Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.
Skills for AI coding agents — Laravel, PHP, React, TypeScript, testing, security, and code quality.
Write-time code quality enforcement system for Claude Code. Every file edit triggers automated formatting and linting through fast Rust-based linters and dedicated Claude instances that intelligently fix remaining violations
An atelier for your Agent: spec-driven workflows, deep thinking, and code quality.
Pre-configured agent skills for Vibe Coded projects. These skills provide AI coding assistants (Claude Code, Cursor, etc.) with specific guidelines for code quality and design standards.
Roslyn-based MCP server giving AI agents deep semantic understanding of .NET/C# codebases — 67 tools for navigation, call graphs, diagnostics & code fixes, safe refactoring, code-quality auditing, test intelligence, DI graphs, and IL/external-assembly inspection.
OpenSpec Plus — Agentic skills that enhance OpenSpec's Spec-Driven Development through better discovery, requirements, design decisions, execution planning and execution. Works with Claude Code, OpenCode, Github Copilot and any other AI coding agents
Claude skill: refactor code to reduce cyclomatic complexity
Automated TDD enforcement for Claude Code
Automated quality checks that nudge AI coding agents toward better habits
SOLID principles and design patterns for backend code — applied with restraint. Skill for Claude Code, OpenCode, GitHub Copilot, and OpenAI Codex.
Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.
Agent Skill for code and test smell audits. Evidence-ranked findings from Refactoring, Clean Code, and the test-smell literature. Formerly pragmatic-code-review.
humanizer, but for code — an agent skill that removes AI-generated code slop: duplicated helpers, try-import fallbacks, broad excepts, speculative abstractions. Test-gated, behavior-preserving.
A collection of 265 rules across 26 categories that AI coding agents can use to write idiomatic, fast, and safe Rust.
Turns AI agents from chaotic code generators into disciplined engineers. 12-stage workflow from research to production.
Development workflows for Claude Code that keep broad exploration focused on the outcome you approved.
Self-evolving SDLC enforcement for AI coding agents — hooks, skills, and one-command setup for Claude Code. Plan before coding, test before shipping, escalate when uncertain. Measures itself getting better over time.
Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
MCP server that orchestrates language servers into agent-native workflows. 65 tools, 30 CI-verified languages.
Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs
An old coder's strategy for the agent era: don't read the code — make it run the gauntlet. Evidence-first development skill for coding agents, inspired by Uncle Bob.
Claude Code plugin & Agent Skills for AI-native development: codebase readiness scoring (/assess), Six Thinking Hats deliberation (/huddle), AI-slop removal (/deslop), skill hardening (/skill-forge), and more.
Find and repair substance defects in AI-assisted prose, code, docs, and agent output. Reports defects, never authorship. Structural tests over model judgement, because LLM judges agree with human slop labels at chance.