Git is deceptively simple to learn and incredibly hard to master. The difference between a team that ships and a team that fights merge conflicts all day comes down to workflow discipline. Your...
World-class accessibility design expertise combining the inclusive design principles of Microsoft's Inclusive Design team, the technical rigor of the W3C WCAG working group, and the lived...
Mastery of AI image generation across the full spectrum: Midjourney for aesthetic perfection, Flux for prompt adherence, DALL-E 3 for concept clarity, Stable Diffusion for control, and Imagen 3...
A simple hello-world skill example. Use this to learn how to structure your own Agent Skills.
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Risk management rules learned from competition outcomes. Use when sizing positions or setting stop-losses.
Execute comprehensive disaster recovery tests, validate recovery procedures, and document lessons learned from DR exercises.
Explains code snippets in plain English, breaking down what the code does step by step. Perfect for learning, code reviews, or documentation.
Frontend spec generator (Step-by-Step mode). Chapter-by-chapter user approval. Best for small projects or learning.
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning
Build Rust code with proper error handling and optimization for development, testing, and production. Use when compiling the self-learning memory project or troubleshooting build errors.
This skill should be used when users request help optimizing, improving, or refining their prompts or instructions for AI models. Use this skill when users provide vague, unclear, or poorly...
Validates agent configurations for model selection, tool permissions, focus areas, and approach quality. Use when reviewing, auditing, improving agents, or learning agent best practices.
Expert guidance for creating Claude Code slash commands. Use when working with slash commands, creating custom commands, understanding command structure, or learning YAML configuration.
Share your IDD adoption story. Through structured interviewing, create blog posts about Intent-Driven Development experiences, lessons learned, and best practices. Supports multiple languages and formats.
Guide for authoring specialized AI agents. Use when creating, updating, or improving agents, choosing models, defining focus areas, configuring tools, or learning agent best practices.
Audits Claude Code hooks for correctness, safety, and performance. Use when reviewing, validating, or debugging hooks, checking exit codes, error handling, or learning hook best practices.
Audits skills for discoverability and triggering effectiveness. Use when reviewing skill descriptions, checking trigger coverage, validating progressive disclosure, fixing invocation issues, or...
Generates commit messages by analyzing git diffs and learning project commit style. Use when committing code changes, when the user asks for help writing commit messages, or mentions git commit.