using only the Python standard library. Use for deterministic smoke tests without committing real user audio.

jfriisj

content-media

open

data-analysis

csv-data-summary

Analyzes CSV files, generates comprehensive summary statistics, identifies data patterns, and creates visualizations using Python and pandas. Automatically adapts analysis based on data type (sales, customer, financial, survey, operational).

JetSquirrel

data-ai

open

monitoring

grafana-report-to-dashboard

Converts Python report scripts (Elasticsearch queries + email output) into Grafana Jsonnet dashboards with dual-datasource support (ClickHouse + Elasticsearch ES7/ES8). Use when migrating scheduled email reports to real-time monitoring dashboards, building multi-datasource observability views, or converting report calculations to interactive panels.

haomingz

devops

open

productivity-tools

ai-data-analyst

Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create visualizations, or build predictive models with reproducible, code-based workflows.

GrupoUS

tools

open

data-engineering

polars

Expert guidance for Polars dataframe manipulation in Python. Use this skill when working with dataframes, data processing, ETL pipelines, or any task involving tabular data manipulation. Provides best practices, performance optimization patterns, and comprehensive API usage for the Polars library.

iKiok

data-ai

open

data-analysis

marimo

Assistant for creating, editing, and debugging reactive Python notebooks with marimo. Use when you need to build marimo notebooks, debug reactive execution, add interactive UI elements, or convert traditional notebooks to marimo format. Provides code patterns, utility functions, and best practices for marimo development.

nibzard

data-ai

open

data-analysis

senior-data-scientist

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

nimeshgurung

data-ai

open

data-analysis

debugpandas

Debug Pandas issues systematically. Use when encountering DataFrame errors, SettingWithCopyWarning, KeyError on column access, merge and join mismatches with unexpected NaN values, memory errors with large DataFrames, dtype conversion issues, index alignment problems, or any data manipulation errors in Python data analysis workflows.

SnakeO

data-ai

open

data-analysis

marimo

Create reactive Python notebooks for IMSA racing data analysis using marimo. Use for building interactive filtering UIs (seasons, classes, events), connecting to DuckDB databases, creating reactive visualizations, and performing data analysis with automatic cell re-execution. Includes templates, patterns, and IMSA-specific workflows.