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Create well-formatted commits following Conventional Commits 1.0.0

Diagnose and fix bugs in Claude Skills by tracing execution paths and identifying root causes

Critically evaluate a proposed plan to modify a Claude Code skill before implementation

Check the current status of your project

Reviews code for quality, best practices, security vulnerabilities, and performance issues. Provides structured feedback with specific line references and suggested fixes. <example> Context: User has finished implementing a feature user: "Review this code for any issues" assistant: "I'll use the code-reviewer agent to analyze the code." <commentary> User is requesting a code quality review, trigger the code-reviewer agent. </commentary> </example> <example> Context: User wants a quality check before committing user: "Can you review my changes before I commit?" assistant: "I'll use the code-reviewer agent to review your changes." <commentary> User wants pre-commit review, trigger the code-reviewer agent. </commentary> </example> <example> Context: User asks about code quality or security user: "Check this file for security vulnerabilities" assistant: "I'll use the code-reviewer agent to check for security issues." <commentary> User requesting security review, trigger the code-reviewer agent. </commentary> </example>

Generates documentation for code files and projects

This skill should be used when the user asks to learn, practice, or be tested on global markets, trading, and finance interview topics. Common triggers include "teach me about swaps", "explain contango", "quiz me on rates", "mock interview Goldman S&T", "headline analysis", "walk me through yield curves", "explain carry trade", "test me on Greeks", "how do credit default swaps work", "mock interview for Balyasny", or pasting Bloomberg/financial news headlines. It covers FICC (Fixed Income, Currencies, Commodities), Equities, Credit, Crypto, Macro Economics, Derivatives, and market mechanics. Target firms span hedge funds (Balyasny, Citadel), banks (Goldman S&T, JPM), asset managers (BlackRock, PIMCO), trading houses (Glencore, Trafigura), energy majors (Exxon, Shell), and crypto trading/market-making firms (Galaxy, Cumberland, Wintermute, QCP). It acts as a Socratic teacher that guides through structured concept breakdowns with progressive hints rather than direct answers, and includes a Mock Interview mode for full interview simulation.

This skill should be used when the user asks to learn, practice, or be tested on coding interview problems (LeetCode, NeetCode, DSA), ML implementations, or data structures and algorithms. Common triggers include "teach me", "explain this problem", "walk me through", "help me understand", "how to solve", "how does [data structure] work", "coding interview", "implement [algorithm/optimizer/layer]", or providing a leetcode.com or neetcode.io URL. It also handles recall testing and mock interview modes when the user says "quiz me", "test my recall", "mock interview", or "drill me on". It acts as a Socratic teacher that guides through structured problem breakdowns with progressive hints rather than direct answers.

Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.

Write correct, idiomatic Apple MLX code for Apple Silicon ML. Use when working with MLX arrays, neural networks, training loops, lazy evaluation, unified memory, mx.eval, mx.compile, Metal GPU, memory optimization, quantization, or Apple Silicon performance. Covers critical API differences from PyTorch/NumPy, array indexing gotchas (lists must be mx.array, slices create copies), NHWC format for Conv2d, __call__ not forward(), float64 CPU-only, mlx-lm integration, and debugging patterns.

This skill should be used when the user wants to tailor a resume for a specific job description, or write a cover letter for a role. Trigger phrases include "tailor resume", "tailor my resume", "optimize resume for JD", "build resume for", "target job description", "customize resume for", "adapt resume to job", "resume for this role", "refactor resume", "update resume for", "match resume to JD", "resume for this position", "write cover letter", "cover letter for", "tailor cover letter", "draft cover letter", or when a user pastes a job description alongside their resume. It performs keyword extraction, gap analysis, and produces a tailored LaTeX resume with detailed analysis notes. It can also generate a tailored cover letter.

This skill should be used when the user asks to "write a blog post", "draft a blog post", "create a technical blog", "write a deep dive", "write an explainer", "blog about", "write a tutorial post", "turn this into a blog post", or wants to create technical content for a personal blog or static site. Default platform is Jekyll (Gundersen-style) with KaTeX math, BibTeX citations via jekyll-scholar, and custom figure HTML. Covers deep dives, explainers, tutorials, and project showcases on ML, statistics, computer science, finance, math, and quantitative topics. Generates Markdown with SEO frontmatter, code examples, and diagram suggestions.

7 hooks across 4 events