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CodyMaster

"I can't write code. But in 6 months, I shipped 12 real products using AI. CodyMaster is everything I learned — so you don't have to repeat my mistakes." — Tody Le, Head of Product, Creator of CodyMaster

50+ skills. One install. Your AI coding agent becomes a full team.

v7.0.2 — Browse Hybrid Bridge: AI-native browser automation with a11y snapshots, error collection, video recording.

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       Meet Cody 🐹

The Problem

You installed an AI coding agent. It writes code fast. But then:

• It designs differently every time — your brand looks like 3 different companies
• It fixes one thing, breaks five others — you redo the same work over and over
• It forgets everything between sessions — you re-explain your project every morning
• It writes zero tests, zero docs — your codebase becomes a ticking time bomb
• You install 15 skills — none of them talk to each other

"AI gave me 100 hands. Without discipline, those hands created chaos."

The Solution: A Full Senior Team in One Install

CodyMaster isn't a collection of random skills. It's an operating system for your AI agent — 50+ skills that work together like a real team.

When you install CodyMaster, you hire:

Quick Start — 30 Seconds

Step 1: Install

npm install -g codymaster && cm

A wizard detects your AI tools (Claude Code, Cursor, Gemini, etc.) and installs skills to all of them.

Step 2: Start coding

Open your AI agent and say what you want:

Build a landing page for my coffee shop

Step 3: Watch it work

CodyMaster automatically chains the right skills: cm-brainstorm-idea → cm-design-system → cm-execution → cm-safe-deploy

That's it. No config files. No setup ritual. Just describe what you want.

Disciplined Delivery by Default

CodyMaster now carries one execution contract from planning through verification:

• Rich plans name exact task files and keep every step inside that task scope; TDD work must record RED before GREEN.
• One approved plan grants scoped execution authorization, so in-scope work continues without repeated confirmation loops.
• Mode B uses three distinct sessions per task: a fresh implementer, a spec reviewer, and then a quality reviewer.
• The shared autonomy policy is validated and synchronized across all 14 supported platform distributions.
• cm bench --suite workflow-integration --runs 1 runs from any project directory, including an installed npm package, and writes results locally.

See It Work

Here's a real conversation — a non-technical founder building a booking site:

You:    I want to build a booking website for my spa business.
        I have an old website at myspa.com but it looks terrible.

AI:     [cm-brainstorm-idea] Let me analyze your current site first...
        I found 3 key issues: no mobile booking, unclear pricing,
        slow load time. Here are 2 approaches:
        A) Redesign from scratch (recommended — your brand needs it)
        B) Fix the existing site
        
You:    Let's go with A.

AI:     [cm-design-system] I'm extracting your brand colors from
        myspa.com... Found: gold + navy. Building a design system.
        [cm-planning] Here's the plan: booking page, services page,
        about page, contact. Estimated: 30 minutes of AI work.
        
You:    Sounds good, do it.

AI:     [cm-tdd] Writing tests first...
        [cm-execution] Building 4 pages...
        [cm-dockit] Generating service descriptions and FAQ docs...
        [cm-quality-gate] All tests pass. Performance: 98/100.
        [cm-safe-deploy] Deploying to staging...
        
        ✅ Done. Preview: https://staging-myspa.pages.dev
        
You:    The booking button is too small on mobile.

AI:     [cm-debugging] Found it — padding was 8px, should be 16px.
        [cm-code-review] Fix looks good. No side effects.
        [cm-safe-deploy] Deployed fix.
        
        ✅ Fixed. Try now.

No code written by the human. No bugs introduced by the AI. The system caught the mobile issue before it reached production.

What Makes This Different

Built For Builders, Not Coders

CodyMaster was built for people who have ideas, not CS degrees.

You're a good fit if you:

• Want to type a message and get a working product back
• Want your AI to learn from its mistakes
• Don't want to manually review every line of AI output
• Want to deploy with confidence, not prayer

You're NOT a good fit if you:

• Enjoy doing the same setup for every project
• Prefer slow, manual deploys with no safety net
• Like re-explaining your codebase every morning

The 10-Second Tour

Instead of listing 50+ skills, here's what CodyMaster does in plain language:

💡 Before You Build

• Thinks before coding — asks questions, challenges your assumptions, saves you from building the wrong thing
• Plans the architecture — diagrams, data flow, edge cases — all before writing code

🎨 While Building

• Enforces your design system — consistent colors, fonts, spacing across every page
• Writes tests first — catches bugs before they exist
• Debugs systematically — traces the root cause, doesn't guess

🚀 Before Shipping

• Scans for secrets — no API keys leaking to GitHub
• Checks the right account — no accidental deploys to the wrong Cloudflare
• Runs quality gates — no deploy without passing tests + performance checks

📈 After Shipping

• Generates documentation — reads your code, writes the docs
• Learns from feedback — gets smarter with every project
• Runs retrospectives — captures what worked, what didn't, improves the process

📖 Full skill reference →

The Design Pipeline

CodyMaster treats design as a first-class discipline — not an afterthought. Your AI doesn't just write code; it enforces visual consistency across every page.

Three ways to get a design system:

Extract → Tokens → Validate → Build → QA
   │          │         │          │       │
   │          │         │          │       └─ cm-quality-gate
   │          │         │          └─ cm-execution
   │          │         └─ cm-ux-master (48 UX laws)
   │          └─ cm-design-system (STITCH_TOKENS)
   └─ cm-open-design (129 systems + extraction)

📖 Full design pipeline guide →

Real-World Scenarios

Install

One command

npm install -g codymaster && cm

What the wizard does

1. Detects every AI tool you have (Claude Code, Cursor, Gemini CLI, Codex, OpenCode, Windsurf, Cline, Aider, Continue, Kiro, Amazon Q, Amp, Copilot, Claude Desktop)
2. Asks which ones you want skills for (pre-checked for detected tools)
3. Installs to each platform's native location
4. Done — open your AI agent and start building

After install

cm doctor          # Check what's installed
cm status          # See your tasks and progress
cm dashboard       # Open the visual dashboard

For OpenCode users

OpenCode supports both skills and plugins:

git clone https://github.com/tody-agent/codymaster.git ~/.cody-master

# Skills (auto-load)
ln -s ~/.cody-master/.opencode/skills ~/.opencode/skills

# Plugins (optional — adds custom tools)
mkdir -p ~/.opencode/plugins
ln -s ~/.cody-master/.opencode/plugins/cm-brainstorm-idea.ts ~/.opencode/plugins/

Restart OpenCode to activate. The cm-brainstorm-idea plugin adds a strategic analysis tool with auto-detection for brainstorm keywords.

📖 Full OpenCode installation guide →

For Codex users

Fastest path:

git clone https://github.com/tody-agent/codymaster.git ~/.cody-master
cd ~/.cody-master
npm ci
npm run build:platforms

Then tell Codex:

Fetch and follow instructions from https://raw.githubusercontent.com/tody-agent/codymaster/main/.codex/INSTALL.md

Or use the local Codex skill tree directly at .codex/skills/.

No Node.js?

bash <(curl -fsSL https://raw.githubusercontent.com/tody-agent/codymaster/main/install.sh) --all --profile core

What's in the package

• 50+ skills — ready-to-use SKILL.md files for every major AI coding agent
• CLI (cm) — install wizard, doctor, dashboard, MCP server, browse daemon
• Skill profiles — curated bundles: core, growth, full, knowledge
• Multi-platform — installs to Claude Code, Cursor, Gemini, Codex, OpenCode, Windsurf, Cline, Aider, Continue, Kiro, Amazon Q, Amp, Copilot, Claude Desktop
• Zero config — detects your tools, installs skills, you're done

The Dashboard

Visual mission control for your projects: