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Canvas Present

Community
AgriciDaniel
canvas-present

Build presentation-mode canvases for the Advanced Canvas plugin. Creates slide-deck canvases with 1200x675 group nodes connected by edges for arrow-key navigation. Supports title slides, content slides with images, full-text slides, and optional script annotation columns for video planning. Triggers on: canvas present, create presentation, build slide deck, canvas slides, make a presentation, presentation canvas, present from notes, slide deck canvas, canvas presentation.

Overview

PublisherAgriciDaniel
Repositoryclaude-canvas
Skill namecanvas-present
Stars
301
Forks
27
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Canvas Present AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AgriciDaniel/claude-canvas/tree/main/skills/canvas-present
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgriciDaniel/claude-canvas.git /tmp/claude-canvas
mkdir -p .claude/skills
cp -r /tmp/claude-canvas/skills/canvas-present .claude/skills/canvas-present
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Canvas Present in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Canvas Present on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Canvas Present is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

canvas-present: Presentation Canvas Builder

Read ../canvas/references/presentation-spec.md for slide dimensions, navigation edges, layout patterns, and color coding. Read ../canvas/references/performance-guide.md for node limits.


Operations

Build Presentation (/canvas present [topic])

Create a complete presentation canvas from a topic description.

Workflow:

  1. Gather context: Ask the user for:

    • Topic/title (required)
    • Number of slides (default: 6, recommend 6-10)
    • Style: deck (1200×675 clean) or storyboard (1920×1080 with script column)
    • Whether to generate images for slides (requires /banana)
  2. Generate slide structure: Claude writes the content for each slide:

    • Slide 1: Title slide (title, subtitle, date)
    • Slide 2: Agenda/overview
    • Slides 3-N-2: Content slides (key points, data, findings)
    • Slide N-1: Key takeaway / summary
    • Slide N: Next steps / closing
  3. Create the canvas:

    a. Start from the presentation template:

    bash
    python3 scripts/canvas_template.py presentation [output_path] \
      --param title="[topic]" --param slide_count=[N]

    b. Edit each slide's text node with the generated content using the Edit tool.

    c. If images requested: generate via /banana and add as file nodes inside slide groups.

    d. If storyboard style: add script annotation text nodes (width=500) to the right of each slide group.

  4. Color-code slides per the spec:

    • Title/close: "6" (purple)
    • Content: "4" (green)
    • Key insight: "5" (cyan)
    • Action items: "2" (orange)
  5. Validate:

    bash
    python3 scripts/canvas_validate.py [output_path]
  6. Report: "Created [N]-slide presentation at [path]. Open in Obsidian with Advanced Canvas to navigate with arrow keys."


Build from Notes (/canvas present from [notes])

Create a presentation from existing markdown files or wiki pages.

Workflow:

  1. Find source notes: Search for the specified files. If in a claude-obsidian vault, use wiki/ paths. Otherwise search the current directory.

  2. Extract content: Read each note and extract:

    • H1 headings → slide titles
    • H2 headings → slide section markers
    • Key paragraphs → slide body text
    • Images/embeds → slide visuals
    • Bullet lists → slide bullet points
  3. Map to slides: One H1 or H2 section per slide. If a section is too long (>200 words), split into multiple slides.

  4. Generate canvas: Follow the same build workflow as /canvas present [topic], using extracted content instead of Claude-generated content.

  5. Report: "Created presentation from [N] source notes → [M] slides."


Add Slide (/canvas present add slide [content])

Add a new slide to an existing presentation canvas.

Workflow:

  1. Read the existing presentation canvas.
  2. Find the last slide group (highest y for vertical stack, highest x for horizontal).
  3. Create a new slide group at the next position:
    • Vertical: y = last_slide_y + last_slide_height + 100
    • Horizontal: x = last_slide_x + last_slide_width + 100
  4. Add content text node inside the new slide group.
  5. Add edge from the previously-last slide to the new slide.
  6. Write and validate.

Slide Content Guidelines

Each slide should follow the "one idea per slide" principle:

  • Title: 3-8 words. Use H2 (##) for slide titles.
  • Body: 2-5 bullet points OR 1-2 short paragraphs. Max 100 words per slide.
  • Visual: One image or diagram per content slide. Place to the right of text.
  • Callouts: Use Obsidian callouts for emphasis:
    markdown
    > [!tip] Key Insight
    > The main takeaway in one sentence.

Mermaid in slides: Mermaid diagrams render natively in text nodes. Great for data slides:

markdown
## Revenue Growth

```mermaid
graph LR
    Q1["Q1: $1.2M"] --> Q2["Q2: $1.8M"]
    Q2 --> Q3["Q3: $2.4M"]
    Q3 --> Q4["Q4: $3.1M"]

---

## Integration with Media Skills

When the user requests images for slides:

1. **banana**: Generate hero images, backgrounds, illustrations.
   - Prompt pattern: "[slide topic], presentation slide style, clean, professional"
   - Add as file node inside the slide group (half-width, right-aligned)

2. **svg**: Generate charts, diagrams, icons.
   - Best for data visualization slides
   - Add as file node with viewBox-based sizing

3. **Mermaid**: Native in text nodes — no external skill needed.
   - Best for flowcharts, sequence diagrams, gantt charts inside slides

If media skills are not installed, build text-only presentations and suggest: "Install `/banana` for AI-generated slide images."

Frequently asked questions

What does the Canvas Present AI skill do?

Build presentation-mode canvases for the Advanced Canvas plugin. Creates slide-deck canvases with 1200x675 group nodes connected by edges for arrow-key navigation. Supports title slides, content slides with images, full-text slides, and optional script annotation columns for video planning. Triggers on: canvas present, create presentation, build slide deck, canvas slides, make a presentation, presentation canvas, present from notes, slide deck canvas, canvas presentation.

Why use Canvas Present on TypingMind?

Because you install it once and use it with any model. Canvas Present is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Canvas Present in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-canvas/tree/main/skills/canvas-present. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Canvas Present?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Canvas Present?

As many as you like. As long as a model supports skills, you can use Canvas Present with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Canvas Present AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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