65 specialized agents that act on your intent
Six booleans are now the sole Playwright gate — replaces testIntensity, storyAssessment, rigorProfile, and E2E deferral.
Stale verification contracts no longer carry over between tasks — state resets at every task boundary.
New skill diagnoses OAuth redirect_uri mismatches across any provider and app type — desktop and web.
Single activeWork object replaces separate PRD and ad-hoc state — stories, decisions, and resume all in one place.
Traditional AI assistants respond once and stop. An agentic AI is different—it takes action. It reads files, runs commands, browses the web, and iterates until the work is done.
This toolkit includes 65 specialized agents. Some write code. Some review it. Some run tests or deploy infrastructure. Primary agents call on specialists as needed—expert help, orchestrated automatically.
A team of focused collaborators. Your ideas, realized.
These are the entry points to the system. Start a conversation with any of them, and they'll orchestrate specialists as needed.
Builds features from PRDs or ad-hoc requests by orchestrating implementation agents
Refine draft PRDs and prepare them for implementation
Maintains the AI toolkit - agents, skills, templates, and scaffolds
Autonomous E2E test auditor that analyzes apps and generates comprehensive test coverage
You guide the direction. Agents handle the execution.
Work with @planner to refine requirements. You decide what gets built and how.
@builder implements your PRD. You verify, steer corrections, and approve commits.
Improve agents over time via @toolkit. You approve changes that ripple across projects.
The Process
From idea to shipped feature — and back again. Every feature follows this cycle.
Bugs feed back into the loop
Discovered issues can be tracked as new PRDs
Swipe to explore
65 Agents
When primary agents need focused expertise, specialists step in automatically.
29
Review code for correctness, security, style, and best practices.
16
Implement features across different languages and frameworks.
9
Write and run unit tests, integration tests, and E2E tests.
3
Coordinate other agents and manage workflows.
8
Debugging, docs, cleanup, and specialized tools.
73 Skills
Skills are specialized instruction sets for complex, multi-step work. Agents load them on-demand—situational expertise, not always-on overhead.
adhoc-workflow
Ad-hoc mode workflow for Builder
agent-audit
Audit AI toolkit agents for compliance and coverage gaps
agent-onboard
Onboard new or modified agents to ensure they are project-context aware and follow toolkit conventions
auth-config-check
Check authentication configuration before E2E tests
auth-generic
Generic/custom authentication implementation for any provider
auth-headless
Headless authentication using API calls and session injection
auth-nextauth-credentials
NextAuth credentials (email/password) authentication for AI agents
auth-supabase-otp
Supabase passwordless OTP authentication for AI agents
Three steps. Then you're building.
A terminal-based AI coding tool. One command to install.
curl -fsSL https://opencode.ai/install.sh | bashLaunch opencode and run /connect to link your AI provider (GitHub Copilot, Anthropic, OpenAI, etc.).
Add the agents, skills, and project templates.
curl -fsSL https://raw.githubusercontent.com/mdmagnuson-creator/yo-go/main/install.sh | bash