xeeva

xeeva / Genesis

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Bootstrap fully-equipped Claude Code projects in under two minutes. Agents, skills, hooks, memory, MCP configs — all scaffolded from a single conversation.

12
1
100% credibility
Found Mar 30, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go Template
AI Summary

Genesis is a Claude Code project that scaffolds fully-equipped Claude Code development environments, including agents, skills, hooks, memory files, MCP server configs, and application boilerplate, based on a user's description of the desired project stack.

Star Growth

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AI-Generated Review

What is Genesis?

Genesis is a bootstrap GitHub template using Go Templates to scaffold fully-equipped Claude Code projects from a single conversation in the Claude CLI. You describe your app—like a Python FastAPI service with PostgreSQL and Redis—and it generates agents, skills, hooks, memory files, MCP configs, and stack-specific boilerplate across Node.js, Python, Go, Rust, Ruby, or Java. It solves the hassle of manual setup for Claude Code, delivering a ready-to-code environment with git init and next steps.

Why is it gaining traction?

Unlike basic bootstrap GitHub examples or generic templates, Genesis handles Claude-specific infrastructure like domain agents, workflow skills, and integrations via a four-phase chat: interview, plan approval, single-pass generation, and finalize. Developers notice instant productivity with auto-formatter hooks, test setups, and a project registry skill—plus self-updates and validation. Its GitHub Pages docs and genesis GitHub AI workflow make it a quick bootstrap GitHub repository for Claude users.

Who should use this?

Backend developers kicking off APIs in Python, Go, or Node who use Claude Code and hate crafting CLAUDE.md files or agent instructions. Full-stack teams needing idiomatic stacks with linters, tests, and MCP servers for databases or AWS. Early adopters experimenting with genesis GitHub repo tools for rapid prototyping.

Verdict

Worth cloning for Claude Code users—solid docs on GitHub io and supported stacks make it practical despite 12 stars and 1.0% credibility score signaling early maturity. Test on a side project first; review outputs before production.

(178 words)

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