From 0d01d20bff07d1b6da1eace6b9ef0a83637af8a8 Mon Sep 17 00:00:00 2001 From: Tech Nomad Date: Sun, 2 Aug 2026 05:01:18 +0200 Subject: [PATCH] Rename ultra-lean-mvp template to ultra-lean-mvp-development-planning --- prompt-templates/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/prompt-templates/README.md b/prompt-templates/README.md index 8558494..0452cdf 100644 --- a/prompt-templates/README.md +++ b/prompt-templates/README.md @@ -18,7 +18,7 @@ What makes these prompts unique is their **user-centered, guided conversational * [ux-user-flow](./ux-user-flow/): Template for translating PRDs into detailed UX Specifications. * [mvp-concept-definition](./mvp-concept-definition/): Template for defining focused MVP scope, hypotheses, and features. * [mvp-development-planning](./mvp-development-planning/): Template for developing detailed MVP development plans based on the concept. -* [ultra-lean-mvp](./ultra-lean-mvp/): Template focused on rapidly defining core MVP build specifications. +* [ultra-lean-mvp-development-planning](./ultra-lean-mvp-development-planning/): Template focused on rapidly defining core MVP build specifications. * [test-plan-generation](./test-plan-generation/): Template for creating thorough test plans for software quality assurance. * [v0-design-prompts](./v0-design-prompts/): Templates for generating `v0.dev` prompts based on UX Specs and MVP scope. * [session-continuation](./session-continuation/): Meta-prompt for distilling long chat sessions into continuation plans. @@ -33,4 +33,4 @@ What makes these prompts unique is their **user-centered, guided conversational ## Model Compatibility -These prompts were developed with large context window models in mind (like Google Gemini, GPT-4, Claude 3), as they need to maintain conversation context throughout lengthy exchanges. For best results when generating final document drafts, consider using a low temperature setting (0.2-0.5) to encourage factual, focused output. \ No newline at end of file +These prompts were developed with large context window models in mind (like Google Gemini, GPT-4, Claude 3), as they need to maintain conversation context throughout lengthy exchanges. For best results when generating final document drafts, consider using a low temperature setting (0.2-0.5) to encourage factual, focused output.