
GoldBug is hunting for gold...

GoldBug is hunting for gold...
From Zero to One-Person Army · Install in This Order
This is the exact installation order — tested by someone who went from "no idea where to start" to "one-person army". Each phase builds on the previous. Don't skip. Don't rush. Complete each phase before moving on.
Phase 1 Day 1 Survival Claude Code → Codex → web-access → Claude-mem → Vision
↓ Get It Running
Phase 2 Day 2 Quality superpowers → Karpathy → eval → BUG Check Flow
↓ Bug-Free
Phase 3 Day 3-5 Expansion skill-creator → find-skills → gstack → Everything CC → Skills Ecosystem
↓ Full Radar
Phase 4 Day 5-7 Content Humanizer-zh → ai-image-prompts → Frontend Design → markmap
↓ Beautiful Output
Phase 5 Ongoing Connections MCP Ecosystem → awesome-mcp → Firecrawl MCP → Community Tracking
Infinite SlotsEverything starts here. It's your lead developer, writing 90% of the code. Install it first — all other skills serve under it.
Claude Code is the brain, Codex is the hands. Brain plans, hands execute. Also has vision — can view images and recognize interfaces.
Without web access, AI is just an offline dictionary. Install web-access MCP and Claude Code can search, read docs, browse the web. These are your 'eyes'.
Starting from zero every conversation? Install memory. Claude remembers your projects, preferences, decisions. Gets smarter with use. Without it, you repeat yourself every time.
Screenshots/designs/UI — AI needs to see. With vision, Claude analyzes designs, identifies bug screenshots, understands user feedback images.
Enforced TDD + auto code review. Tests before implementation, auto review before commit. Your quality gate. 134k stars, the strongest AI coding standards system.
Andrej Karpathy's 4 coding rules: think before coding, keep it simple, don't over-abstract, make it work then optimize. Injected into Claude Code as behavioral guidelines.
Auto-run full test suite on every change. Can't merge without passing. Your safety net — with it, you can let AI boldly modify code.
Not a tool, a habit. After every feature: check → run → verify → confirm no bugs → continue. Build this habit, bug rate drops 80%. This is the core of the quality assurance layer.
Need a skill that doesn't exist? Create it yourself. Describe requirements in natural language → auto-generate cross-platform skills. Your capability ceiling is no longer limited by existing skill libraries.
Don't know what skills are available? find-skills searches global skill libraries, tells you 'these skills can help'. Your skill radar — continuously scanning, continuously discovering.
53 engineering skills bundled: from requirements to architecture to code review to deployment. Garry Tan 118K-star methodology + AI execution. Install it — you alone are a complete engineering team.
The 'yellow pages' of the Claude Code ecosystem. Index of all skills, MCPs, workflows. Search here when you don't know what to use. Continuously updated, follow the community.
Three major skill repos: claude-skills / agent-skills / ai-skills. Covers coding, design, writing, analysis, automation. Your ammunition depot. Check regularly for new skills.
AI-written Chinese is instantly recognizable — too neat, no warmth, like a textbook. Humanizer-zh makes your copy read like a real person wrote it. Critical for launching in the Chinese market.
Products need images — hero images, screenshots, social media cards. AI image prompting is a skill. This helps you write great image prompts.
Claude auto-selects colors, fonts, spacing. You don't need to be a designer — say 'I want a tech feel' and it generates aesthetic UI automatically. This is your designer.
Turn complex ideas into mind maps. Product architecture, user flows, market analysis — one-click visualization. A picture is worth a thousand words when explaining your product.
Model Context Protocol — the standard for AI connecting to everything. Databases, APIs, file systems, browsers — all connectable via MCP. Install the right MCP Server and Claude Code controls any tool. Your 'infinite expansion slot'.
Community-maintained MCP server directory. 83k stars. Covers CAD, databases, design tools, cloud services — hundreds of ready connectors. Find what you need, install, use.
Install Firecrawl MCP, Claude can scrape any webpage, analyze data, monitor changes. This is the MCP implementation of the L6 Data Intelligence layer in our architecture.
GitHub Trending + Reddit r/ClaudeCode + X #ClaudeCode. Spend 5 minutes daily checking community recommendations. Know instantly when good skills appear. This is how 'real-time tracking' works in our architecture.
Curated for you. Only the best. Continuously tracking GitHub star trends.
Last updated: July 2026 · Source: GitHub Trending + Community verified · Not sponsored
TDD-driven + 14 skills + 5 agents. Community consensus #1. Code quality leaps after install.
28 agents + 119 skills + 60 commands. Total ecosystem index. Start here when looking for skills.
70 lines of config change everything. The 'Clean Code' of AI programming. Must-install.
Official release. 17 first-party skills. PDF/Design/MCP/Testing all covered. Your baseline.
TypeScript master's config. 17 battle-tested skills. Must-see for frontend/fullstack devs.
YC CEO's config. 23 expert roles. Sprint workflow. The strongest backbone for solo founders.
Multi-agent orchestration platform. Swarm collaboration + autonomous workflows. Your legion command system.
Most authoritative curated list. Skills/Hooks/Agents/Orchestrators/Plugins. Community-recognized entry point.
By Google. Full SDLC lifecycle. Performance/Debugging/Architecture/Testing all covered.
Let AI control the browser. Debugging/Performance analysis/DOM manipulation. Your 'eyes and hands'.
850+ SaaS integrations + curated skills. Come here when you need to connect external services.
Encyclopedia level. Commands→Agent→Skill→Hook→MCP→Memory full chain.
Manus-style persistent planning. Complex task breakdown + Markdown tracking. Keep your thoughts organized.
Cross-session memory engine. MCP integrated. AI no longer 'forgets' after install.
313+ skills. Engineering/Marketing/Product/Compliance/Research all covered. Ammunition depot.
117K+ project directory. Auto-refreshes every 8 hours. 10-dimension quality scoring. Strongest discovery engine.
Official team collections. Anthropic/Google/Vercel/Stripe/Cloudflare. Big tech configs.
200+ skill collection. Compatible with Claude Code/Cursor and other platforms.
If you only install 3:
superpowers — Code quality foundation
everything-claude-code — Total skill index
andrej-karpathy-skills — Coding principles
If you want a one-person company:
On top of the 3 + gstack (23 expert roles) + ruflo (multi-agent orchestration)
These 5 skills combined = you have CEO+CTO+Engineer+QA+Designer. One person is a team.
Continuously discover new skills:
Spend 5 min/day on agent-skills-hub (auto-updates every 8h) and GitHub Trending
Know instantly when good skills appear. Your skill library is always current.
Installing the basics is just the beginning. Real growth — every bottleneck, add one skill, break through one ceiling.
Can do: Can write code with AI, get basic features working
Bottleneck: Code runs but quality is unstable, frequent bugs
Install TDD and automated testing. Every change auto-verified. Bug rate drops from 30% to 5%.
Can do: Can independently complete full projects, backed by skill library
Bottleneck: Current skills are adequate but don't know what's better
Install skill discovery engine. Scan GitHub Trending and community recommendations daily. Continuously find stronger skills to replace existing ones.
Can do: Product features complete, ready to ship
Bottleneck: Works but not beautiful / not engaging / sounds like AI
De-AI the copy + auto aesthetics + image engine. Upgrade from 'works' to 'users want to use'. This is the leap from developer to product manager.
Can do: Can connect any tool, no capability ceiling
Bottleneck: Every new tool requires manual integration
Model Context Protocol. The standard for AI to connect everything. Databases, APIs, browsers — install the MCP and use. Capability boundaries are no longer a problem.
Can do: One person = complete team. AI codes + tests + reviews + deploys + operates
Bottleneck: Limited energy, too many concurrent projects
Create custom skills to fill gaps. Use gstack's 53 engineering skills to build complete pipelines. From 'AI helps me' to 'AI does the work'. You just handle direction and decisions.