개발 스킬

Configure Bazel for large monorepos, investigate dependencies, and improve build performance. The skill provides patterns for build files, caching, remote execution, custom rules, and profiling so teams can diagnose slow builds and shape a more efficient build setup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up Bazel in a monorepo
• Configuring remote caching or execution
• Finding slow build actions

Use this skill to plan and build blockchain applications, including smart contracts, DeFi protocols, NFT platforms, and DAOs. It covers Web3 frontends, blockchain infrastructure, security review, and integrations across several blockchain ecosystems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a DeFi lending protocol
• Building an NFT marketplace
• Planning DAO governance contracts

Create and review Bash scripts for automation, CI/CD, and system tasks. Apply safer input handling, error reporting, portability practices, and testing with tools such as Bats and ShellCheck to make scripts easier to run and maintain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Hardening a deployment script against unsafe input
• Reviewing a Bash script for portability issues
• Adding tests and static checks to shell automation

Analyze an existing codebase from its directories upward, then document code, components, deployment containers, and system context using the C4 model. Produce linked Markdown documentation, Mermaid diagrams, and OpenAPI specifications in a dedicated directory.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Mapping a codebase from source files to system context
• Documenting components and their relationships
• Connecting deployment units to code components

Design firmware and peripheral drivers for ARM Cortex-M boards such as Teensy, STM32, nRF52, and SAMD. The skill helps with interrupts, DMA, memory and cache behavior, and maintainable C++ or Rust code for embedded systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an SPI or UART peripheral driver
• Designing interrupt driven firmware
• Debugging DMA and cache problems

Plan authentication and authorization for applications and APIs using sessions, JWT, OAuth2, or OIDC. It helps define token lifetimes, access policies, secret handling, and audit needs, with guidance for debugging access problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a session, JWT, or OIDC login flow
• Adding OAuth2, social login, or SSO
• Designing RBAC roles and policy checks

Design asynchronous Python systems for APIs and I/O-heavy work such as network or database calls. Choose task, queue, or pool patterns, and account for timeouts, cancellation, backpressure, errors, testing, and debugging.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Handling multiple API requests concurrently
• Designing an async web service
• Processing database or network I/O without blocking

Document major technical decisions with their context, alternatives, trade-offs, rationale, and consequences. The skill also helps link related records, track decision status, and review earlier choices so teams can understand why an architecture took its current shape.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording why a team chose a framework or database
• Comparing trade-offs before an architecture decision
• Reviewing decisions made by a previous team

Find application-wide performance bottlenecks using profiling and observability data, then guide backend and frontend improvements, load testing, and ongoing monitoring. It helps teams measure changes against baselines and set safeguards against regressions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding bottlenecks across backend, frontend, and infrastructure
• Planning load tests and capacity needs
• Setting performance baselines and monitoring

Review code for duplication, complexity, and design problems, then plan and apply small refactoring steps while keeping behavior stable. The result is clearer, easier to maintain code with verification notes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cleaning up tangled or hard to maintain code
• Reducing duplication and complexity
• Improving testability and design consistency

Turn component documentation into a deployment view of a system. Map components to containers such as applications, databases, and queues, then document their interfaces, dependencies, infrastructure needs, and communication in Mermaid diagrams and API specifications.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Mapping components to deployment containers
• Documenting container APIs with OpenAPI or Swagger
• Creating a Mermaid C4 container diagram

Review code changes by combining static analysis, which checks code against rules, with model-assisted context analysis. Identify security, correctness, performance, and architecture concerns, then produce actionable review comments with locations and suggested fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a complex pull request
• Designing an automated code review workflow
• Finding security or performance risks in a diff

Design or review REST and GraphQL APIs by defining consumers, use cases, and constraints. Shape resources or types, errors, versioning, pagination, and authentication into consistent specifications and team standards.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a new REST or GraphQL API
• Reviewing an API specification
• Setting API design standards for a team

Review code changes for security flaws, performance concerns, configuration risks, and maintainability. Combine automated analysis with contextual review, then provide prioritized, actionable feedback and examples to help teams improve reliability before changes reach production.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an API for security and performance issues
• Assessing a database migration for production risks
• Checking deployment configuration for reliability concerns

Plan and carry out large project transformations by analyzing the codebase, breaking work into phases, and setting up documentation and progress tracking. It can use GitHub Issues when available and resume work from existing project records.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a whole-project refactor
• Preparing a migration to a new language or framework
• Breaking a large rewrite into trackable phases

Review code changes in a working tree, a commit date range, or a branch diff. It prioritizes evidence-backed findings such as bugs, regressions, correctness risks, missing tests, and security or data-safety defects, with findings ordered by severity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing uncommitted code changes
• Checking commits from a specified date range
• Reviewing a feature branch against main

Implement, resume, review, or verify the DeepSeek++ scheduled automation feature. Follow its GitHub issues and progress records while preserving the design that schedules runs in the background and executes DeepSeek requests in the page context.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing the next automation issue
• Resuming work from the project progress file
• Reviewing automation changes against architecture rules

Build complex claude.ai artifacts with React, Tailwind CSS, and shadcn/ui. Create interfaces with multiple components, state management for changing data, and routing between views, then package the app into one self-contained HTML file for sharing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating interfaces with multiple components
• Building artifacts with changing data and multiple views
• Sharing a React app as a single HTML file

Create or improve Claude skills that package specialized knowledge, repeatable workflows, and tool instructions. The guide covers planning SKILL.md and supporting files, generating a starter folder, validating the structure, and packaging the result as a distributable ZIP.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning recurring tasks into a reusable skill
• Packaging company knowledge and procedures for Claude
• Improving an existing skill after practical use

Provides a minimal starting point for writing a new skill, with fields for its name and description and a place for instructions. The supplied template contains no working task instructions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a new skill document
• Drafting a skill description and usage conditions
• Preparing a place to write agent instructions

Convert product or technical specifications in Notion into linked implementation plans and actionable tasks. The workflow extracts requirements, dependencies, and acceptance criteria, then tracks task status and progress so a development effort can be followed from planning through completion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Breaking a product spec into implementation tasks
• Defining acceptance criteria for engineering work
• Tracking progress against a Notion implementation plan

Build MCP servers, which give AI agents tools for external services, using Python or TypeScript. The skill guides tool design, input validation, error handling, code review, and evaluations based on realistic tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an MCP server for an external API
• Design tools around complete agent workflows
• Review input validation and error handling

Turn Git commits, records of code changes, into clear release notes for users. The skill groups updates by type, rewrites technical descriptions in plain language, and filters out internal work such as refactoring and tests.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing release notes for a new version
• Summarizing weekly or monthly product updates
• Writing app store update descriptions

Trace a bug backward through its callers to find where invalid data or behavior first originated. The skill suggests adding logs and stack traces when needed, then fixing the source and adding checks at relevant layers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tracing an error through a long call stack
• Finding which test or input triggers a bug
• Locating the source of invalid data