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bitsoex AI Skills

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Browse published AI skills maintained by bitsoex. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

31

Repository stars across indexed skills

1,085

Repository forks

930

Average repository stars per indexed skill

35

Repository stars may repeat across skills from the same repository.

31 skills

Browse skills

GitHub

distributed-locking

bitsoex

RFC-44 compliant distributed locking patterns for Java services. Covers PostgreSQL advisory locks and Redis-based locking, migration workflows, and common patterns. Use when implementing or migrating distribute...

GitHub

jira-workflow

bitsoex

Jira ticket creation and management for AI agent commands, with severity-based processing and proper integration

GitHub

java-testing

bitsoex

Java testing guidelines using Spock Framework and Groovy. Covers test structure, mocking patterns, persistence testing with Testcontainers, gRPC testing, and Spring Boot test configurations. Use when writing or...

GitHub

git-hooks

bitsoex

Set up, validate, and maintain Git hooks (pre-commit, pre-push, etc.) following best practices. Ensures hooks are version-controlled, automatically installed, and follow consistent patterns across the team. Use...

GitHub

atlas-documentation

bitsoex

AI-friendly documentation generation for Java services following RFC-37 standards. Covers documentation structure, templates, change detection, and RAG optimization. Use when generating or updating service docu...

GitHub

mcp-configuration

bitsoex

MCP (Model Context Protocol) server configurations for various IDEs including setup, troubleshooting, and discovery management

GitHub

database-integration

bitsoex

Database integration patterns for Java services using jOOQ and Flyway. Covers code generation, read/write splitting, migration guidelines, and version compatibility. Use when setting up or maintaining PostgreSQ...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.