requesting-code-review
Dispatch code review subagents with focused context to catch issues before they compound.
create-spring-boot-kotlin-project
Generate a Spring Boot Kotlin project skeleton with pre-configured databases and development services.
Full skill instructions
Please make sure you have the following software installed on your system:
If you need to custom the project name, please change the artifactId and the packageName in download-spring-boot-project-template
If you need to update the Spring Boot version, please change the bootVersion in download-spring-boot-project-template
java -version
curl https://start.spring.io/starter.zip \
-d artifactId=${input:projectName:demo-kotlin} \
-d bootVersion=3.4.5 \
-d dependencies=configuration-processor,webflux,data-r2dbc,postgresql,data-redis-reactive,data-mongodb-reactive,validation,cache,testcontainers \
-d javaVersion=21 \
-d language=kotlin \
-d packageName=com.example \
-d packaging=jar \
-d type=gradle-project-kotlin \
-o starter.zip
unzip starter.zip -d ./${input:projectName:demo-kotlin}
rm -f starter.zip
unzip starter.zip -d ./${input:projectName:demo-kotlin}
springdoc-openapi-starter-webmvc-ui and archunit-junit5 dependency into build.gradle.kts filedependencies {
implementation("org.springdoc:springdoc-openapi-starter-webflux-ui:2.8.6")
testImplementation("com.tngtech.archunit:archunit-junit5:1.2.1")
}
application.properties file# SpringDoc configurations
springdoc.swagger-ui.doc-expansion=none
springdoc.swagger-ui.operations-sorter=alpha
springdoc.swagger-ui.tags-sorter=alpha
application.properties file# Redis configurations
spring.data.redis.host=localhost
spring.data.redis.port=6379
spring.data.redis.password=rootroot
application.properties file# R2DBC configurations
spring.r2dbc.url=r2dbc:postgresql://localhost:5432/postgres
spring.r2dbc.username=postgres
spring.r2dbc.password=rootroot
spring.sql.init.mode=always
spring.sql.init.platform=postgres
spring.sql.init.continue-on-error=true
application.properties file# MongoDB configurations
spring.data.mongodb.host=localhost
spring.data.mongodb.port=27017
spring.data.mongodb.authentication-database=admin
spring.data.mongodb.username=root
spring.data.mongodb.password=rootroot
spring.data.mongodb.database=test
Create docker-compose.yaml at project root and add following services: redis:6, postgresql:17 and mongo:8.
rootroot./redis_data to /datarootroot./postgres_data to /var/lib/postgresql/datarootrootroot./mongo_data to /data/dbInsert redis_data, postgres_data and mongo_data directories in .gitignore file
Run gradle clean test command to check if the project is working
./gradlew clean test
docker-compose up -d to start the services, ./gradlew spring-boot:run to run the Spring Boot project, docker-compose rm -sf to stop the services.Let's do this step by step.
Dispatch code review subagents with focused context to catch issues before they compound.
Evaluate code review feedback with technical rigor before implementing, avoiding performative agreement and blind implementation.
Isolated git worktrees with smart directory selection and safety verification.
Structured workflow for completing development branches with test verification and merge/PR options.
review
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
Standardized git commits using Conventional Commits specification with intelligent diff analysis and message generation.
Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.
Code review focused exclusively on over-engineering. Finds what to delete: reinvented standard library, unneeded dependencies, speculative abstractions, dead flexibility. One line per finding: location, what to cut, what replaces it. Complements correctness-focused review, this one only hunts complexity.
Generate Excalidraw diagrams from natural language descriptions in multiple formats.
Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. One-shot report, does not apply fixes.
Systematic code review practices for constructive feedback, bug detection, and team knowledge sharing.
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