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Slides Grab Plan

OrganizationPopular
NomaDamas
slides-grab-plan

Stage 1 planning skill usable in Codex and Claude Code. Build and iterate slide-outline.md until explicit user approval.

Overview

PublisherNomaDamas
Repositoryslides-grab
Skill nameslides-grab-plan
Stars
1.2K
Forks
135
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Slides Grab Plan 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.
  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/NomaDamas/slides-grab.git /tmp/slides-grab
mkdir -p .claude/skills
cp -r /tmp/slides-grab/skills/slides-grab-plan .claude/skills/slides-grab-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Slides Grab Plan 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 Slides Grab Plan 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 Slides Grab Plan 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.

slides-grab Plan Skill

Use this when the user asks to start a new presentation from scratch.

Goal

Produce an approved slide-outline.md before any slide HTML generation.

Inputs

  • Topic and intent
  • Audience
  • Tone and constraints
  • Optional research findings

Output

  • slide-outline.md (must include style: <id>, style: template-pack, or an approved custom style direction in meta section)
  • For chart-heavy decks, explicit chart slide notes: chart type, data source, key comparison, and whether the design stage should use the default Chart.js canvas template.

Workflow

  1. Analyze user goal and audience.
  2. Style selection (mandatory, before outline): Four paths are accepted, in priority order: a. Imported template pack — when the user provides a corporate deck, reference slides, HTML examples, or brand images, run slides-grab import-template --input <path> --slides-dir <slides-dir> (repeat --input for multiple examples). Prefer filled representative decks/examples over empty master templates: filled examples reveal density, schema field limits, font resolution, and layout stress cases; an empty master alone is insufficient. Confirm the generated <slides-dir>/.slides-grab/template-pack.json is the intended reference source. Record as style: template-pack. b. Bundled style — run slides-grab list-styles, shortlist 2–3 styles, and get explicit user approval. Optionally offer slides-grab preview-styles for visual preview. Record as style: <id>. c. Custom DESIGN.md path — if a local DESIGN.md exists (e.g. provided directly or fetched via slides-grab import-design <https-url>), inspect it with slides-grab show-design ./DESIGN.md and confirm with the user. d. Free-form custom direction — if neither imported template pack, bundled style, nor DESIGN.md fits, propose a written custom direction and get approval.
  3. DESIGN.md → DESIGN.slides.md conversion (mandatory when path 2c was chosen):
    • A DESIGN.md imported from voltagent/awesome-design-md or similar sources describes a marketing website (top-nav, hero-band, CTA buttons, pricing cards, footer-band). Slides are single 720pt × 405pt frames with no scroll, no nav, no clicks — copying web components into slides produces deck pages that look like landing pages.
    • Read references/design-md-to-slides-conversion.md for the canonical conversion guide.
    • Translate the imported ./DESIGN.md into a sibling ./DESIGN.slides.md next to it. Leave the original DESIGN.md untouched. The DESIGN.slides.md MUST follow the Output Contract in the reference and apply every row of the web → slide mapping table (top-nav → eyebrow strip, hero-band → cover layout, CTA buttons → kicker text, footer-band → thin footer strip, pricing grids → dropped, etc.).
    • Present a 5–10 line summary of the conversion to the user (kept tokens + dropped web sections + new slide layouts inferred) and wait for explicit approval before continuing.
    • After approval, run slides-grab show-design ./DESIGN.slides.md to confirm the parser reads it cleanly.
  4. Create or revise slide-outline.md with ordered slides and key messages. Record the approved style reference in the meta section:
    • bundled style → style: <id>
    • converted DESIGN.slides.md → style: ./DESIGN.slides.md
    • imported template pack → style: template-pack and keep <slides-dir>/.slides-grab/template-pack.json with its .slides-grab/template-previews/ assets
    • free-form custom direction → leave a one-paragraph style: block describing it
    • for chart slides, name the intended chart type and data payload in the slide notes so Stage 2 can build a real Chart.js canvas instead of placeholder bars or decorative pseudo-charts
    • delivery mode → mode: html for semantic slide HTML, or mode: image-native for raster wrapper slides generated from the approved template/style; prefer image-native for existing corporate templates/forms when the user asks for visual matching rather than editable HTML 4b. Image-native outline density (mandatory when mode: image-native and a template is provided): When the user provides a reference template (PDF/PPTX) for image-native generation, do NOT write a thin HTML-style outline. Instead:
    • Render the template pages to PNG and open them in order (page-01, page-02, ...).
    • For each template page, identify its layout type (cover, section divider, content grid, stat tiles, table, timeline, closing) and measure its information density — how many distinct text blocks, data points, bullets, captions, and visual elements it carries.
    • Write one outline slide per template page (or per logical template section), matching that page's layout type and information volume. If template page 3 has a 2×3 stat grid with 6 data points and 3 captions, the corresponding outline slide must also list 6 data points and 3 captions — not just a one-line summary.
    • Image-native slides are single raster images with no HTML structure constraints, so they can hold more text and data per slide than semantic HTML. Pack the outline with the full content the user wants on each slide — titles, subtitles, body paragraphs, bullet lists, data tables, stat values, captions, and image placement notes — at the density the template page demonstrates.
    • Tag each outline slide with its matching template page number (e.g. template-page: 03) so Stage 2 knows which --reference image to pass.
    • The result should be a noticeably denser outline than HTML mode: more bullets, more data, more text per slide, matching what the template's filled pages actually carry.
  5. Present a concise summary to user.
  6. Repeat revisions until explicit approval.

Rules

  • Do not write the outline before the user approves a style. Style selection comes first.
  • Do not generate slide HTML (<slides-dir>/slide-*.html) in this stage.
  • Keep scope to structure, narrative, and style selection.
  • For quantitative stories, plan charts as evidence: identify the source values, comparison axis, baseline, and intended takeaway. Do not invent filler metrics just to fill a chart.
  • Ask for approval before moving to design.
  • Assume later stages run through the packaged slides-grab CLI.
  • Use the packaged CLI and bundled references only; do not depend on unpublished agent-specific files.

Reference

If needed, use the bundled outline reference:

  • references/outline-format.md
  • references/plan-workflow-reference.md — archived detailed planning workflow and runtime-neutral outline-worker guidance
  • references/design-md-to-slides-conversion.md — DESIGN.md (web) → DESIGN.slides.md (slide) translation guide, including the structured output template and the web → slide mapping table

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Slides Grab Plan AI skill do?

Stage 1 planning skill usable in Codex and Claude Code. Build and iterate slide-outline.md until explicit user approval.

Why use Slides Grab Plan on TypingMind?

Because you install it once and use it with any model. Slides Grab Plan 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 Slides Grab Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NomaDamas/slides-grab/tree/main/skills/slides-grab-plan. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Slides Grab Plan?

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 Slides Grab Plan?

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

Is the Slides Grab Plan AI skill free?

Yes. It is published on GitHub by NomaDamas 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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