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Best practices for setting up high-quality GitHub repos for AI coding agents. Use when setting up a new repo, improving an existing repo's infrastructure, or answering "what does this repo need for agents to work effectively". Triggers on "set up repo", "make repo agent-ready", "repo best practices", "/agent-ready".
license
MIT
metadata
author
version
agent-next
0.2.0
Agent-Ready: Repo Setup Best Practices
A curated collection of best practices for standard high-quality GitHub repos and AI coding agent workflows. Read this to learn what to set up — then use your own intelligence to generate project-specific configs.
Workflow
Analyze the project — read package.json/pyproject.toml, understand language/framework/structure
Check what's missing — call check_repo_readiness MCP tool or run npx agent-ready check .
Read the relevant reference — for each missing area, read the reference doc below
Generate project-specific configs — use your understanding of THIS project, not generic templates
Verify — run linters, tests, check CI workflows are valid