Senior-developer discipline for AI coding agents. A commit gate that counts unchecked as failing, quality controllers that refuse to call unfinished work done, and a lessons loop that closes each escaped bug's class. One Go binary, no runtime deps, works with 20+ agents.

A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.

Persistent memory for AI coding agents, powered by iii-engine's three primitives

Reusable project context and specialist workflows for the AI tools you already use. AIWG places agents, skills, commands, and rules in provider-readable locations, with optional utilities for artifact memory, workflow orchestration, recovery, and discover

A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent

Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.

"Work appears completed or recorded. Run /compact to save tokens."

The agentic workspace where people and agents work together in the loop.

AAS Core: complete local skill discovery, agent-owned selection, stack validation, and planning, backed by 2,610+ agentic skills.

Manage your Hevy workouts, routines, folders, and exercise templates. Create and update sessions faster, organize plans, and search exercises to build workouts quickly. Stay synced with changes so your training log is always up to date.

Curated agent skills for CesiumJS development.

Collection of resources to help AI agents build better with Sanity.

ISO 24495 Plain Language skills and plugin

AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.

C#/.NET Binding for FoundationDB Client API

Content-aware output compression for AI coding assistants. 36 specialized processors cut CLI output tokens by 60-99% (git, pytest, npm, terraform, kubectl, docker, and more) without losing errors, diffs, or stack traces.

Workflow control for AI coding agents

When you can't trust yourself with your code base, trust Arbiter.

Opinionated AI coding agent and dev environment automation for macOS

An autonomous software factory that knows what it is supposed to deliver, and proves it did.

AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.

Static analysis for AI agent configs, tool descriptions, and system prompts — catches vague tool descriptions, missing stop conditions, and schema gaps before they reach runtime. Zero-LLM, deterministic checks, built for CI.

MaverickMCP - Personal Stock Analysis MCP Server

The practices that made software work didn't stop working. They stopped keeping up. PAAD brings them back at AI speed.