Best Claude Code Prompt for “Write a Technical Spec”
Claude Code is an agentic CLI that autonomously reads files, runs commands, and writes code. The single most important technique is verification-first prompting: start with what 'done' looks like (run tests, verify build) and describe outcomes, not implementation steps. This free template is optimized specifically for Claude Code, achieving approximately 37% token reduction compared to unoptimized prompts while producing higher quality output.
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Optimized Claude Code Prompt
<verification> Run the test suite and ensure all tests pass. Verify that the new feature functions as described in the outcome. If the feature involves user interaction, manually test the user flows. </verification> <outcome> Write a comprehensive technical specification document for the [feature] feature. This document should clearly outline the proposed solution, including its architecture, data models, API endpoints, and user interface considerations. The specification should serve as a blueprint for development, ensuring all stakeholders have a shared understanding of the feature's scope and implementation details. </outcome> <context> Review existing feature specifications in the `docs/technical-specifications/` directory for formatting and content guidelines. Examine the codebase in `src/features/[feature_area]/` to understand the current patterns and architectural decisions relevant to this feature. </context> <constraints> Do not implement the feature itself; focus solely on creating the technical specification document. Adhere to the established documentation standards and templates. Ensure the specification is clear, concise, and easily understandable by both technical and non-technical team members. Do not introduce breaking changes to existing systems or APIs within the scope of this specification. </constraints> <git> Commit the generated technical specification document to the repository. </git>
Why This Claude Code Prompt for “Write a Technical Spec” Works Better
When you type “Write a technical specification for [feature]” into Claude Code, it lacks structure — Claude Code has to guess what format you want, how detailed to go, and what to prioritize. The optimized version removes that guesswork.
It starts with verification criteria (what 'done' looks like), describes the desired outcome rather than implementation steps, and scopes the task to specific files — matching Claude Code's agentic workflow.
This Prompt Optimized for Other AI Models
Each AI model processes instructions differently. See how this same prompt is optimized for:
Frequently Asked Questions
What makes a good Claude Code prompt for write a technical spec?
Claude Code is an agentic CLI that autonomously reads files, runs commands, and writes code. The single most important technique is verification-first prompting: start with what 'done' looks like (run tests, verify build) and describe outcomes, not implementation steps.
Can I use this prompt template for free?
Yes — copy the optimized prompt below and paste it directly into Claude Code. For unlimited prompt optimization across all 5 AI models, try PromptOptimizr free with 10 prompts per month. You can also use the Chrome extension to optimize prompts directly inside your AI chat.
Why is this prompt different from a generic one?
Each AI model processes instructions differently. Claude Code has specific formatting preferences — this prompt is structured to work with those preferences, not against them. The result is better output quality with approximately 37% fewer tokens.
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