KhazP/vibe-coding-prompt-template

Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

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KhazP/vibe-coding-prompt-template has 3k+ stars and 400+ forks on GitHub, is written in TypeScript, and was last pushed on Oct 4, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 23 minutes ago
Added to GitGenius on September 22nd, 2026
Created on April 14th, 2025
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 405
Total Stargazers: 3,161 (+1)
Total Subscribers: 22 (+0)

Repository Insights (GitGenius)

Median issue/PR response: N/A
Mean response time: 10.5 hours
90th percentile: 20.9 hours
Tracked items: 2

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • vibeworkflow.app (1)

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Detailed Description

Vibe Coding Prompt Template is a workflow tool that provides templates for generating product requirements documents, technical designs, and minimum viable products using large language models within AI-integrated development environments.

The tool addresses the challenge of structuring prompts and workflows when using LLMs to assist with software development planning and documentation. It works by offering pre-built templates that guide LLM interactions toward producing specific artifacts like PRDs and technical designs, reducing the need to craft prompts from scratch and helping developers maintain consistency across generated documents.

The tool suits developers working with AI IDEs such as Cursor, Claude Code, and similar environments who want to accelerate the planning phase of projects. It is particularly valuable for teams building MVPs or those new to prompt engineering, as it provides a beginner-friendly starting point rather than requiring deep expertise in crafting effective LLM prompts. The project is built with TypeScript and Node.js, making it accessible to JavaScript-based development workflows.

Development activity shows consistent engagement with the codebase through regular commits and pull requests. The project maintains an active issue tracker with responses to user questions and feature requests. Documentation is kept current alongside code changes, indicating that maintainers prioritize keeping guidance aligned with the tool's actual capabilities.