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Open Source — v7.2.1
GitHub stars npm downloads License

One-line prompts.
Shipped products.

14 skill categories. 18 agents. 94 reference docs.
The autonomous product-building OS for 32+ AI coding tools.

claude-skills
$
14 Skill Categories
18 Agents
94 Reference Docs
32 Platforms
claude plugin install megabytespace/claude-skills
Works with
Claude Code Cursor Copilot Codex CLI Windsurf Gemini CLI Kiro +25 more

How It Works

From idea to deployed product in three steps.

Claude Skills turns a single natural language prompt into a deployed, tested product. The system handles architecture, code generation, testing across 6 breakpoints, deployment to Cloudflare Workers, and visual verification — all without human intervention.

01

Install

claude plugin install megabytespace/claude-skills

Drop into Claude Code, Cursor, Copilot, or any of 32 supported tools.

02

Prompt

"Build a SaaS at projectsites.dev"

One line. The system infers product type, stack, and architecture automatically.

03

Ship

✓ Deployed to Cloudflare Workers

Architect → build → test → deploy → verify. Fully autonomous. Zero hand-holding.

14 Skill Categories

Each category contains specialized submodules and reference docs. The router loads the smallest useful subset for every prompt.

The 14 skill categories cover the full product lifecycle: from goal definition and architecture planning through build, test, deploy, brand, design, motion, media, and growth optimization. Each category contains specialized submodules with 94 reference docs total, loaded on-demand to minimize context window usage.

01

Operating System

Supreme policy layer. Autonomy, speed standards, cross-skill coordination, conflict resolution.

6 reference docs
02

Goal & Brief

Project thesis before code. Product type inference, user identification, business model.

Core skill
03

Planning & Research

Deep web research, competitor scanning, tech evaluation, vertical slice decomposition.

1 reference doc
04

Preference & Memory

User preferences with confidence levels. Voice of the Customer model, auto memory system.

3 reference docs
05

Architecture & Stack

Cloudflare-first platform selection. Workers, D1, R2, KV, Durable Objects, Queues, Vectorize.

11 reference docs
06

Build & Slice Loop

Vertical slices, homepage-first. Anti-placeholder rules — real content, real interactions.

23 reference docs
07

Quality & Verification

5-level verification pyramid. Playwright E2E, AI visual QA, agentic security testing.

24 reference docs
08

Deploy & Runtime

Deploy after every change. Typecheck → deploy → purge → E2E → visual verify → fix-forward.

9 reference docs
09

Brand & Content

Copy system, headline rules, trust surfaces, SEO, structured data, anti-AI-slop filters.

4 reference docs
10

Experience & Design

Anti-AI-slop design system. Dark-first, bold typography, cascade layers, container queries.

1 reference doc
11

Motion & Interaction

Meaning-first animation. Scroll-driven, View Transitions API, prefers-reduced-motion mandatory.

Core skill
12

Media Orchestration

Image generation, logo/icon sets, video, social previews, OG images, compression pipelines.

5 reference docs
13

Observability & Growth

PostHog analytics, GA4 via GTM, Sentry, Stripe billing, feature flags, conversion optimization.

7 reference docs
14

Idea Engine

Autonomous internal co-founder. Evidence-backed improvements, self-critique filter, auto-implement.

Core skill

18 Specialized Agents

Each agent has a defined model, permission mode, and skill set. The orchestrator spawns them in parallel.

Claude Skills uses 18 specialized agents — each assigned to an optimal model tier (Opus for architecture/security, Sonnet for implementation/testing, Haiku for content/linting). The meta-orchestrator spawns agents in parallel, coordinating architect, test-writer, and deploy-verifier simultaneously to ship faster.

🏗️

Architect

Opus

Analyzes project structure, generates repo maps, designs task graphs, identifies architectural seams.

🧹

Code Simplifier

Sonnet

Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality.

Completeness Checker

Opus

Verifies nothing was missed. Feature Completeness Engine, Zero Recommendations Gate, visual verification.

🚀

Deploy Verifier

Sonnet

Post-deploy smoke tests. Checks console errors, screenshots 6 breakpoints, runs axe-core, validates SEO.

🔒

Security Reviewer

Opus

OWASP Top 10, secrets exposure, injection flaws, auth bypasses, CSP issues. Read-only — never modifies code.

🧪

Test Writer

Sonnet

TDD-first. Writes failing Playwright tests that emulate real users before implementation. Vitest for units.

🔍

SEO Auditor

Haiku

Title, meta, H1, JSON-LD, OG tags, internal links, sitemap, robots.txt. Playwright-powered live audits.

👁️

Visual QA

Opus

Screenshots at all breakpoints. AI vision detects layout breaks, misalignment, text overflow, broken images.

🖥️

Computer Use

Opus

Desktop automation via Computer Use MCP. Finder, System Settings, native apps, cross-app workflows.

📦

Dependency Auditor

Sonnet

Scans for outdated deps, security advisories, license violations, unused imports. Prioritized upgrade reports.

🧠

Meta Orchestrator

Opus

Master agent. Knows every tool, MCP, and skill. Plans multi-system workflows, chains MCPs, spawns agents.

🗄️

Migration Agent

Sonnet

Drizzle schema migrations. Generates from diffs, validates against D1, tests rollbacks, zero-downtime.

✍️

Content Writer

Haiku

Marketing copy, blog posts, SEO content. Brand voice, Flesch≥60, active voice, zero AI slop.

Performance Profiler

Sonnet

Lighthouse audits, Core Web Vitals analysis. Targets LCP≤2.5s, CLS≤0.1, INP≤200ms with specific fixes.

🚨

Incident Responder

Sonnet

Sentry-triggered. Reads error events, traces to source, proposes fixes, creates branches, opens PRs.

Accessibility Auditor

Haiku

axe-core + Playwright. WCAG 2.2 AA audits, reports violations with fix suggestions, verifies remediation.

💰

Cost Estimator

Haiku

Estimates Cloudflare Workers costs. Reads wrangler.toml, counts D1 tables, calculates monthly cost.

📋

Changelog Generator

Haiku

Auto-generates from conventional commits. Parses git log, groups by type, writes user-outcome-focused entries.

Built for the Modern Stack

Opinionated defaults, escape hatches when you need them.

Runtime
Cloudflare Workers Hono Bun
Frontend
Angular 21 Ionic PrimeNG
Data
D1 / Neon Drizzle ORM Zod
Auth & Billing
Clerk Stripe Turnstile
Infra
Inngest Resend Upstash
Quality
Playwright Vitest ESLint
Observability
PostHog Sentry GA4

32 Platform Variants

One skill system. Every AI coding tool. Auto-generated convention files for each platform's format.

Modern Formats

Cursor (MDC) Windsurf Augment Copilot Instructions OpenHands JetBrains AI Kiro (AWS) Void Editor

Legacy Single-File

.cursorrules .windsurfrules .clinerules .rules .augment-guidelines .aider-conventions.md copilot-instructions.md

Named Formats

AGENTS.md GEMINI.md AMP.md CODEX.md QODO.MD replit.md

Directory Formats

Amazon Q Junie Trae Tabnine Kilo Roo Code Continue Codex Skills Bolt.new Devin Goose

Get Started

Pick your tool. Drop in the skills. Start shipping.

GitHub Skills

gh skill install megabytespace/claude-skills

Claude Code Plugin

claude plugin install megabytespace/claude-skills

npm

npm i @megabytespace/claude-skills

JSR

jsr add @megabytespace/claude-skills

OpenAI Codex

git clone https://github.com/megabytespace/claude-skills \
  ~/.codex/skills/claude-skills

Manual (any tool)

git clone https://github.com/megabytespace/claude-skills
# Copy the convention file for your tool

Before & After

What changes when you add 14 years of engineering judgment to your AI.

Without skills, AI coding tools produce generic boilerplate with no tests, no deploy pipeline, and placeholder content. With Claude Skills, the same prompt produces a Cloudflare-deployed product with Playwright E2E tests across 6 breakpoints, Lighthouse 95+ accessibility, real content, and zero manual fixups.

Without Skills

$ claude "Build a SaaS"
→ Generic React boilerplate
→ No tests, no deploy pipeline
→ Placeholder copy, gray boxes
→ No SEO, no a11y, no security
→ Manual wiring. Hours of fixups.

With Claude Skills

$ claude "Build a SaaS"
→ CF Workers + Hono + Angular + D1
→ Playwright E2E across 6 breakpoints
→ Real content, real interactions
→ Lighthouse 95+ a11y, Yoast green
→ Deployed, tested, verified. Done.

How Skills Flow

The router loads the smallest useful subset. No wasted context.

💬 Your Prompt
Skill Router
01 OS
05 Arch
06 Build
07 QA
🤖 18 Agents
🚀 Deployed Product

FAQ

Does this work with Cursor, Copilot, and Windsurf?

Yes. Claude Skills generates 32 platform-specific convention files. When you install it, your tool automatically picks up the right format — MDC rules for Cursor, copilot-instructions.md for Copilot, .windsurfrules for Windsurf, and 29 other variants.

Is this different from .cursorrules files?

Fundamentally. A .cursorrules file is a flat text dump. Claude Skills is a 14-category system with 94 reference docs, intelligent routing (load only what you need), and 18 specialized agents. It generates .cursorrules as one of 32 outputs.

What if I don't use the default stack?

The system has escape hatches for every choice. Don't use Angular? The frontend skill adapts. Don't use Cloudflare? The deploy skill handles other platforms. The architecture decisions are opinionated defaults, not locked dependencies.

How do the 18 agents work?

Each agent has a defined model (Opus, Sonnet, or Haiku), permission mode, and skill set. The meta-orchestrator spawns them in parallel — architect designs the structure, test-writer creates failing tests, deploy-verifier checks production. They coordinate automatically.

Is this free?

Yes. Open source, free forever. The skills are published on npm, JSR, and GitHub. You bring your own AI tool subscription — Claude Skills just makes it dramatically more effective.

How do I create custom skills?

Follow the SKILL.md format with frontmatter (name, description, submodules). Place it in the numbered directory structure. The router will pick it up automatically. See the CONVENTIONS.md for the full spec.

How does the skill router minimize context usage?

The router analyzes your prompt and loads only the relevant skill categories and their submodules. A billing feature loads skills 05 (Architecture) and 13 (Observability) but skips 11 (Motion) and 12 (Media). This keeps context usage under 20% of the available window for most prompts.

Does Claude Skills work with OpenAI Codex CLI?

Yes. Claude Skills generates a CODEX.md file and supports the ~/.codex/skills/ directory format. Install with: git clone https://github.com/megabytespace/claude-skills ~/.codex/skills/claude-skills. The same skill content works across both Claude and OpenAI tools.

What verification does the system run after deployment?

Five layers: TypeScript compilation check, Playwright E2E tests across 6 breakpoints (375px to 1920px), axe-core accessibility audit (zero violations required), AI visual QA via GPT-4o screenshot analysis, and Lighthouse scoring (accessibility ≥95, performance ≥75). Deploy fails trigger automatic fix-forward cycles.

Can I use this for existing projects, not just new ones?

Absolutely. Drop the skills into any repo and the system adapts to your existing stack, patterns, and conventions. It reads your codebase, respects your architecture, and applies its quality standards to new features while preserving what's already there.

How is this different from a SaaS template or boilerplate?

Templates give you starting code. Claude Skills gives you an engineering brain. It makes real-time decisions about architecture, generates tests before code (TDD), deploys and verifies automatically, writes production copy (not "Lorem ipsum"), and iterates until zero recommendations remain. It's a system, not a scaffold.

What security checks are built in?

The Security Reviewer agent scans for OWASP Top 10 vulnerabilities, hardcoded secrets, injection flaws, auth bypasses, and CSP issues. Every form gets Turnstile protection. Every database query uses parameterized Drizzle ORM. detect-secrets scan runs on every commit via pre-commit hooks.

Crafted by a Principal SE

14 years of front-end, backend, app, and OS development. Years of surfing GitHub for the best patterns. Distilled into a system that builds what you describe.

This isn't a template. It's the accumulated judgment of a senior engineer who knows what production code actually looks like — encoded into skills that any AI tool can execute.