개발 스킬

Support the implementation of background job systems by covering queue management, retry policies, dead-letter handling for jobs that repeatedly fail, and distributed workers. The supplied skill file is a stub and provides no detailed implementation steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan queue management for background jobs
• Choose retry behavior for failed jobs
• Handle repeatedly failing jobs and distributed workers

Build features from failing acceptance tests, then refine the design with fast in-memory adapters before adding database, network, or file I/O. The workflow uses outside-in TDD and hexagonal architecture to keep tests focused on behavior and easier to refactor.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a feature with an acceptance test
• Keeping backend tests fast with in-memory adapters
• Separating domain logic from database or network I/O

Create Bash script templates with error handling, option parsing, logging, and portability in mind. Provide a reusable starting point with strict mode, helper functions, usage text, and a main function tailored to the script’s name, purpose, arguments, and requested functions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a new Bash script
• Adding option parsing and help text
• Setting up logging and error handling

Choose an algorithm for a string-processing problem based on its type and constraints. Get a suggested approach, its complexity, alternatives, and implementation guidance for pattern matching, suffix queries, palindrome detection, subsequences, and dynamic programming.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing an algorithm for a pattern search
• Comparing suffix structures for string queries
• Finding a method for palindrome problems

Use this skill to implement backend work that runs asynchronously or in the background. Its stated scope includes event-driven architectures, message queues, async task runners, and worker pools, though the supplied skill file is only a stub.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning event-driven backend processing
• Choosing a message queue pattern
• Designing background task runners

Get implementations and guidance for number theory algorithms used in competitive programming. The skill can provide code and explanations for modular arithmetic, greatest common divisors, Chinese remainder theorem, FFT or NTT, and related operations, along with complexity details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement modular exponentiation or an inverse
• Solve congruences with the Chinese remainder theorem
• Multiply polynomials using FFT or NTT

Find and check loop invariants to support algorithm correctness proofs. The analysis can extract preconditions and postconditions, identify missing invariants, and outline a proof using initialization, maintenance, and termination properties.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Outlining a correctness proof for a loop
• Checking whether a proposed invariant holds in code
• Finding missing preconditions or postconditions

Create terminal user interfaces in Node.js with blessed widgets. Generate dashboard layouts, interactive forms, lists, and custom components, with patterns for styling, borders, event handling, and updating displayed data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a monitoring dashboard in the terminal
• Creating an interactive configuration form
• Arranging lists and boxes in a Node.js TUI

Build suffix arrays, LCP arrays, suffix trees, and suffix automata for string processing. Choose construction algorithms and add query implementations for tasks such as pattern matching and counting distinct substrings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a suffix array for fast pattern searches
• Add LCP queries to a string processing solution
• Count distinct substrings in a text

Scaffold a Python command-line application using the standard library's argparse module. Generate a project layout with subcommands, shared arguments, custom type converters, and mutually exclusive options, creating a lightweight CLI whose core has no external dependencies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a lightweight Python CLI project
• Organizing commands with argparse subparsers
• Adding argument validation and exclusive options

Build email and push notification delivery features, covering transactional messages, reusable notification templates, delivery tracking, and handling bounced email. The supplied skill file is a stub, so it does not yet describe implementation steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement transactional email delivery
• Create notification templates
• Track delivery status

Handle text files that use different encodings across platforms. Detect common BOM markers, decode and convert text, add or remove a UTF-8 BOM, and manage Windows codepage support and encoding errors in application code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading files with different encodings
• Converting text between encodings
• Handling UTF-8 and UTF-16 BOMs

Scaffold a Rust command-line application with Clap derive macros, typed arguments, and subcommands. The generated Cargo project can include shell completion scripts, colored output, error handling, configuration utilities, and CLI integration tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 新しいRust製CLIのひな形を作る
• 引数やサブコマンドを定義する
• シェル補完付きのCLIを用意する

Generate utilities that turn structured data into readable command-line tables. Set column widths and alignment, choose border styles, and account for responsive sizing or multiline cells so lists and status output are easier to scan in a terminal.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Formatting records as a terminal table
• Aligning columns and setting widths
• Choosing Unicode or Markdown borders

Work on database driver and connector integration, including connection pooling, query builders, ORM setup, and abstraction layers for multiple databases. The supplied skill file is a stub, so it does not describe specific steps or supported technologies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a database connector integration
• Review multi-database abstraction needs
• Discuss ORM and connection-pooling setup

Generate code for prime number sieves, primality tests, and factorization. Choose methods such as segmented or linear sieves, Miller–Rabin, and Pollard’s rho, with output that can include complexity and memory usage details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 大きな範囲の素数を列挙する
• 素数判定のコードを用意する
• 整数の素因数分解を実装する

Configure cosmiconfig to find application settings across supported file names and formats. Set search paths, add loaders for formats such as TypeScript, combine loaded values with defaults, and handle caching and validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding configuration discovery to a Node.js app
• Supporting JSON, YAML, or TOML settings
• Loading TypeScript configuration files

Implement computational geometry algorithms for programming problems, including convex hulls, intersections, closest-point pairs, triangulation, and polygon tests. The skill can provide code in C++, Python, or Java, with complexity and usage details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing a convex hull algorithm
• Solving point, line, or polygon geometry problems
• Comparing algorithm variants and complexity

Scaffold a Go command-line application with Cobra commands and Viper configuration. Generate a project layout with shared and local flags, environment variable binding, shell completion, and build setup based on the requested commands.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a new Go CLI project
• Designing commands and subcommands
• Adding shared flags and configuration

Generate utilities for moving configuration files between versions. Define upgrade and downgrade steps, reshape fields as formats change, and apply migrations up to a chosen target version, with a TypeScript pattern that checks version order.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Upgrading configuration files to a new format
• Moving configuration fields into nested sections
• Generating upgrade and downgrade steps

Work with asynchronous Rust using runtimes such as Tokio and async-std. The skill description names executor internals, pinning, and wakers as topics, and points to building high-performance async services; implementation details are pending.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing between Tokio and async-std
• Learning how Rust async executors work
• Working with pinning and wakers

Generate computational geometry code for points, lines, segments, polygons, and circles. It supports operations such as intersections, distances, orientation, and area, with attention to edge cases and numerical precision; output can target C++, Python, or Java.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing point and vector operations
• Checking whether lines or segments intersect
• Calculating polygon area or centroid

Configure cross-env so npm scripts and CLI commands can set environment variables across operating systems. It helps add the package to package.json, define scripts for development, builds, tests, and production, and handle platform-specific variables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting environment variables in npm scripts
• Making CLI commands work across operating systems
• Adding cross-env to a project

Generate segment tree code for range queries and updates using a chosen merge function. Select basic, lazy propagation, persistent, 2D, or other advanced variants, along with an implementation style and supported programming language.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing range queries with custom merge logic
• Adding range updates with lazy propagation
• Choosing a persistent or 2D segment tree variant