Generate an AGENTS.md file with setup, test, build, and CI/CD instructions.
npx skills add https://github.com/involvex/skills --skill create-agentsmd-involvex
Please help me install this Agent Skill. Skill: create-agentsmd Source: https://github.com/involvex/skills/tree/main/skills/create-agentsmd Command: npx skills add https://github.com/involvex/skills --skill create-agentsmd-involvex
Provides a clear, agent-focused repository manifest so automated coding agents can quickly understand project context, setup, development workflow, testing, and deployment without relying on noisy human-oriented READMEs.
Create an AGENTS.md at the repository root summarizing the project's purpose, setup commands, development and test workflows, build and deployment steps, and any monorepo navigation tips.
High-intent search queries and answers about installing and using this skill.
An AGENTS.md file is a repository manifest providing actionable setup, test, build, and CI/CD instructions for AI coding agents. It helps automated tools understand project context quickly without relying on human-oriented READMEs.
To generate an AGENTS.md for a monorepo, apply the skill to your repository root. It summarizes package structure, setup commands, CI checks, and navigation tips to speed up automated tasks across multiple packages.
Yes, AGENTS.md documents your existing CI/CD pipelines and development workflows. It captures environment commands, testing instructions, code style guidelines, and build/deploy steps so AI agents can execute them predictably.
The best way to onboard an AI assistant is creating an AGENTS.md at the repository root. It provides explicit environment and workflow instructions, allowing the agent to run tests, build packages, and make focused code changes.
An AGENTS.md file should include project overview, installation and environment commands, development workflow, testing instructions, code style, build/deploy steps, and optional monorepo or security notes to guide AI agents.
Yes, AGENTS.md replaces noisy human-oriented READMEs for automated agents. It provides a clear, agent-focused manifest with actionable commands and context, ensuring AI agents quickly understand project setup and deployment requirements.
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