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Brazilian Auctioneers Data

junta-leiloeiros

sickn33/antigravity-awesome-skills

Aggregates official auctioneer information from all 27 Brazilian Commercial Boards into a SQLite store, exposes a FastAPI REST interface, and enables CSV/JSON exports plus customizable scraping per state.

Structured Knowledge Extraction From AI Models

bdistill-knowledge-extraction

sickn33/antigravity-awesome-skills

bdistill transforms AI interactions into a structured, queryable knowledge base. It extracts, structures, and quality-scores domain knowledge from both closed-source AI models (in-session) and local open-source models (via Ollama). Users can build comprehensive reference datasets, Q&A pairs, or generate structured training data for traditional machine learning, ensuring validated and exportable domain expertise.

Data Analysis Assistant

bytedance/deer-flow

Analyzes Excel and CSV uploads with DuckDB, inspecting schemas, running SQL, summarizing statistics, and exporting results so users can explore structured data efficiently.

Arize Experiment Management and Analysis

arize-experiment

github/awesome-copilot

This skill provides comprehensive commands to manage the entire AI model evaluation lifecycle using Arize. Users can list, retrieve metadata, and export results from experiments. It is ideal for comparing multiple model runs, benchmarking performance against a dataset, and analyzing model accuracy using structured evaluation workflows (CRUD operations).

Arize Dataset Management and Query

github/awesome-copilot

This skill provides comprehensive commands for creating, managing, versioning, and querying structured datasets within the Arize platform. It covers dataset CRUD operations, appending examples, and exporting data in various formats (JSON, CSV, Parquet) using the `ax` CLI. Ideal for preparing test data, generating evaluation examples, or retrieving golden datasets for LLM development and model testing.

Credit Risk Data Cleansing

datanalysis-credit-risk

github/awesome-copilot

Structured pipeline for credit risk pre-loan modeling that loads and formats raw data, filters abnormal periods, trims high-missing/low-IV/high-PSI/high-correlation features, denoises via Null Importance, and exports an Excel cleaning report for review.

Manage Research Projects and Papers

K-Dense-AI/scientific-agent-skills

The Paperzilla skill provides direct command-line access to interact with Paperzilla data. Users can fetch the latest research recommendations, summarize canonical papers in markdown format, view project feeds, leave feedback, and export data in various formats (JSON, Atom). It is essential for researchers needing structured insights into academic projects and literature.

FlowIO FCS File Reader

K-Dense-AI/scientific-agent-skills

Read, inspect, and write Flow Cytometry Standard (FCS) 2.0/3.0/3.1 files with FlowIO 1.4.0 in Python. Extract event data as NumPy arrays, inspect HEADER/TEXT/channel metadata, handle multi-dataset files, and export FCS 3.1 without compensation or gating.

Matplotlib Data Visualization Library

K-Dense-AI/scientific-agent-skills

Matplotlib is a foundational Python library for creating static, animated, and interactive plots with full customization. It supports various plot types like line, scatter, bar, and heatmaps, suitable for scientific and statistical visualizations. Users can customize appearance, create multi-panel figures, and export to PNG, PDF, or SVG. Ideal for publication-quality graphics and integrating with Jupyter notebooks.

OMERO Microscopy Data Integration

omero-integration

K-Dense-AI/scientific-agent-skills

Securely inspect and automate microscopy data workflows against OMERO.server using omero-py, BlitzGateway, CLI, tables, annotations, ROIs, rendering, and documented APIs. Support scoped inventory, metadata export, and reviewed write operations.

Scientific Visualization

scientific-visualization

K-Dense-AI/scientific-agent-skills

Create truthful, accessible, publication-ready scientific figures using Matplotlib, Seaborn, or Plotly. Ensures data integrity, proper encoding, accessibility compliance, and journal export planning for research publications. Includes guidelines for uncertainty displays, color/contrast review, and metadata validation.

Annotation Data Management Tool

annotation-data

SharpAI/DeepCamera

A comprehensive tool for managing annotation datasets, supporting full CRUD operations, label management, and advanced export functionality. It specifically handles COCO format export and facilitates uploading datasets to platforms like Kaggle, streamlining the data pipeline for AI model development.

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