notque/vexjoy-agent

VexJoy AI Agent with Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop.

417Stars on the repository
70Mods indexed here, across every type
2d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

create-pipeline

01

notque/vexjoy-agent

Command

Create a new pipeline from a task description. Fans out agent, skill, and hook scaffolding in parallel, then integrates into the routing system.

417 2d ago A 34 tokens original MIT

do

02

notque/vexjoy-agent

Command

Smart router: classify requests and route to the correct agent + skill.

417 2d ago A 13 tokens original MIT

notque/vexjoy-agent

Command

Command "github-profile-rules" from notque/vexjoy-agent, covering github profile rules pipeline, domain, agent, skills and github-profile-rules (main orchestration).

417 2d ago A 0 tokens original MIT

notque/vexjoy-agent

Command

Run the complete 34-stage implementation workflow for a large, multi-system, multi-wave, or CPU-delegated 5 Star Booker GM program.

417 2d ago A 30 tokens original MIT

install

07

notque/vexjoy-agent

Command

Verify installation, diagnose issues, and guide first-time setup.

417 2d ago A 11 tokens original MIT

pr-review

08

notque/vexjoy-agent

Command

Comprehensive PR review using specialized agents, with automatic retro knowledge capture.

417 2d ago A 13 tokens original MIT

retro

10

notque/vexjoy-agent

Command

Learning system interface: stats, search, graduate learnings. Backed by learning.db (SQLite + FTS5).

417 2d ago A 24 tokens original MIT

system-upgrade

11

notque/vexjoy-agent

Command

Systematic upgrade pipeline for adapting agents, skills, and hooks when Claude Code ships updates, user goals change, or retro learnings accumulate.

417 2d ago A 33 tokens original MIT