'spr' 검색 결과

Build Java REST APIs and microservices with Spring Boot 3.x, including database access, authentication, and reactive endpoints for nonblocking request handling. The skill also guides testing and application health checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building Java REST APIs
• Adding authentication and access controls
• Implementing database access

Java Spring Boot 서비스의 인증, 접근 권한, 입력 검증 등 보안 대책을 검토합니다. 비밀 정보 관리부터 API 호출 제한과 의존성까지 확인합니다.

• 인증과 접근 권한을 추가합니다
• API 입력 검증과 SQL을 검토합니다
• CSRF와 CORS 설정을 확인합니다

Spring Boot 변경 사항을 빌드, 정적 분석, 테스트, 보안 검사로 검증합니다. 코드 차이도 검토해 배포 전 통과 여부와 수정할 문제를 정리합니다.

• Spring Boot 풀 리퀘스트 전 검사
• 리팩터링이나 의존성 업데이트 후 검증
• 테스트 커버리지 목표 달성 여부 확인

테스트를 먼저 작성하는 절차로 Spring Boot 기능을 추가하고 오류를 수정합니다. 단위 테스트, 웹 계층과 데이터 저장 검증, 통합 테스트 및 커버리지 확인을 다룹니다.

• 테스트부터 Spring Boot API를 추가할 때
• 오류 재발 방지 테스트를 작성할 때
• 데이터 저장과 조회를 검증할 때

Build and debug Java applications with Spring Boot 3.x. This skill guides application design, API implementation, database query tuning, authentication, and testing, including WebFlux applications that process requests without blocking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build APIs with Spring Boot
• Improve slow JPA queries
• Configure OAuth2/JWT authentication

Build or review Java Spring Boot backends using examples for web APIs, separate application layers, and database access. Covers input validation, error handling, caching, background processing, and logging to guide maintainable implementations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing web APIs and separating application layers
• Reviewing database access and transactions
• Adding input validation and centralized error handling

Create a Kotlin Spring Boot project with database connections, API documentation, and local services managed through Docker Compose. Set up dependencies and configuration files, then run Gradle tests to check the initial project.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a Kotlin Spring Boot project
• Setting up local Redis, PostgreSQL, and MongoDB services
• Adding API documentation and architecture test dependencies

Investigate Spring configuration and Beans, the objects Spring manages, using Arthas. Check configuration sources, find registered objects by name or type, and inspect registration details while prioritizing read-only queries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking configuration values and where they came from
• Investigating a Bean that appears to be missing
• Finding candidate implementations for dependency injection

Prepare generated or hand-drawn artwork for a game's required file layout, dimensions, colors, and transparency. Create sprite sheets, assemble animation frames, and render 3D models into consistent views for use as game images.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare artwork for a game's required sprite dimensions
• Assemble animation frames into a sprite sheet
• Render a 3D unit from multiple directions

Generate 2D game characters, props, icons and effects, or prepare existing artwork for use in a game. The skill removes backgrounds, separates frames, adjusts size and palettes, checks results, and exports assets for game engines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a character master still
• Split prop or effect sheets into frames
• Prepare existing frames for a game engine

Spring Boot와 Quarkus의 Java 코드를 명명, 불변 데이터, 예외 처리, 프로젝트 구조와 테스트 규약에 따라 작성하고 검토합니다. 빌드 파일로 프레임워크를 판별합니다.

• Java 코드의 규약 준수 검토
• Optional과 streams 사용 확인
• 패키지와 프로젝트 구조 정리

Build Spring Boot applications with guidance on project structure, configuration, APIs, database access, logging, testing, and security. Apply practices such as constructor injection, passing required components through constructors, and consistent handling of validation errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning a Spring Boot project structure
• Implementing API validation and error responses
• Reviewing database access and transactions

Create a Spring Boot Java project skeleton with Maven, database connection settings, and Docker Compose services. Adds dependencies for API documentation and architecture tests, then checks the generated project with a Maven test command.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start a Java 21 Spring Boot project
• Prepare local PostgreSQL, Redis, and MongoDB services
• Add API documentation and architecture test dependencies

Prepare for CMMC Level 2, a cybersecurity certification for defense contractors. Define the systems handling controlled information, review security requirements, calculate the SPRS assessment score, and organize remediation plans and evidence into a readiness report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Define the assessment scope for systems handling controlled information
• Calculate an SPRS score and prioritize unmet security requirements
• Prepare security plans, remediation milestones, and assessment evidence

Create or update a sprint plan, a short development work plan, using existing work items, completed work, and available capacity. Organize priorities, carryover, dependencies, and risks, and produce a progress report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan the next sprint around available capacity
• Re-estimate unfinished work carried into the next sprint
• Update task priorities and estimates

Quantifies CRISPR editing outcomes with CRISPResso2 (Clement 2019 Nat Biotechnol) across Cas9-nuclease (indels, HDR), CBE and ABE base editors (target conversion + bystander), and prime editor (pegRNA-templated) modes. Covers single-amplicon (CRISPResso), multi-sample batch (CRISPRessoBatch), pooled-amplicon (CRISPRessoPooled), WGS off-target (CRISPRessoWGS), and sample-comparison (CRISPRessoCompare) workflows; quantification-window math that controls what is called edited; substitution-vs-indel diagnostic to distinguish BE from Cas9 contamination; MMEJ deletion pattern interpretation; allele-frequency tables; and failure modes from amplicon misalignment or contamination. Use when quantifying editing from amplicon sequencing, choosing CRISPResso mode by design, distinguishing intended edits from bystanders and indel byproducts, debugging low-alignment runs, or generating publication-grade editing reports.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the measurement and ceremony layer of a delivery team: the metric set, estimation and capacity, the five sprint ceremonies, and the sprint report and quarterly rollup. Use this skill whenever the user is acting as PMO or scrum lead, planning a sprint, running standup, refinement, review, or retro, measuring velocity, cycle time, or throughput, checking capacity, or reporting on how a team is doing. Triggers on PMO, sprint planning, plan the sprint, standup, refinement, backlog grooming, sprint review, retro, velocity, capacity, cycle time, lead time, throughput, WIP, burndown, carryover, sprint report, story points to hours, how is the team doing, delivery metrics, agent lanes. Also triggers when the user asks how much work fits in a sprint or whether a team is on track, even if they never say sprint or PMO.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Quantifies CRISPR editing outcomes with CRISPResso2 (Clement 2019 Nat Biotechnol) across Cas9-nuclease (indels, HDR), CBE and ABE base editors (target conversion + bystander), and prime editor (pegRNA-templated) modes. Covers single-amplicon (CRISPResso), multi-sample batch (CRISPRessoBatch), pooled-amplicon (CRISPRessoPooled), WGS off-target (CRISPRessoWGS), and sample-comparison (CRISPRessoCompare) workflows; quantification-window math that controls what is called edited; substitution-vs-indel diagnostic to distinguish BE from Cas9 contamination; MMEJ deletion pattern interpretation; allele-frequency tables; and failure modes from amplicon misalignment or contamination. Use when quantifying editing from amplicon sequencing, choosing CRISPResso mode by design, distinguishing intended edits from bystanders and indel byproducts, debugging low-alignment runs, or generating publication-grade editing reports.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build Spring Boot 4.x applications following the best practices. Use this skill: * When developing Spring Boot applications using Spring MVC, Spring Data JPA, Spring Modulith, Spring Security * To create recommended Spring Boot package structure * To implement REST APIs, entities/repositories, service layer, modular monoliths * To use Thymeleaf view templates for building web applications * To write tests for REST APIs and Web applications * To write ArchUnit tests for testing architecture * To configure the recommended plugins and configurations to improve code quality, and testing while using Maven. * To use Spring Boot's Docker Compose support for local development * To create Taskfile for easier execution of common tasks while working with a Spring Boot application

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

🇺🇸 Your dev team ships features nobody asked for while user-reported bugs pile up for months. Operations blames engineering for ignoring users; engineering blames operations for not understanding technical constraints. This gives you the complete Product × Engineering × Operations alignment SOP — from unified backlog to 10-day sprint cadence to veto power rules. What's inside: • Dual-layer Kanban system (master backlog + sprint board with unified tagging) • 10-day sprint standard process (Day 1 dev → Day 6 testable build → Day 10 ship) • Issue template with reproducibility requirements (3x reported = auto-severe) • Tri-party alignment meetings (daily standup / sprint planning / sprint review) • Operations veto power on releases (P0 bug = block shipping) • User feedback → product iteration closed loop (beta testing + interview SOP) • Core metrics framework (acquisition → activation → retention → monetization → referral) • Technical debt management (20-30% sprint capacity reserved) • Ready-to-use templates: Bug Report, Sprint Planning, Responsibility Matrix Built from: Real product strategy meetings + beta testing frameworks. References Supabase sprint model, Manus/DeepSeek commercialization alignment. By @WeiYipei. 🇨🇳 你的研发团队在做没人要的新功能，用户反馈的 Bug 堆了三个月没人动。运营觉得研发不听用户，研发觉得运营不懂技术。这份 SOP 给你从统一看板到 10 天迭代节奏到一票否决权的完整产研运协同框架。 🇯🇵 開発チームは誰も求めていない機能を作り、ユーザーから報告されたバグは何ヶ月も放置。このSOPは、統一バックログから10日スプリント、リリース拒否権まで、プロダクト×エンジニアリング×オペレーションの完全な連携フレームワークを提供します。 🇰🇷 개발팀은 아무도 요청하지 않은 기능을 만들고, 사용자가 보고한 버그는 몇 달째 방치됩니다. 이 SOP는 통합 백로그부터 10일 스프린트, 릴리스 거부권까지 제품×개발×운영 완전 협업 프레임워크를 제공합니다. Triggers: "product ops" | "engineering operations" | "product development SOP" | "sprint planning" | "iteration management" | "cross-functional alignment" | "product engineering ops" | "dev ops collaboration" | "产研运协同" | "迭代管理" | "产品研发运营" | "プロダクト開発運営" | "제품개발운영"

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Quantifies CRISPR editing outcomes with CRISPResso2 (Clement 2019 Nat Biotechnol) across Cas9-nuclease (indels, HDR), CBE and ABE base editors (target conversion + bystander), and prime editor (pegRNA-templated) modes. Covers single-amplicon (CRISPResso), multi-sample batch (CRISPRessoBatch), pooled-amplicon (CRISPRessoPooled), WGS off-target (CRISPRessoWGS), and sample-comparison (CRISPRessoCompare) workflows; quantification-window math that controls what is called edited; substitution-vs-indel diagnostic to distinguish BE from Cas9 contamination; MMEJ deletion pattern interpretation; allele-frequency tables; and failure modes from amplicon misalignment or contamination. Use when quantifying editing from amplicon sequencing, choosing CRISPResso mode by design, distinguishing intended edits from bystanders and indel byproducts, debugging low-alignment runs, or generating publication-grade editing reports.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Summarises one sprint from the board export, sprint report and review or stand-up notes the user provides into a one-page DRAFT sprint review summary: the sprint goal as written, items delivered, items not delivered with the reasons the sources state, carry-over, impediments, metrics exactly as given, and numbered questions for the retrospective, every row referenced to a work item or note fragment and every missing fact marked UNKNOWN. Use when the user asks to "summarise the sprint", "write the sprint review", "what did we deliver this sprint", "list the carry-over and blockers" or "draft the sprint recap". Do not use for the retrospective write-up or themed lessons across several sprints, use lessons-learned-synthesis instead; for a weekly project status report, use project-status-tracker. Drafts for human review; never approves, authorises or signs off.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Quantifies CRISPR editing outcomes with CRISPResso2 (Clement 2019 Nat Biotechnol) across Cas9-nuclease (indels, HDR), CBE and ABE base editors (target conversion + bystander), and prime editor (pegRNA-templated) modes. Covers single-amplicon (CRISPResso), multi-sample batch (CRISPRessoBatch), pooled-amplicon (CRISPRessoPooled), WGS off-target (CRISPRessoWGS), and sample-comparison (CRISPRessoCompare) workflows; quantification-window math that controls what is called edited; substitution-vs-indel diagnostic to distinguish BE from Cas9 contamination; MMEJ deletion pattern interpretation; allele-frequency tables; and failure modes from amplicon misalignment or contamination. Use when quantifying editing from amplicon sequencing, choosing CRISPResso mode by design, distinguishing intended edits from bystanders and indel byproducts, debugging low-alignment runs, or generating publication-grade editing reports.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Quantifies CRISPR editing outcomes with CRISPResso2 (Clement 2019 Nat Biotechnol) across Cas9-nuclease (indels, HDR), CBE and ABE base editors (target conversion + bystander), and prime editor (pegRNA-templated) modes. Covers single-amplicon (CRISPResso), multi-sample batch (CRISPRessoBatch), pooled-amplicon (CRISPRessoPooled), WGS off-target (CRISPRessoWGS), and sample-comparison (CRISPRessoCompare) workflows; quantification-window math that controls what is called edited; substitution-vs-indel diagnostic to distinguish BE from Cas9 contamination; MMEJ deletion pattern interpretation; allele-frequency tables; and failure modes from amplicon misalignment or contamination. Use when quantifying editing from amplicon sequencing, choosing CRISPResso mode by design, distinguishing intended edits from bystanders and indel byproducts, debugging low-alignment runs, or generating publication-grade editing reports.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.