Generate an AGENTS.md file with setup, development, testing, and build sections.
npx skills add https://github.com/nushey/sdd-flow --skill create-agentsmd-nushey
Please help me install this Agent Skill. Skill: create-agentsmd Source: https://github.com/nushey/sdd-flow/tree/main/skills/create-agentsmd Command: npx skills add https://github.com/nushey/sdd-flow --skill create-agentsmd-nushey
It saves teams from writing and maintaining an agent-specific repository guide by producing a complete, structured AGENTS.md at the project root.
Ask an AI to run the create-agentsmd skill to generate a complete AGENTS.md file that follows the agents.md guidance at the repository root.
High-intent search queries and answers about installing and using this skill.
To generate an AGENTS.md file, you ask an AI to run the create-agentsmd skill. It produces a complete Markdown file at the project root containing structured sections for setup, development workflow, testing, code conventions, and build/deployment.
An AGENTS.md file provides AI coding agents with structured project context. It standardizes repository-wide documentation so coding tools can quickly find actionable instructions for setup, development, testing, and build/deploy guidance.
Repository documentation for AI agents should include actionable sections covering setup, development workflow, testing, code style, and build/deploy guidance. These command-oriented instructions reduce agent guesswork and speed up project onboarding.
You can use it for creating or updating repository-wide agent documentation. The skill generates a complete Markdown file with clear frontmatter and actionable engineering context, ensuring your existing project instructions remain current.
No dependencies are required to create agent-ready repository documentation. The skill operates independently to produce a standardized Markdown file that provides coding tools with essential engineering context.
The best way to provide project context is generating a standardized AGENTS.md file at the repository root. This ensures agents find actionable, command-oriented instructions for setup, development, testing, and deployment without guesswork.
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