egg

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

Plan and launch an autonomous Ralph coding loop

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>

Internal agent — dispatched programmatically by the leetcode-teacher skill at activation and resumed at session end. Not user-facing. Handles all learner profile and ledger I/O: loading, validation, repair, retest suggestion computation, and session write-back. Generates session metadata (ID + timestamp) on first dispatch.

This skill should be used when the user wants to prepare for behavioral interviews, generate a behavioral answer bank, practice STAR or SOAR format answers, prep a resume walkthrough narrative, or generate questions to ask their interviewer. Trigger phrases include "prep behavioral", "behavioral interview prep", "prep me for interview at", "practice behavioral questions", "generate behavioral answers", "behavioral prep for", "interview stories for", "STAR method answers", "SOAR answers", "prep my stories", "answer bank for interview", "resume walkthrough", "walk me through your resume prep", "questions to ask my interviewer", or when a user has completed a resume-builder run and asks for interview preparation. It chains off resume-builder output (notes.md, resume.tex, candidate-context.md) to produce a tailored question-and-answer bank.

This skill should be used when the user wants to write a cover letter for a job application. Trigger phrases include "write cover letter", "cover letter for", "draft cover letter", "write a cover letter for this role", or when a user asks for a cover letter after resume tailoring. It reads the notes.md from a prior resume-analyzer run and produces a tailored cover letter.

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", "prepare me for S&T behavioral", "why trading", "what should I know for my interview", "fit questions", "stock pitch", "market dashboard", "how do I research a stock", "equity due diligence", "how do hedge fund analysts work", or pasting Bloomberg/financial news headlines. It covers FICC (Fixed Income, Currencies, Commodities), Equities, Credit, Crypto, Macro Economics, Derivatives, market mechanics, S&T behavioral/fit interview prep, and practitioner workflows (equity research process, trade idea generation, risk management in practice). Target firms span hedge funds (Balyasny, Citadel, Point72), 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 prioritizes practitioner-level knowledge over textbook answers — teaching how traders and PMs actually think, research, and make decisions rather than academic frameworks. Includes structured concept breakdowns with progressive hints, and 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. It also supports "aha mode" for getting the optimal solution immediately without Socratic scaffolding.

6 hooks across 4 events