AI-powered development workflow with planning, implementation, and review commands
Review code changes via agent with isolated context and Opus model
Review code changes from current HEAD to main/HEAD following review standards
Create a git commit with meaningful commit messages following project standards
Orchestrate the complete implementation workflow from a GitHub issue with an implementation plan to a fully implemented feature.
**IMPORTANT**: Keep a correct mindset when this command is invoked.
This directory contains specialized agents for the agentize plugin.
Research SOTA solutions and propose innovative, bold approaches for implementation planning
Comprehensive code review with enhanced quality standards using Opus for long context analysis
Research SOTA solutions and propose innovative approaches with code diff drafts
Reduce total code footprint - allows large changes but limits unreasonable code growth
Commit the staged changes to git with meaningful messages.
How to debug a codebase when a test case fails to pass. If you cannot figure it out, how to report the bug through a Github Issue.
Generate comprehensive documentation checklist for feature implementation
Instructs AI agents on documentation standards for design docs, folder READMEs, source code interfaces, and test cases
Synthesize consensus implementation plan from multi-agent debate reports using external AI review
Matches all tools
Hooks run on every tool call, not just specific ones
Executes bash commands
Hook triggers when Bash tool is used
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimnpx claudepluginhub entropy-xcy/agentize --plugin agentizeBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Modifies files
Hook triggers on file write and edit operations
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
gh) - Required for GitHub integration features
gh auth login/setup-viewboard, /open-issue, /open-pr, GitHub workflow automationyes to prompt!
venv or anaconda to manage a good Python release!pip install pyyaml) for YAML configuration parsingpip install anthropicAfter installing prerequisites, the installer will automatically verify git, make, and bash availability. GitHub CLI authentication can be verified with:
gh auth status
Agentize is an AI-powered SDK that helps you build your software projects using Claude Code powerfully. It is splitted into two main components:
claude CLI is available.
See Tutorial 00a: Claude UI Setup for details.curl -fsSL https://raw.githubusercontent.com/SyntheSys-Lab/agentize/main/scripts/install | bash
Then add to your shell RC file (~/.bashrc, ~/.zshrc, etc.):
source $HOME/.agentize/setup.sh
See docs/feat/cli/install.md for installation options and troubleshooting.
Upgrade: Run lol upgrade to pull the latest changes.
After installation, the installer creates ~/.agentize.local.yaml in your home folder. This file controls which AI backends are used for planning and implementation.
Configure (already done) - confirm ~/.agentize.local.yaml exists and adjust backends if needed
Clone with worktrees:
wt clone https://github.com/org/repo.git myproject.git
wt clone sets up a bare repository and leaves you in trees/main.
Plan your first feature:
lol plan --editor
Review the GitHub issue it creates.
Implement the plan:
lol impl <issue-number>
Navigate between worktrees:
wt goto <issue-number>
wt goto main
See Tutorial 00: CLI Quickstart for a full walkthrough.
If you encounter any issue during the usage. For example:
Enable debug mode in your .agentize.local.yaml:
handsoff:
debug: true
Then re-run the command. This will give you a detailed log in either
/path/to/your/project/.tmp/handsoff-debug.log or$HOME/.agentize/.tmp/handsoff-debug.log
Paste your logs on issue for me (@were) to debug!For further help, please visit our troubleshooting guide.
Minimizing human intervention by artifact centric.
Multi-agent development workflow (/crew) — planning, implementation, review, documentation, evals, and audit gates. Commands, agents, and skills are auto-discovered from the repo.
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
PRD-driven AI dev team control plane for Claude Code — agents, skills, and a GitHub-first sprint workflow.
Use Claude Code As Is - native plugin leveraging built-in architecture
GSD Core is a meta-prompting, context engineering, and spec-driven development system for AI coding agents.
AI-Driven Engineering workflow commands for managing issues, tasks, implementation, and PRs.