Grok CLI Best Practices (v1.1)

    by Markus Isaksson

    2

    Master the Grok Build CLI with professional workflows, safety protocols, and structured plan-mode discipline.

    Free

    8 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    I need to add JWT authentication to my Express API. Check my middleware folder, set up a todo list, and start a plan for implementation.

    Your agent does

    Plan for: JWT Middleware Implementation

    1. [DONE] Explore src/middleware/
    2. [TODO] Create auth.middleware.js
    3. [TODO] Update routes/api.js with rate limiting
    4. [TODO] Run 'npm test' to verify

    Entering Plan Mode (/plan)... I will now draft the token validation logic.

    About this skill

    Optimize Your Grok Build CLI Workflow

    Working in a TUI or CLI environment requires a different discipline than standard chat interfaces. This skill provides your AI agent with a professional-grade operational framework specifically designed for Grok 4.3 in the Grok Build CLI. It solves the common problems of iterative "hallucination loops," vague implementation plans, and missed edge cases.

    What it does

    The skill embeds a structured workflow into your agent's decision-making process. It high-levels the interaction into four distinct phases: Exploration, Planning (via Plan Mode), Implementation, and Verification. By enforcing strict todo management and explicit goal-setting, it ensures complexity doesn't lead to code rot.

    Key Features

    • Structured Plan Mode: Encourages the use of `/plan` for architectural changes before a single line of code is written.
    • Todo System Integration: Maintains a live, actionable todo list to track progress across long sessions.
    • Safety Protocols: Implements guardrails for destructive commands and security-sensitive refactors.
    • Context Optimization: Guides the agent on how to use read_file and directory summaries to build an accurate mental model of your codebase.

    Why use this instead of basic prompting?

    While generic prompts work for snippets, they fail in large codebases. This skill gives your agent the "project manager" perspective needed to handle multi-file refactors safely, reducing wasted tokens and ensuring every change is verified against your local environment.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Verified clean 3 months ago

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    Installs8
    Listed3 months ago

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