개발 스킬

Update Spring Boot 3.2+ code from RestTemplate to the fluent RestClient API. The examples cover GET, POST, and DELETE requests, client bean configuration, status-based error handling, and typed responses for generic data such as lists and maps.

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• Replacing RestTemplate calls with RestClient
• Updating GET, POST, or DELETE request code
• Configuring a shared RestClient bean

Use this reference to reason about how concurrent database transactions interact. It helps classify conflicts and isolation anomalies, compare protocol families such as locking, MVCC, and OCC, and assess whether a commit or abort is required for correctness.

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• Classifying a transaction conflict or isolation anomaly
• Comparing locking, MVCC, OCC, or SSI approaches
• Tracing dependencies between transactions

Organize a Three.js scene into named parts, apply world transforms to mesh geometry, and export each part as an OBJ file. The workflow can also build a URDF model from named links, with deterministic ordering for repeatable output.

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• Exporting each named part of a Three.js scene as OBJ
• Expanding InstancedMesh objects for export
• Preparing meshes with baked world transforms

Update Spring Security 5 configurations for Spring Security 6 by replacing the adapter-based setup with SecurityFilterChain beans, changing URL matcher and method-security APIs, and converting chained configuration to the lambda DSL. It also highlights authentication manager and servlet namespace changes.

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• Migrating a Spring Boot 2 security setup
• Replacing WebSecurityConfigurerAdapter
• Updating URL matchers and method security

Plan a migration from Spring Boot 2.x to 3.x with guidance on version and Java updates, incompatible dependencies, and javax-to-jakarta changes. The skill includes an OpenRewrite migration example and a checklist for compiling and reviewing the application afterward.

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• Updating a Maven project from Spring Boot 2 to 3
• Finding dependencies that conflict with Jakarta EE
• Applying an OpenRewrite recipe and reviewing migration steps

Use this guide to update Java EE imports for a Jakarta EE migration, especially when moving to Spring Boot 3. It maps common packages, shows batch replacement and verification commands, and flags JDK namespaces that should stay unchanged.

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• Updating imports during a Spring Boot 3 migration
• Finding javax imports that need replacement
• Checking Java and test files for migration gaps

Use this skill to move a Spring Boot application from Hibernate 5 to Hibernate 6. It helps update query syntax, replace removed APIs, review type mappings and ID generation, and investigate changes in query performance such as N+1 behavior.

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• Upgrading a Spring Boot application to Hibernate 6
• Fixing HQL or JPQL parsing errors
• Replacing the legacy Criteria API

Follow the build workflow for adding syscall descriptions to syzkaller: edit description files, provide constants, compile descriptions, and build the project. It also outlines quick rebuilds, common errors, and places to find existing examples.

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• Add a new syscall description to syzkaller
• Rebuild descriptions after a small edit
• Track down missing types or constants during compilation

Use `tshark` to inspect PCAP captures, filter HTTP traffic, extract request fields, follow TCP conversations, and export payload bytes. The workflow helps narrow a capture from broad protocol searches to specific flows and details for analysis.

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• Filter HTTP requests in a PCAP capture
• Extract request time, source, method, and URI
• Inspect a TCP request and response stream

Prepare a Python environment for reproducing NLP research code by checking the repository’s declared dependencies and Python version first. The workflow records the current setup, aligns versions when needed, installs from dependency files, and finishes with a quick import check.

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• Reproducing an NLP research repository
• Checking a Python version mismatch
• Installing packages from requirements.txt or environment.yml

Set up a Python project environment with uv, an environment and package manager. The workflow checks for pyproject.toml or requirements.txt, installs dependencies through the matching route, and runs scripts or modules inside the project environment.

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• Setting up a Python project's virtual environment
• Installing packages from project dependency files
• Running a script inside the project's environment

Plan and build a Codex skill for a specialized task, including its instructions and optional scripts, references, or assets. The guide covers initialization, editing, packaging, and iteration so the result is organized for reuse.

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• Creating a new Codex skill for a recurring task
• Updating an existing skill's instructions or resources
• Deciding whether to bundle scripts, references, or assets

Export Three.js scenes, meshes, or geometries as Wavefront OBJ text that other 3D tools can read. The guidance covers world-space transforms, combining geometry, and exporting named scene components as separate parts.

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• Three.jsのメッシュをOBJ形式で出力
• シーン内の複数ジオメトリをまとめて書き出し
• 名前付きグループごとにパーツを出力

Define kernel constant values, such as ioctl numbers and flags, for syzkaller syzlang descriptions. The guidance covers manual `.const` files and extracting values from kernel headers, plus architecture settings and build checks.

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• Adding ioctl values to a syzlang description
• Creating a companion `.const` file
• Extracting constants from kernel headers

Use this guide while building, reviewing, or refactoring React and Next.js apps. Its prioritized rules cover data-fetching waterfalls, bundle size, server and client performance, rendering, and JavaScript, helping identify concrete optimization opportunities.

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• Reviewing a React page for performance issues
• Reducing bundle size or load times
• Refactoring data fetching to avoid sequential waits

Add integral action to model predictive control (MPC) so tension tracking can correct steady-state offsets caused by model mismatch. The skill gives update equations, gain and decay guidance, an anti-windup limit for saturation, and an example for multiple tension sections.

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• Correcting steady-state tension tracking error
• Adding an integrator to an MPC controller
• Tuning integral gain and decay

Use side-by-side examples to translate common Python constructs into Scala, including variables, types, control flow, comprehensions, functions, formatting, operators, exceptions, and optional values. The guide helps you find an equivalent pattern while converting code between the languages.

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• Translating Python variables and types into Scala
• Converting loops and comprehensions to Scala
• Checking Scala patterns for exceptions and optional values

Translate Python code into clean, idiomatic Scala by applying immutable values, expression-based code, pattern matching, and safer types. It helps produce Scala that follows common conventions instead of copying Python syntax directly.

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• Rewriting Python code in idiomatic Scala
• Replacing mutable loops with collection operations
• Modeling variants with sealed types and pattern matching

Turn sequential Python work into concurrent or parallel code suited to its bottleneck: multiprocessing for CPU-heavy tasks, asyncio or threads for waiting on I/O, and vectorization for array operations. The guidance accounts for shared state, ordering, errors, and resource limits.

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• Speed up independent CPU-heavy loop iterations
• Run many network or file requests concurrently
• Replace nested numeric loops with vectorized operations

Use this skill to answer reflow oven maintenance questions by finding relevant handbook guidance and checking it against thermocouple, MES, or defect data. It supports calculations for temperature profiles, time above liquidus, peak temperatures, and conveyor speed.

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• Checking a temperature profile against handbook limits
• Calculating time above liquidus from thermocouple readings
• Comparing MES or defect data with maintenance guidance

Diagnose Python memory use and reduce a program’s footprint while preserving its behavior. Profile allocations, identify inefficient data structures or leaks, and apply techniques such as generators, chunked processing, smaller object layouts, and optimized numeric types for large datasets.

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• Reduce memory use in a Python program
• Investigate a suspected memory leak
• Process a large CSV in chunks

Translate Python object-oriented code into Scala by mapping classes, dataclasses, inheritance, properties, static and class methods, and common design patterns to Scala constructs. Get concrete examples of equivalent structures and idiomatic alternatives.

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• Converting Python classes and dataclasses to Scala
• Mapping inheritance and abstract classes to Scala traits
• Translating properties and class-level methods

Translate Python list, dictionary, and set operations into idiomatic Scala collection code. Compare examples for mapping, filtering, folding, sorting, grouping, aggregation, lookup, and the differences between mutable and immutable collections.

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• Porting Python collection code to Scala
• Translating map, filter, and reduce operations
• Replacing dictionary lookups with Scala Maps

Choose and implement ways to distribute parallel tasks across workers, processes, or nodes. It covers fixed and dynamic partitioning, work stealing, and adaptive scheduling to reduce uneven workloads and slow stragglers.

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• Balancing work across parallel workers
• Choosing a scheduling strategy for uneven task times
• Reducing delays from straggling tasks