$ show fleurytian/awesome-claude-skills
This repository is a collection of specialized 'Skills' for the Claude AI assistant, each designed to enhance Claude's capabilities for specific professional tasks. The McKinsey Consultant Skill implements McKinsey's Problem Solving methodology to guide users through structured business analysis and generate professional PowerPoint presentations. The Mimeng Writing Skill helps create viral Chinese-style articles by encoding specific writing techniques. The Find-session Skill assists in locating and resuming specific Claude Code conversations through grep-based search of conversation history. The US Government Shutdown Tracker Skill fetches and analyzes economic data from the FRED API to assess liquidity impacts of government shutdowns, generating visualizations and status assessments. The repository demonstrates thoughtful architecture, particularly in the McKinsey Consultant Skill's progressive disclosure approach to manage Claude's context limitations, and contains several reusable components for PPT styling, economic data analysis, and visualization.
The LLM identified 3 files worth highlighting for reuse:
This Python script demonstrates how to generate McKinsey-style PowerPoint presentations using the python-pptx library. It implements McKinsey-specific design rules including: deep blue backgrounds requiring white text, large text boxes using rectangles (not rounded corners), default no borders, and proper color contrast enforcement. The component is reusable as it isolates the styling and generation logic from content, allowing engineers to apply McKinsey design principles to any data-driven PPT generation task with minimal adaptation.
This script fetches and analyzes economic time series data from the FRED API to assess the liquidity impacts of US government shutdowns. It retrieves TGA (Treasury General Account), bank reserves, EFFR, and SOFR data, calculates the SOFR premium as a liquidity stress indicator, identifies key time points (baseline, shutdown start, TGA peak), and determines liquidity status (EASING/TIGHTENING/STABLE/MIXED) based on metric changes. The component demonstrates non-obvious skill in selecting appropriate economic indicators for liquidity analysis and implementing a rules-based assessment framework.
This script generates professional visualization charts for economic liquidity analysis. It creates a three-panel chart showing: 1) TGA vs Bank Reserves (dual-axis), 2) EFFR vs SOFR interest rates, and 3) SOFR Premium over time. The component demonstrates effective visualization practices including proper use of dual-axis charts for related but differently-scaled metrics, clear visual hierarchy with color coding, and informative annotations for key events like shutdown start and TGA peak. It is reusable for visualizing any similar economic time series data.