What is the purpose of the AGENTS.md file?

It serves as a set of rules and role definitions that guide the AI agent's behavior, constraints, and testing protocols within a specific project.

Can I integrate my specific testing tools and MCP tools?

Yes, the skill prompts for your specific stack, testing toolchain, and MCP tool usage to ensure the instructions are project-specific.

Are backups created when updating AGENTS.md?

Yes, if an AGENTS.md file already exists, the skill creates a timestamped backup (e.g., AGENTS.md.bak.timestamp) before writing the new version.

Does this skill overwrite existing files without warning?

No, the skill drafts the content in the chat first and requires the user to reply 'CONFIRM' before overwriting the file.

Agents Bootstrap

Name: Agents Bootstrap
Author: bnufw

bybnufw

Productividad y Flujo de Trabajo

Generates a project-specific AGENTS.md file to define roles, constraints, and testing strategies for AI-driven development.

Acerca de

The Agents Bootstrap skill automates the creation of a standardized AGENTS.md file, which serves as a foundational configuration for AI agents working on a specific project. It identifies project roles, non-negotiable constraints, tech stacks, and testing toolchains to ensure the AI operates within a defined, enforceable framework. By tailoring the configuration to specific user goals and providing automatic backups, it reduces setup friction and improves the consistency and safety of AI-led development tasks.

Características Principales

Automated AGENTS.md generation from user-defined goals
Customizable project constraints and tech stack definition
Integration with MCP tools and testing policies
0 GitHub stars
Interactive confirmation flow to prevent accidental changes
Safe file overwriting with timestamped backups

Casos de Uso

Standardizing AI agent roles and objectives across team environments
Defining strict testing and commit rules for an existing repository
Setting up a new development project for AI collaboration

Acerca de

Características Principales

Automated AGENTS.md generation from user-defined goals
Customizable project constraints and tech stack definition
Integration with MCP tools and testing policies
0 GitHub stars
Interactive confirmation flow to prevent accidental changes
Safe file overwriting with timestamped backups

Casos de Uso

Standardizing AI agent roles and objectives across team environments
Defining strict testing and commit rules for an existing repository
Setting up a new development project for AI collaboration