개발 스킬

Build and improve React interfaces with guidance on component structure, hooks, state management, and Server Components. Review unnecessary rendering, extract reusable logic, and implement accessible forms and loading states using established React patterns.

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• Reviewing component structure and shared state
• Investigating unnecessary rendering
• Extracting reusable custom hooks

Guide SQLite database design and performance tuning for applications. Covers concurrent reads and writes, indexes that speed up queries, full-text search, JSON processing, analytical queries, and versioned changes to database structure.

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• Investigating slow SQLite queries
• Reducing contention between database reads and writes
• Designing full-text search and JSON queries

Helps write and improve Python code with type hints, tests, and organized package settings. Covers dependency management, asynchronous tasks that wait on external operations, and profiling to identify performance bottlenecks before making changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refactoring Python code with type hints and tests
• Organizing package settings and dependencies
• Implementing concurrent input and output tasks

Build web layouts that adapt to screen and component sizes using CSS. Covers flexbox and CSS Grid for arranging content, reusable style variables, fluid text sizing, dark mode, and animations for interactive elements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building layouts for phones and larger screens
• Creating cards that adapt to their container
• Managing shared styles and dark mode

Improve PostgreSQL queries and database design by examining execution plans and choosing indexes for actual access patterns. Get guidance on large tables, JSONB data, connection pooling, and maintenance while accounting for write overhead and memory use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow queries with execution plans
• Choosing indexes for search patterns
• Designing partitions for time-series data

Design GraphQL APIs with clear data types, data-fetching functions called resolvers, and real-time updates. Address repeated database calls, pagination, structured errors, and expensive queries while planning schema changes that preserve compatibility.

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• Designing schemas around business concepts
• Reducing repeated database calls with DataLoader
• Planning real-time subscriptions over WebSocket

Manage Git branches, resolve conflicting changes, organize commit history, and recover earlier work after mistakes. Also helps teams choose a branching workflow that fits how they review changes, integrate work, and release software.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resolving conflicts during a merge or rebase
• Organizing commits before merging a branch
• Recovering deleted branches or older file versions

Write and improve Go code with clear error handling, interface design, and tests. Build concurrent workflows, where tasks run independently, with controlled worker counts, cancellation, and explicit shutdown paths for background work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building worker pools with concurrency limits
• Adding cancellation and deadlines to long-running work
• Reviewing interfaces and package design

Design MongoDB data structures around how data is accessed, write queries, and build staged data transformations for aggregation. Review indexes and query execution statistics to identify performance issues and choose suitable approaches for related or time-series data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing between embedded and referenced data
• Writing search queries and aggregation pipelines
• Reviewing slow queries and index usage

Design authentication and access permissions for web apps, mobile apps, and backend services using OAuth 2.0 and OpenID Connect. Get guidance on authorization flows, token validation, secure storage, renewal, and revocation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add login to a web or mobile app
• Review token storage and renewal
• Design access permissions between services

Design consistent API specifications with OpenAPI 3.0 and 3.1. Define requests, responses, authentication, and reusable data structures, then guide specification checks, documentation, and generation of client libraries or starter server code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define an API contract before implementation
• Standardize authentication and error responses
• Check API specifications in CI

Review code for security risks, logic bugs, and performance problems. Receive specific feedback explaining the affected lines or patterns, why they matter, and how to fix them, with required changes separated from optional improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing code changes before merging a pull request
• Checking input validation, access controls, and secret handling
• Finding inefficient queries and blocking operations

Manage GitHub collaboration through the gh command-line tool and GitHub APIs. Create and review pull requests, organize issues, investigate failed Actions workflows, check automated tests before merging, and prepare releases with generated notes.

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• Creating a pull request with a clear description
• Organizing issues with labels and milestones
• Investigating failed Actions workflows

Build Next.js applications with App Router, the app directory routing system. Get guidance on server rendering, data fetching, caching, API endpoints, and deployment settings, including loading states and image optimization for responsive page experiences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing pages and shared layouts with App Router
• Configuring data caching and revalidation
• Implementing forms and API endpoints

Design tools that agents can select and call correctly. Clarify descriptions, input rules, response formats, and recovery messages, then review overlapping tools and naming conventions using examples of successful and failed calls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing descriptions and input rules for new tools
• Investigating incorrect tool selection and calls
• Improving error messages with recovery steps

Use a structured starting point to write new context engineering skills. Organize activation conditions, responsibilities, practical steps, examples, and common mistakes, while keeping detailed references separate and clarifying boundaries with related skills.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft a new SKILL.md
• Clarify when a skill should activate
• Define boundaries with related skills

Apply staged skill improvements selected by the user after a fresh review of the actual changes. It backs up target files, applies passing patches, and records review evidence and change history for later inspection or reversal.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Apply selected patches after a meta-optimize run
• Review staged changes immediately before applying them
• Keep backups for reverting skill changes

Build a runnable prototype from a plain feature request, then add capabilities one step at a time. The skill records consequential assumptions before coding, checks each step, and reports remaining placeholders, deferred work, and review limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a runnable prototype from a feature description
• Extending a prototype through checked feature steps
• Recording decisions where requirements are unclear

Turn a feature request into a working prototype, starting with a minimal path from input to output and adding features through individual checks. Record consequential assumptions before coding, then use a separate model to find decisions missing from that record.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a working prototype from a feature description
• Extending a prototype one checked feature at a time
• Recording assumptions made during implementation

Investigate software errors, version conflicts, and API questions across official documentation, GitHub, technical Q&A, and Chinese developer communities. Results distinguish matching errors, source authority, and reported environments, giving you documented leads and next checks for debugging.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find existing reports of the same error
• Investigate package and runtime version conflicts
• Look up API usage in documentation and Q&A

Explore computer architecture and circuit design settings by repeatedly running programs, measuring results, and adjusting parameters. Compare configurations against a baseline, respect design constraints, and receive a report with the best configuration found and the search history.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tune cache sizes and processor settings
• Reduce circuit area while meeting timing constraints
• Compare compiler flags for runtime or code size

Measure scripts, running processes, or whole systems to find performance bottlenecks. Select suitable tools, add measurement code when needed, and report CPU, GPU, memory, and communication findings with prioritized recommendations and a record of file changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding slow functions in a Python script
• Investigating CPU and GPU memory usage
• Measuring communication overhead across multiple GPUs

Explore hardware and electronic design configurations by repeatedly running programs, measuring results, and adjusting parameters. Track constraints and every trial, then report the best configuration found within the time and iteration limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Tuning cache sizes and processor configuration
• Reducing circuit area while meeting timing constraints
• Comparing compiler flags for runtime or code size

Analyze ARIS usage logs to propose evidence-based changes to skill instructions, reviewer prompts, and workflow defaults. Receive a report and focused patch proposals, with selected patches staged for a separate application process.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate recurring workflow failures
• Review defaults that users frequently override
• Identify the current workflow bottleneck