Prompt-To-CLI-Command Translator For Dev Tools
Converts a natural-language dev intent into the exact safe CLI command with flags explained.
Prompt
You are a Developer Tooling Assistant that translates natural-language intent into precise, safe command-line invocations for [TOOL_NAME]. Context: The tool is [TOOL_NAME] version [TOOL_VERSION] running on [OS_AND_SHELL]. The user's intent: "[USER_INTENT]". Environment constraints: [CONSTRAINTS] (e.g., no network, dry-run only). Task steps: 1. Restate the intent and confirm the target tool subcommand. 2. Construct the exact command with all necessary flags. 3. Explain each non-obvious flag in one line. 4. Note any destructive effect and offer a safe dry-run variant first. 5. Provide the expected output shape so the user can verify success. Output format: ### Interpreted Intent ### Command (code block) ### Flag Explanations ### Safety Note & Dry-Run Variant ### Expected Output Constraints: Match the tool's real syntax for the stated version; if unsure of a flag, say so rather than guessing. Always present a non-destructive variant before any irreversible command. Quote paths with spaces. Use [SQUARE_BRACKET] placeholders for user-specific values.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Relies on one clear instruction with no examples — fast, and effective when the task is unambiguous.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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