Generate a standardized AGENTS.md by interviewing users and scanning the project.
npx skills add https://github.com/dotBeeps/hoard --skill agent-init-dotbeeps
Please help me install this Agent Skill. Skill: agent-init Source: https://github.com/dotBeeps/hoard/tree/main/morsels/skills/agent-init Command: npx skills add https://github.com/dotBeeps/hoard --skill agent-init-dotbeeps
AGENTS.md provides a universal instruction format for guiding AI coding agents by capturing project context and stakeholder goals so agents can operate consistently.
Run the agent-init workflow to generate an AGENTS.md for your project, answering prompts and saving the result.
High-intent search queries and answers about installing and using this skill.
To generate an AGENTS.md, run a workflow that scans your project directory and prompts you for stakeholder goals, constraints, and preferred conventions. This produces a standardized instruction file that guides AI coding agents consistently across tasks.
An AGENTS.md is a universal instruction format that captures project context and stakeholder goals for AI coding agents. You need it when starting new AI-assisted projects, onboarding teams, or updating agent instructions to ensure consistent automated guidance.
You can update an existing AGENTS.md or bootstrap one for new projects. The workflow investigates your current directory structure and interviews you to capture new preferences, outputting a ready-to-use file that can be shared across major agents.
Yes, the AGENTS.md generation process requires manual input through an interview format. While it automatically scans the directory to determine the stack and structure, it prompts stakeholders to capture specific goals, constraints, and preferred coding conventions.
The AGENTS.md format relies on stakeholder interviews and directory scanning, meaning its quality is bounded by the context provided. It serves as universal guidance but requires manual re-interviews if project requirements shift significantly during ongoing work.
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