mattwynne/yaks

Shared Discovery Trees in the CLI for teams of humans and robots

56Stars on the repository
24Mods indexed here, across every type
21d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

deep-review-claude

01

mattwynne/yaks

Agent

Independent deep technical review using Anthropic Claude model.

56 +2 21d ago A 15 tokens original MIT

deep-review-codex

02

mattwynne/yaks

Agent

Independent deep technical review using OpenAI Codex model.

56 +2 21d ago A 16 tokens copy · 86% MIT

deep-review-gemini

03

mattwynne/yaks

Agent

Independent deep technical review using Google Gemini model.

56 +2 21d ago A 14 tokens copy · 91% MIT

planner

04

mattwynne/yaks

Agent

Creates implementation plans from context and requirements.

56 +2 21d ago A 9 tokens copy · 100% MIT

reviewer

05

mattwynne/yaks

Agent

Code review specialist for quality and security analysis.

56 +2 21d ago A 11 tokens copy · 100% MIT

scout

06

mattwynne/yaks

Agent

Fast codebase recon that returns compressed context for handoff to other agents.

56 +2 21d ago A 17 tokens copy · 100% MIT

worker

07

mattwynne/yaks

Agent

General-purpose subagent with full capabilities, isolated context.

56 +2 21d ago A 12 tokens original MIT