Claude Code skill: Software design philosophy guide based on A Philosophy of Software Design by John Ousterhout

Cross-platform UI/UX design reviewer based on Apple HIG. Works with Flutter, Tauri, Electron, React Native. Compatible with Claude Code, Cursor, Codex.

Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.

The design layer for agentic AI — design context, interface checks, and verification for coding agents.

Portable SKILLs workspace for Claude Code, Codex, and Gemini — issue-driven workflows and cross-agent collaboration via bridge scripts with session continuity.

A skill for coding agents that build, review, and refactor Web UI that should be easier for humans, screen readers, browser automation, Playwright tests, and AI agents to understand and operate.

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

Lint rules for your AI agent's discipline, not its code

Multi-repo semantic code search MCP server in Rust — hybrid vector + BM25 retrieval, tree-sitter AST chunking, fully offline. For OpenCode, Claude Code, Cursor, and any MCP client.

The IM for agents. Shared Agent Context & Memory, supervised execution, and cross-agent audit across AI providers.

An MCP server for Azure DevOps

Iterative development methodology plugin for Claude Code — extracts requirements, defines walking skeleton, loops through audited sprints autonomously

Delegate tasks to Codex and Gemini directly from within Claude Code.

Spec-driven development workflow for AI coding agents: architecture-first planning, task decomposition, GitHub Issue/PR tracking, Deep Discuss, and adaptive control for Claude Code, Codex, Cursor, and other Markdown-capable agents.

Reusable agent skills for end-to-end software delivery, from requirements and implementation to review, testing, and release.

Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

Architecture Deep Research: deep research for strategic system design decisions.

Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients

Run a team of AI coding agents. On your machine. Local-first orchestration for Claude Code, Codex, OpenCode, Antigravity, and Copilot.

Save 40%+ on agent token costs with code graphs: call graphs, dependency graphs, dead code detection, and blast radius analysis.

Delegate a coding task to a separate coding agent CLI, review the diff, land the commit yourself — one per implementer.

The control plane for AI coding agents.

Multi-harness control protocol that turns requests into approved design contracts, orchestrating isolated worker sessions for sequential implementation and independent code reviews under Orca supervision for Claude Code, Codex, Cursor, Antigravity, and other AI coding agents.

Ask Codex, Gemini, Grok, and 400+ OpenRouter models (Qwen, Kimi, DeepSeek) for second opinions or arbiter-mediated consensus. One MCP server for Claude Code, Codex, Cursor, Kiro, OpenCode. Measures which models earn their seat.