Agent-assisted maintainership and development framework for Apache projects — Triage, Mentoring, Drafting (agent-authored fixes with human review), and Pairing (developer-side dev-cycle) skills shipping; Agentic Autonomous (auto-merge) on the roadmap.
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.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Agent Skills for ABAP Developers
Architecture guardrails for AI coding agents building backend services with DDD and Hexagonal Architecture.
Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.
Governance framework for AI coding agents. It runs them through a five-step workflow (plan, build, review, test, ship) where no step counts as done without evidence. Drop-in rules and guardrails for Claude Code, Codex, Cursor, Copilot, and Antigravity, via AGENTS.md.
Build click-through, animated system architecture diagrams as a single HTML file. Drop it into a workshop, design review, or onboarding doc and let people watch the data flow instead of reading static boxes-and-arrows.
TAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML
Run a team of AI coding agents. On your machine. Local-first orchestration for Claude Code, Codex, OpenCode, Antigravity, and Copilot.
Multi-agent system for software development
Git-native memory for coding agents. Repo memory before the diff.
From text & real sources to maintainable .drawio architecture models: Diagram IR with source-kind profiles, incremental sync preserving manual layout, multi-view projection, architecture-as-test with a CI action, query/review, what-if, accessible Story Mode, and a built-in MCP server
Portable skills, agents, hooks, and Pi extensions for Claude Code, Codex CLI, Copilot, Cursor, Grok, and Pi.
AI agents can now write 99% of the code. This changes what it means to be a developer. Our role shifts to knowing "what good looks like". To do that, we need completely new developer tools. Tendril is what replaces your IDE in an agentic era.
MCP for 1C:EDT
GitHub Agentic Workflows
SmartBear's official MCP Server
Persistent Intelligence Infrastructure for AI Agents
Code-quality skills by Max Kanat-Alexander.
A suite of MCP tools for AIs to analyze and modify C# solutions with high signal, Roslyn powered context.
Minimalistic, project-agnostic skills and rules for AI coding agents
Agent Skill for Git workflow best practices - branching, commits, PR workflows | Claude Code compatible
Agent Skill: PHP 8.x modernization patterns - typing, attributes, PHPStan | Claude Code compatible