Agent skill · writing content · sickn33
mdpr-skill
Review MDPR Markdown presentation workflows with semantic hints, visual checks, and deterministic renderer boundaries.
Why this skill is useful
Provides domain-specific knowledge on MDPR workflows and semantic review processes that the AI wouldn't reliably generate on its own.
What it needs
About 5k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
mdpr-skill Overview Use this skill as the optional agent companion for MDPR, a deterministic Markdown-to-presentation runtime. MDPR owns parsing, layout, theming, validation, and final PPTX/HTML/PDF rendering. This skill helps an agent review MDPR workflows, propose weak semantic hints, and explain visual findings without taking control of slide geometry. The upstream skill source is ch040602/mdpr-skill, which includes schemas, review commands, compatibility artifacts, visual evidence examples, and MDPR boundary documentation. When to Use This Skill Use when the user asks about MDPR, mdpresent, Markdown-to-PPTX, or Markdown presentation review. Use when generated MDPR artifacts need semantic, narrative, accessibility, or visual review notes. Use when the user wants Codex-style presentation workflow hints while keeping MDPR as the deterministic renderer. Use when comparing MDPR output against image-only deck generators such as a codex-ppt style workflow. Use when a reusable theme or style-pack proposal should be expressed as an approval-bound MDPR candidate instead of direct final slide edits. Core Boundary Let MDPR own parsing, slide splitting, recipes, layout, coordinates, geometry, typography, colors, z-order, arrows, effects, exact icon assets, renderer object IDs, and final PPTX objects. Keep agent output semantic, evidence-based, and schema-valid. Express fixes as Markdown cleanup, MDPR rulebook changes, config changes, deterministic policy changes, or approval-bound proposals. Preserve the ability to build the same deck with all agent hints disabled. Do not mutate source Markdown unless the user explicitly asks for a cleaned source draft. How It Works Step 1: Identify the MDPR Surface Classify the user's request before producing advice: semantic hints: compact intent, grouping, importance, and icon-keyword suggestions. review report: visual or narrative concerns grounded in rendered evidence, manifests, or validation reports. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/mdpr-skill