A Claude Code skill that audits AI-generated frontend and rewrites it to remove generic AI-slop design patterns (purple gradients, Inter, default shadcn). The design counterpart to avoid-ai-writing.

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

Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.

Agent Skills for traceable requirements, independent verification, human approval gates, and auditable AI-assisted engineering. Supports Claude Code, Cursor, VS Code, and GitHub Copilot; ISO 9001/27001 aligned (design phase), GxP-aware.

Cross-language-safe code-intelligence MCP for AI agents -- 13 languages, family-gated call graph (CodeGraph 745 vs TSA 6 cross-language mis-wires, v1.21.0 same-session -- ~124x by count, ~390x by rate; re-verifying vs current develop). Run miswire-audit on your repo. 8 facade tools, TOON output, 100% local. Python.

Skills to transform AI Agents into GitOps Engineers

Minimal Postgres editor for speed, collaboration, and AI

Protocol-layer harness for DeepSeek: Python witness stack — posterior verification that keeps the protocol honest. dsh doctor --node probes included.