🎨 Creator Skill

The **Creator Skill** is responsible for generating visual and multi-media content to present and promote the results of the Croissant Toolkit.

7 stars

Best use case

🎨 Creator Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

The **Creator Skill** is responsible for generating visual and multi-media content to present and promote the results of the Croissant Toolkit.

Teams using 🎨 Creator Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/creator/SKILL.md --create-dirs "https://raw.githubusercontent.com/codata/croissant-toolkit/main/.gemini/skills/creator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/creator/SKILL.md inside your project
  3. Restart your AI agent β€” it will auto-discover the skill

How 🎨 Creator Skill Compares

Feature / Agent🎨 Creator SkillStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

The **Creator Skill** is responsible for generating visual and multi-media content to present and promote the results of the Croissant Toolkit.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 🎨 Creator Skill

The **Creator Skill** is responsible for generating visual and multi-media content to present and promote the results of the Croissant Toolkit.

## 🌟 Key Features
1. **Dynamic Slideshows**: Automatically generates high-quality visual presentations from toolkit data.
2. **Animated Intros**: Creates short (10-15s) animated sequences for demos and hackathon pitches.
3. **Markdown-to-Movie**: Transform structured `.md` slide decks (from `presentation_expert`) into high-quality MP4 movies with highlights and professional styling.
4. **High-Tech Aesthetic**: Uses AI-generated visuals to maintain a premium, futuristic look.

## πŸ› οΈ Components
- `create_video.py`: The core script for stitching assets into a presentation.
- `markdown_to_video.py`: High-quality Markdown-to-MP4 converter.
- `assets/`: Directory containing high-fidelity slides and icons.

## πŸš€ Usage
### Generating the toolkit intro:
```bash
python3 .gemini/skills/creator/scripts/create_video.py
```

### Converting a Markdown deck to Movie:
```bash
python3 .gemini/skills/creator/scripts/markdown_to_video.py path/to/slides.md --output final_movie.mp4
```

Results are saved in `.gemini/skills/creator/video_output/`.

Related Skills

walker

7
from codata/croissant-toolkit

Deep crawl functionality that extracts and visits internal links from a webpage.

orchestrator_expert

7
from codata/croissant-toolkit

Orchestrator agent that has comprehensive knowledge and command over all available skills in this toolkit to create complex workflows.

neo4j_expert

7
from codata/croissant-toolkit

Store and query Croissant datasets in a Neo4j Graph Database for relational discovery and semantic search.

youtuber

7
from codata/croissant-toolkit

Search for videos on YouTube based on specific keywords. Get list of videos with title, description, and URL.

wizard

7
from codata/croissant-toolkit

The ultimate data integrator. Orchestrates transcription, translation, NLP analysis, and Croissant serialization into a single automated pipeline.

unf

7
from codata/croissant-toolkit

Universal Numeric Fingerprint (UNF) generator. For strings, it splits into words and sorts them alphabetically to provide order-invariant fingerprints. Supports dataframes and files too.

translator

7
from codata/croissant-toolkit

Recognize the language of input content or video scripts and translate them precisely into English using Gemini 3.

transcriber

7
from codata/croissant-toolkit

Fetch and store transcripts from YouTube videos for deep content analysis.

telegram_expert

7
from codata/croissant-toolkit

Send results and notifications to Telegram channels or users.

rohub

7
from codata/croissant-toolkit

Deposit research objects and add semantic annotations to the RO-Hub portal using the rohub library.

ro-crate-expert

7
from codata/croissant-toolkit

Specialized in creating RO-Crate packages from Dataverse metadata, with integrated ODRL-based DID (Decentralized Identifier) attribution and provenance via the ro-crate-py library.

πŸ“Š Presentation Expert Skill

7
from codata/croissant-toolkit

The **Presentation Expert** is responsible for transforming complex research data, metadata, and insights into high-impact presentation decks.