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
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.
Wraps command execution in a self-healing loop. Uses heuristics to auto-fix common errors (missing deps, locked files) or escalates to the Agent with structured error context.
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.
Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node_essentials and get_node_info,...
Use when implementing attention mechanisms, building custom transformer models, understanding positional encoding, or optimizing transformer inference - covers self-attention, multi-head...
Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning...
Operation-aware node configuration guidance. Use when configuring nodes, understanding property dependencies, determining required fields, choosing between get_node detail levels, or learning...
Creates effective SKILL.md files with proper YAML frontmatter, trigger keywords, and best practices. Use when creating skills, writing skill descriptions, authoring SKILL.md files, or learning...
Analyze the current session and propose improvements to skills. **Proactively invoke this skill** when you notice user corrections after skill usage, or at the end of skill-heavy sessions. Also...
Core GSAP animation concepts including tweens, timelines, easing functions, and animation properties. Use when implementing basic animations, transitions, or learning GSAP foundations. Essential...
Comprehensive guide for Zod 4 schema validation library. This skill should be used when migrating from Zod 3, learning Zod 4 idioms, or building new validation schemas. Covers breaking changes,...
Game building mechanics case studies and decision frameworks. Use when designing building systems, evaluating trade-offs, or learning from existing games. Reference-only skill with detailed...
Comprehensive guide to writing Compact smart contracts for Midnight Network. Use this skill when writing, reviewing, debugging, or learning Compact code. Triggers on "write a contract", "Compact...