惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Blog — PlanetScale
Blog — PlanetScale
Jina AI
Jina AI
C
Check Point Blog
V
V2EX
H
Help Net Security
Microsoft Azure Blog
Microsoft Azure Blog
P
Proofpoint News Feed
A
About on SuperTechFans
D
DataBreaches.Net
腾讯CDC
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
IT之家
IT之家
WordPress大学
WordPress大学
人人都是产品经理
人人都是产品经理
T
The Blog of Author Tim Ferriss
Recent Announcements
Recent Announcements
Google DeepMind News
Google DeepMind News
云风的 BLOG
云风的 BLOG
MongoDB | Blog
MongoDB | Blog
J
Java Code Geeks
博客园_首页
T
Tailwind CSS Blog
M
MIT News - Artificial intelligence
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
Using LLMs for slide: MDPR + mdpr-skill
cchsh · 2026-06-24 · via DEV Community

cchsh

I have been building MDPR, a deterministic Markdown-to-editable-PPTX runtime, and mdpr-skill, an optional Codex companion for review hints.

The problem I wanted to avoid is common in LLM-generated slide decks: the model owns too much. It chooses coordinates, colors, emphasis, spacing, and object geometry directly. The first slide may look plausible, but coherence often drifts across the deck.

MDPR uses a different boundary:

  • Markdown is parsed into presentation structure.
  • Slide splitting and layout planning are deterministic.
  • Theme colors, z-order, object bounds, and renderer output are owned by MDPR.
  • The output is editable PPTX first, with HTML/PDF/PNG previews downstream.

mdpr-skill sits before that runtime. It can suggest compact semantic tags, icon-search keywords, Markdown cleanup notes, and visual QA concerns. It cannot own final coordinates, exact colors, z-order, shape geometry, exact icons, or renderer object IDs.

The short version:

The LLM can suggest; MDPR renders.

Install MDPR:

npm install -g @mdpresent/cli
mdpresent build deck.md --to pptx,html --out dist

Runtime:
https://github.com/ch040602/MdPr

Optional skill:
https://github.com/ch040602/mdpr-skill

npm:
https://www.npmjs.com/package/@mdpresent/cli

Preview gallery:
https://ch040602.github.io/MdPr/theme-preview/

I am looking for Markdown edge cases that usually break when converted into PowerPoint: dense tables, chart/table pairs, diagrams, mixed-language text, captions, and documents where editability matters after generation.