yida-flash-note-to-prd

Name: yida-flash-note-to-prd
Availability: InStock
Author: OpenYiDA

Convert DingTalk flash notes into structured PRD markdown files.

201|43|Updated Mar 5, 2026

Search Tags:#prd #prompt #dingtalk #lowcode #flashnote #meetingnotes

Ready to run

npx skills add https://github.com/openyida/openyida --skill yida-flash-note-to-prd

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: yida-flash-note-to-prd
Source: https://github.com/openyida/openyida/tree/main/yida-skills/skills/yida-flash-note-to-prd
Command: npx skills add https://github.com/openyida/openyida --skill yida-flash-note-to-prd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It eliminates manual effort of translating DingTalk flash notes, meeting minutes, or requirement documents into structured PRD files, enabling seamless low‑code application generation.

Core Features & Use Cases

Automatic Input Detection: Recognizes text, image, or link flash notes and processes them accordingly.
Metadata Extraction & Prompt Generation: Extracts meeting metadata, A1 summaries, and generates a Yida‑compatible structured prompt.
File Output & Confirmation: Writes the PRD to prd/<project>.md and prompts the user for validation before proceeding.

Quick Start

Ask the AI to convert my DingTalk flash note into a PRD for the project “员工积分管理系统”.

Frequently Asked Questions about yida-flash-note-to-prd

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert DingTalk flash notes into a structured PRD document?▼

To convert DingTalk flash notes into a PRD, the system automatically detects text, image, or link inputs, extracts metadata, and generates a structured Yida low-code prompt written to prd/project.md.

Can I generate Yida low-code development prompts directly from meeting minutes?▼

Yes, you can generate Yida low-code prompts from meeting minutes by processing the flash notes. It extracts A1 summaries and meeting metadata to create a Yida-compatible structured prompt.

Does this PRD generation process support image and link inputs from flash notes?▼

Yes, PRD generation supports image and link inputs. It features automatic input type detection to recognize and process text, image, or link flash notes accordingly.

What is the output format when translating requirement documents into Yida prompts?▼

The output format is a markdown file written to prd/project.md. It adheres to Yida's prompt format and prompts the user for validation before proceeding with low-code development.

How do I validate the generated PRD before starting low-code application generation?▼

To validate the generated PRD, the system prompts the user for confirmation after writing the structured prompt to prd/project.md, ensuring seamless low-code application generation.

Are there limitations when using flash notes for automatic metadata extraction?▼

Limitations depend on the input source quality. Automatic metadata extraction works best with clear DingTalk flash notes, meeting minutes, or requirement documents to generate accurate Yida prompts.