ChatGPT Canvas Pro
by mochalatte
Master the ChatGPT Canvas interface for surgical document editing, code refactoring, and version management.
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Works with the AI tools you already use
See it in action
You say
I have a 1000-word technical spec in canvas. I need to make the intro shorter for a high school reading level, but keep the API table exactly as it is.
Your agent does
Canvas state
Text Canvas open, 1000-word technical spec.
Plan
- Selection edit on the intro paragraph.
- Apply Reading Level shortcut to Middle School/High School for selection only.
Edit
Select lines 1-15: "Shorten this intro to two paragraphs at a high school reading level."
What you get
About this skill
The problem
Managing long documents or complex code in a standard chat interface leads to messy rewrites and lost context. Users often struggle to trigger the right editing tools or lose work when a prompt rewrites the entire file instead of a specific section.
What it does
- Determines when to trigger the side-by-side Canvas interface versus staying in chat.
- Executes targeted selection edits to modify specific paragraphs without destroying the surrounding document.
- Orchestrates code-specific workflows including bug fixing, log insertion, and porting between languages like Python and JavaScript.
- Manages document versioning and recovery to prevent data loss during multi-step restructures.
- Handles format conversions such as turning markdown docs into plain-text emails or raw data into tables.
Frameworks & tools
ChatGPT Canvas interface, Python (sandboxed WebAssembly), HTML/React live previews, and Markdown.
Why this beats prompting it yourself
Writing a prompt often results in the LLM rewriting your entire document when you only wanted one sentence changed. This skill knows the specific shortcuts for length, reading level, and code review, ensuring edits are surgical and maintain your existing work.
Use cases
- Drafting long-form reports where you need to expand an outline section by section.
- Porting a Python script to JavaScript while maintaining comments and logic.
- Converting technical release notes into a simplified email for non-technical stakeholders.
- Debugging code by injecting logs and reviewing specific failing functions inline.
Known limitations
Requires the ChatGPT Canvas interface. Cannot send emails, publish to a CMS, commit to git, or install external Python packages.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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