Agent Skills Hub

PAI

Physical hardware synthesis bridge for PAI. Generates blueprints, 3D printing code, SVG paths for laser cutting, and G-Code for CNC machining to bring agentic designs into the physical world.

nuwa-skill

A perspective engineering engine that researches, extracts mental models, and generates runnable persona skills based on deep expression DNA analysis.

seaborn

Statistical visualization library for Python. Create publication-quality graphics like box plots, heatmaps, and violin plots with pandas integration and automatic statistical estimation.

statsmodels

Statistical modeling and econometrics library for Python. Performs OLS, GLM, mixed models, ARIMA, diagnostics, and inference for rigorous scientific analysis.

xhs-writing-coach

AI-powered coach for Xiaohongshu (XHS) note writing. Generate viral, platform-optimized content with storytelling templates, engagement hacks, and automated compliance tagging.

parxy

A unified document processing gateway for PDF parsing, text extraction, conversion, and document manipulation across multiple local and cloud providers.

six-thinking-hats

Apply the Six Thinking Hats methodology to software testing for structured, comprehensive quality analysis, test strategy design, and team discussions.

memory-systems

Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.

doc-updater

Automatically detect code changes and suggest documentation updates. Keeps READMEs, API specs, and configuration guides in sync with your implementation.

context-fundamentals

Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.

issue-triage-report

Generate triage reports and analyze feature area health for the Windows App SDK repository. Identify high-priority issues, triage backlogs, and team focus areas.

prompt-optimizer

Transforms vague or poorly structured prompts into optimized, high-performance instructions using proven prompt engineering principles for better AI model execution.