By gagandeepp
PostgreSQL engine module for the database coding agent — PL/pgSQL, EF Core/Npgsql, SQLAlchemy, Alembic, Flyway, sql-language-server LSP
Use when writing or reviewing PostgreSQL PL/pgSQL code — enforces snake_case naming, function/trigger patterns, JSONB operations, partitioning, RLS policies, and PostgreSQL-specific type usage
Use when implementing PostgreSQL database code with frameworks — enforces patterns for EF Core/Npgsql (JSONB, enums, identity), SQLAlchemy/Alembic (models, revisions), Flyway, and Dapper with Npgsql
Use when scaffolding or reviewing PostgreSQL project layout — migration folder conventions, schema separation, extension management, seed data organization, and pgTAP test layout
Use when writing tests for PostgreSQL database code — pgTAP for in-database tests, pytest with psycopg for integration tests, EF Core integration tests, and test database lifecycle management
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npx claudepluginhub gagandeepp/software-agent-teams --plugin db-postgresNode.js/TypeScript language module for the backend coding agent — NestJS/Express/Fastify, Jest, typescript-language-server LSP
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Snyk Code (SAST), Open Source (SCA), IaC, and Container remediation skills for the security-coding-agent
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Go language module for the backend coding agent — Gin/Echo/Chi, testify, gopls LSP
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
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.
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.
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.