By bastion-core
Python backend development agents and skills with Clean Architecture, FastAPI, and Celery
Backend Python Development Agent specializing in Clean Architecture and Hexagonal Architecture for scalable and maintainable backend systems.
QA specialist for Python backend testing, focused on unit tests, integration tests, and chaos engineering to ensure >90% code coverage.
Specialized code reviewer for Apache Airflow DAGs in Python, focusing on pipeline integrity, Airflow best practices, and data transformation quality.
Comprehensive code reviewer for Python backend PRs, combining architecture analysis, code quality validation, and testing coverage assessment to ensure production-ready code.
Comprehensive code reviewer for Python library projects, combining architecture analysis, code quality validation, and testing coverage assessment to ensure production-ready reusable libraries.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub bastion-core/agents --plugin python-developmentLanguage-agnostic agents for software architecture analysis (feature.yaml to technical.yaml pipeline), system design, and product specification
Next.js frontend development agents for building and reviewing apps with Two-layer Architecture, Zustand stores, DataAccess pattern, and Either monad error handling
Flutter and Dart development agents for mobile app development and code review with Clean Architecture, BLoC+Freezed, and Result<T> error handling
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Complete developer toolkit for Claude Code
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams