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Report To Google Slides

Community
ahang1598
report-to-google-slides

Narrow conversion skill. Invoke only when the user explicitly asks to convert an existing HTML analytics report into a native Google Slides deck.

Overview

Publisherahang1598
Repositorydoubao-workbuddy-qwenwork-skills
Skill namereport-to-google-slides
Stars
90
Forks
35
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by ahang1598 on GitHub. Read the source before you install it.

Installation

Install the Report To Google Slides 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/ahang1598/doubao-workbuddy-qwenwork-skills/tree/main/chatgpt/plugins/openai-curated-remote/data-analytics/0.2.8-13ceeea1f599/skills/build-report/report-to-google-slides
  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/ahang1598/doubao-workbuddy-qwenwork-skills.git /tmp/doubao-workbuddy-qwenwork-skills
mkdir -p .claude/skills
cp -r /tmp/doubao-workbuddy-qwenwork-skills/chatgpt/plugins/openai-curated-remote/data-analytics/0.2.8-13ceeea1f599/skills/build-report/report-to-google-slides .claude/skills/report-to-google-slides
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Report To Google Slides 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 Report To Google Slides 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 Report To Google Slides 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.

Report To Google Slides

Use this skill only when the user explicitly has an existing HTML analytics report and wants a Google Slides deliverable. The output should be a deck, not a pasted report. A stakeholder skimming the slides should understand the answer, evidence, caveats, and recommended follow-up without opening the source report.

This skill consumes an HTML report. It does not convert a live MCP app report directly; if only an MCP app report exists, build a separate HTML delivery from the same canonical artifact evidence with $build-report's portable builder first.

Workflow

  1. Resolve the local HTML report.

    Use an absolute file path. If the user provides a remote report, retrieve it outside this skill first. If the local file is a sign-in page, redirect page, or very small stub, stop and obtain the real report before continuing.

  2. Run the helper.

    bash
    python3 <REPORT_TO_GOOGLE_SLIDES_SKILL_DIR>/scripts/report_to_google_slides.py \
      <LOCAL_HTML_REPORT_PATH> \
      --out-dir /tmp/report_to_google_slides
  3. Inspect local outputs.

    Required outputs:

    • deck.pptx: editable local PowerPoint file
    • manifest.json: parsed source inventory and coverage counts
    • deck_plan.json: slide-by-slide plan with named elements
    • preflight_checks.json: local quality checks and pass/fail status
    • assets/: rendered chart images

    Do not import the PPTX until preflight_checks.json has status: "passed". Then run unzip -t <out-dir>/deck.pptx.

  4. Import and verify in Google Slides.

    Import deck.pptx with mcp__codex_apps__google_drive._import_presentation using upload_mode="native_google_slides". Verify the imported deck with _get_presentation_outline and _get_slide_thumbnail for every slide when possible. At minimum, inspect the cover, one chart slide, one table slide, and the caveats/sources slides.

  5. Repair before handoff.

    If thumbnails show clipped text, missing charts, low contrast, blank images, or awkward sizing, revise the helper output or source assumptions and regenerate before handing off the deck URL.

  6. Hand off the deck.

    Return the Google Slides URL and, when useful, the local PPTX path or source HTML path. Keep routine check, preflight, thumbnail-inspection, and import-check details in support artifacts. Do not list internal checks in the user-facing handoff unless a check failed, was unavailable, or produced a user-relevant caveat.

Standards

  • Preserve the report's decision-critical information: headline claim, executive summary, major findings, metric definitions, material charts, decision-critical tables, recommendations, implications, caveats, assumptions, freshness notes, and source/provenance notes.
  • Translate report prose into slide-native communication. Lead with the takeaway, use one main idea per slide, and put supporting detail in concise callouts, bullets, tables, chart annotations, or speaker notes.
  • Tighten copy before shrinking fonts.
  • Keep gross metric reads, net/incremental reads, causal claims, and caveats visibly separated when the source report distinguishes those lenses.
  • Use editable text and native PPTX tables wherever practical. Use native PPTX bullets; do not fake bullets with typed dashes.
  • Preserve source charts as evidence images. Do not screenshot the whole HTML report or paste whole report sections.
  • Support self-contained portable-builder reports whose native charts and builder-generated semantic chart-data representations remain available to the conversion helper; the helper renders faithful local chart evidence images before building the deck.
  • Use one chart per evidence slide unless the report has a stronger grouped comparison.
  • Keep table slides legible. If a full table is too dense, keep the main comparison in the deck and move extra detail to speaker notes or source slides.
  • Source notes should be visible but quiet.

Visual System

The helper derives colors and hierarchy from the HTML report CSS and chart palette, then applies a restrained analytics deck layout. It does not follow external deck files or company-specific branding.

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 Report To Google Slides AI skill do?

Narrow conversion skill. Invoke only when the user explicitly asks to convert an existing HTML analytics report into a native Google Slides deck.

Why use Report To Google Slides on TypingMind?

Because you install it once and use it with any model. Report To Google Slides 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 Report To Google Slides in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ahang1598/doubao-workbuddy-qwenwork-skills/tree/main/chatgpt/plugins/openai-curated-remote/data-analytics/0.2.8-13ceeea1f599/skills/build-report/report-to-google-slides. 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 Report To Google Slides?

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 Report To Google Slides?

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

Is the Report To Google Slides AI skill free?

It is published on GitHub by ahang1598. Check the repository for licensing terms. 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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