
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Create or update AGENTS.md files for projects. Audits a monorepo or codebase, identifies cross-project conventions, and produces a structured AGENTS.md that guides AI agent behavior. Use when the user wants to create AGENTS.md, set up agent rules, bootstrap a new project's AI context, or improve existing agent instructions.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Optimizes agent rule files (AGENTS.md, AGENTS.global.md, .cursor/agents/*.md) to follow prompt engineering best practices. Use when creating, editing, or reviewing agent rules, or when the user asks to optimize prompts for AI agents.
Splits uncommitted changes into a small set of logical, single-concern git commits. Use when the user wants to organize changes into logical commits, split a large change into multiple commits, or create a series of conventional commits from the current working tree.