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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.

Figma Automation Toolkit

figma-automation

sickn33/antigravity-awesome-skills

Automates Figma workflows via Composio's Rube MCP client, covering file inspection, exports, design token extraction, comments, and project browsing while enforcing tool discovery first.

Technical Change Tracker

alirezarezvani/claude-skills

Tracks every code change via structured JSON records, enforces a lifecycle state machine, and maintains session handoff context with scripts for init/create/update/status/resume/close/export workflows.

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, and 3.1 files with FlowIO. Extract HEADER, TEXT, ANALYSIS, and channel metadata, retrieve event data as NumPy arrays, handle multi-dataset legacy files, and export FCS 3.1 list-mode data. For compensation, transforms, or gating, use FlowKit instead.

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.

Protocols.io API Integration

protocolsio-integration

K-Dense-AI/scientific-agent-skills

Read, validate, and safely export protocols.io protocol data using official REST endpoints, or create non-executing mutation plans. The bundled Python client makes bounded authenticated GET requests only when --execute is supplied.

pydicom DICOM Dataset Toolkit

K-Dense-AI/scientific-agent-skills

Read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data with pydicom 3.0.2. Covers metadata, transfer syntaxes, compression plugins, frames, private elements, JSON export, and bounded de-identification review with strict PHI safety boundaries.

Pyzotero Reference Library Automation

K-Dense-AI/scientific-agent-skills

Manage Zotero reference libraries programmatically with the pyzotero Python client and Zotero Web API v3. Retrieve, create, update and delete items, collections, tags and attachments; search libraries and export BibTeX or CSL-JSON citations for research automation workflows.

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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