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Slides

Organization
marswaveai
slides

Create slide decks from topics, URLs, or text. Triggers on: "幻灯片", "PPT", "slides", "slide deck", "做幻灯片", "create slides", "presentation".

Overview

Publishermarswaveai
Repositoryskills
Skill nameslides
Stars
82
Forks
3
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 marswaveai on GitHub. Read the source before you install it.

Installation

Install the 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/marswaveai/skills/tree/main/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/marswaveai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/slides .claude/skills/slides
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

When to Use

  • User wants to create a slide deck or presentation
  • User asks for "slides", "幻灯片", "PPT", or "presentation"
  • User wants visual content organized into slides from a topic or URL

When NOT to Use

  • User wants a narrated video without slides (use /explainer)
  • User wants audio-only content (use /speech or /podcast)
  • User wants a podcast-style discussion (use /podcast)
  • User wants to generate a standalone image (use /image-gen)

Purpose

Generate slide decks with AI-generated visuals from topics, URLs, or text. By default, slides are generated without audio narration. Narration can be optionally enabled. Ideal for presentations, summaries, and visual storytelling.

Hard Constraints

  • Always read config following shared/config-pattern.md before any interaction
  • Follow shared/cli-patterns.md for execution modes, error handling, and interaction patterns
  • Always follow shared/cli-authentication.md for auth checks
  • Follow shared/speaker-selection.md when narration is enabled
  • Never hardcode speaker IDs — always fetch from the speakers CLI when the user wants to change voice
  • Never save files to ~/Downloads/ or .listenhub/ — save artifacts to the current working directory with friendly topic-based names (see shared/config-pattern.md § Artifact Naming)
  • Mode is always slides — never info or story (those are for /explainer)
  • Only 1 speaker supported (when narration is enabled)
  • Default behavior: skip audio (no narration). Only add narration when the user explicitly requests it via --no-skip-audio

Step -1: CLI Auth Check

Follow shared/cli-authentication.md. If the CLI is not installed or the user is not logged in, auto-install and auto-login — never ask the user to run commands manually.

Step 0: Config Setup

Follow shared/config-pattern.md Step 0 (Zero-Question Boot).

If file doesn't exist — silently create with defaults and proceed:

bash
mkdir -p ".listenhub/slides"
echo '{"outputMode":"inline","language":null,"defaultSpeakers":{}}' > ".listenhub/slides/config.json"
CONFIG_PATH=".listenhub/slides/config.json"
CONFIG=$(cat "$CONFIG_PATH")

Do NOT ask any setup questions. Proceed directly to the Interaction Flow.

If file exists — read config silently and proceed:

bash
CONFIG_PATH=".listenhub/slides/config.json"
[ ! -f "$CONFIG_PATH" ] && CONFIG_PATH="$HOME/.listenhub/slides/config.json"
CONFIG=$(cat "$CONFIG_PATH")

Setup Flow (user-initiated reconfigure only)

Only run when the user explicitly asks to reconfigure. Display current settings:

当前配置 (slides):
  输出方式:{inline / download / both}
  语言偏好:{zh / en / 未设置}
  默认主播:{speakerName / 使用内置默认}

Then ask:

  1. outputMode: Follow shared/output-mode.md § Setup Flow Question.

  2. Language (optional): "默认语言?"

    • "中文 (zh)"
    • "English (en)"
    • "每次手动选择" → keep null

After collecting answers, save immediately:

bash
NEW_CONFIG=$(echo "$CONFIG" | jq --arg m "$OUTPUT_MODE" '. + {"outputMode": $m}')
echo "$NEW_CONFIG" > "$CONFIG_PATH"
CONFIG=$(cat "$CONFIG_PATH")

Interaction Flow

Step 1: Topic / Content

Free text input. Ask the user:

What would you like to create slides about?

Accept: topic description, text content, URL(s), or any combination.

Step 2: Language

If config.language is set, pre-fill and show in summary — skip this question. Otherwise ask:

Question: "What language?"
Options:
  - "Chinese (zh)" — Content in Mandarin Chinese
  - "English (en)" — Content in English
  - "Japanese (ja)" — Content in Japanese

Step 3: Narration

Ask:

Question: "需要语音旁白吗?(默认否)"
Options:
  - "不需要" — Slides only, no narration
  - "需要" — Add voice narration to slides

Default is no narration. If the user says yes, proceed to Step 4. Otherwise skip to Step 5.

Step 4: Speaker Selection (only if narration enabled)

Skip this step entirely if narration is not enabled.

Follow shared/speaker-selection.md:

  • If config.defaultSpeakers.{language} is set → use saved speaker silently
  • If not set → use built-in default from shared/speaker-selection.md for the language
  • Show the speaker in the confirmation summary (Step 5) — user can change from there if desired
  • Only show the full speaker list if the user explicitly asks to change voice

Only 1 speaker is supported for slides narration.

Step 5: Confirm & Generate

Summarize all choices:

Without narration:

Ready to generate slides:

  Topic: {topic}
  Language: {language}
  Narration: No

  Proceed?

With narration:

Ready to generate slides:

  Topic: {topic}
  Language: {language}
  Narration: Yes
  Speaker: {speaker name}

  Proceed?

Wait for explicit confirmation before running any CLI command.

Workflow

  1. Submit (background): Run the CLI command with run_in_background: true and timeout: 660000:

    Without narration (default):

    bash
    listenhub slides create \
      --query "{topic}" \
      --lang {en|zh|ja} \
      --image-size 2K \
      --aspect-ratio 16:9 \
      --timeout 600 \
      --json

    With narration:

    bash
    listenhub slides create \
      --query "{topic}" \
      --lang {en|zh|ja} \
      --image-size 2K \
      --aspect-ratio 16:9 \
      --no-skip-audio \
      --speaker "{name}" \
      --timeout 600 \
      --json

    If the user provided a source URL, add --source-url "{url}".

    The CLI handles polling internally and returns the final result when generation completes.

  2. Tell the user the task is submitted and that they will be notified when it finishes.

  3. When notified of completion, parse and present the result:

    Parse the CLI JSON output for key fields:

    bash
    EPISODE_ID=$(echo "$RESULT" | jq -r '.episodeId')
    AUDIO_URL=$(echo "$RESULT" | jq -r '.audioUrl // empty')
    CREDITS=$(echo "$RESULT" | jq -r '.credits // empty')

    Read OUTPUT_MODE from config. Follow shared/output-mode.md for behavior.

    Without narration:

    inline or both: Present the online link.

    幻灯片已生成!
    
    在线查看:https://listenhub.ai/app/slides/{episodeId}
    消耗积分:{credits}

    download or both: Also save the script file. Generate a topic slug following shared/config-pattern.md § Artifact Naming.

    • Save as {slug}-slides.md in cwd (dedup if exists)
    • Present the save path in addition to the above summary.

    With narration:

    inline or both: Display audio URL as a clickable link.

    幻灯片已生成!
    
    在线查看:https://listenhub.ai/app/slides/{episodeId}
    音频链接:{audioUrl}
    消耗积分:{credits}

    download or both: Also save files. Generate a topic slug following shared/config-pattern.md § Artifact Naming.

    • Create {slug}-slides/ folder (dedup if exists)
    • Write script.md inside
    • Download audio:
      bash
      curl -sS -o "{slug}-slides/audio.mp3" "{audioUrl}"
    • Present:
      已保存到当前目录:
        {slug}-slides/
          script.md
          audio.mp3

After Successful Generation

Update config with the choices made this session:

bash
NEW_CONFIG=$(echo "$CONFIG" | jq \
  --arg lang "{language}" \
  '. + {"language": $lang}')
echo "$NEW_CONFIG" > "$CONFIG_PATH"

If narration was used, also save the speaker:

bash
NEW_CONFIG=$(echo "$CONFIG" | jq \
  --arg lang "{language}" \
  --arg speakerId "{speakerId}" \
  '. + {"language": $lang, "defaultSpeakers": (.defaultSpeakers + {($lang): [$speakerId]})}')
echo "$NEW_CONFIG" > "$CONFIG_PATH"

Estimated times:

  • Slides without narration: 2-4 minutes
  • Slides with narration: 4-8 minutes

Resources

  • CLI authentication: shared/cli-authentication.md
  • CLI patterns: shared/cli-patterns.md
  • Speaker query: shared/cli-speakers.md
  • Speaker selection guide: shared/speaker-selection.md
  • Config pattern: shared/config-pattern.md
  • Output mode: shared/output-mode.md

Composability

  • Invokes: speakers CLI (for speaker selection when narration enabled)
  • Invoked by: content-planner (Phase 3)

Example

User: "帮我做一个关于量子计算的幻灯片"

Agent workflow:

  1. Topic: "量子计算"
  2. Language: pre-filled from config or ask → "zh"
  3. Narration: ask → "不需要"
  4. Confirm and generate
bash
listenhub slides create \
  --query "量子计算" \
  --lang zh \
  --image-size 2K \
  --aspect-ratio 16:9 \
  --timeout 600 \
  --json

Wait for CLI to return result, then present the online link.

User: "Create slides about React hooks with narration"

Agent workflow:

  1. Topic: "React hooks"
  2. Language: ask → "en"
  3. Narration: ask → "需要"
  4. Speaker: use built-in default for English
  5. Confirm and generate
bash
listenhub slides create \
  --query "React hooks" \
  --lang en \
  --image-size 2K \
  --aspect-ratio 16:9 \
  --no-skip-audio \
  --speaker "Mars" \
  --timeout 600 \
  --json

Wait for CLI to return result, then present the online link and audio link.

Frequently asked questions

What does the Slides AI skill do?

Create slide decks from topics, URLs, or text. Triggers on: "幻灯片", "PPT", "slides", "slide deck", "做幻灯片", "create slides", "presentation".

Why use Slides on TypingMind?

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

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

Which AI models can use 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 Slides?

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

Is the Slides AI skill free?

Yes. It is published on GitHub by marswaveai 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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