agentfoundry-plugin-marketplace

Scaffold and verify Claude Agent SDK applications in Python and TypeScript

Guided 7-phase feature development workflow with specialised agents for exploration, architecture, and review

Automated PR code review with parallel agents and confidence-based scoring to filter false positives

Simplify and refactor code for clarity, consistency, and maintainability

Streamlined Git workflows — AI-generated commits, one-step commit-push-PR, and branch cleanup

Create custom hooks in natural language to block or warn on unwanted behaviours

Comprehensive PR review with 6 specialised agents — comments, tests, error handling, types, quality, and simplification

Audit and update CLAUDE.md files — keep project memory aligned with codebase and capture session learnings

Generate distinctive, production-grade frontend interfaces with high design quality

Security guidance hooks for safer coding practices

GitHub integration via MCP — repo operations, issues, pull requests, and more

Manus-style persistent markdown planning — task plans, findings, and progress files for cross-session memory

Collaborative document co-authoring skill for structured writing with Claude

Build interactive web components and self-contained HTML artefacts

Automated web application testing skill for validating functionality and catching regressions

Guide for creating effective Agent Skills — templates, best practices, and structure

Generate algorithmic and generative art through code — patterns, fractals, and creative visualisations

AI-driven UI/UX design system generator — 67 styles, 96 palettes, 57 font pairings, and 100 industry-specific reasoning rules

Software architecture specialist for system design, scalability, and technical decision-making

Build and TypeScript error resolution — fixes compilation and type errors with minimal diffs

Instinct-based learning system — observes sessions, creates confidence-scored atomic behaviours, and evolves them into skills

API design patterns and best practices — REST conventions, versioning, error handling, and documentation

Backend architecture patterns — caching, queues, middleware, and service layer conventions

Docker best practices — multi-stage builds, layer optimisation, compose patterns, and security hardening

Analyse code repositories and generate comprehensive architecture documentation with Mermaid diagrams

Pull request conventions — full commit history analysis and test plan requirements

Internationalisation guide — enforce multi-language support for frontend components with unified configuration paths