jk-archivist-tiktok-skill
Generate deterministic 6-slide portrait PNG slideshow assets plus caption text for TikTok-style posting workflows, including reusable templates and a strict validation pipeline.
Why use this skill?
Generate consistent 6-slide portrait assets for TikTok with this deterministic, text-driven automation skill. Perfect for creators and brands.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/jk-archivist/jk-archivist-tiktok-packagerWhat This Skill Does
The jk-archivist-tiktok-skill is a specialized automation tool designed to generate high-quality, deterministic 6-slide portrait slideshows for short-form social media platforms like TikTok. By bypassing generative AI image creation in favor of a text-driven rendering pipeline, it ensures brand consistency and layout precision. The skill converts structured slide copy into standardized 1024x1536 PNG assets, complete with a comprehensive post-generation review system. It includes advanced features for template-based styling, audience-specific tone adjustment, and integrated workflow automation via Postiz.
Installation
To integrate this skill into your environment, use the OpenClaw repository manager:
- Run the installation command:
clawhub install openclaw/skills/skills/jk-archivist/jk-archivist-tiktok-packager - Ensure your system has the necessary dependencies by running
python3 -m pip install -r requirements.txt. - (Optional) Define a custom font for your brand by setting the environment variable:
export TIKTOK_FONT_PATH=/path/to/your/font.ttf.
Use Cases
- Educational Content: Quickly turn complex technical concepts or "how-to" guides into serialized 6-slide educational carousels.
- Product Updates: Automate the announcement of new features or patch notes into a visually standardized sequence, reducing design turnaround time.
- Creator Introductions: Standardize "About Me" or brand story sequences to ensure professional, readable, and highly accessible content across your social channels.
- Rapid A/B Testing: Utilize the built-in testing flags to experiment with different caption strategies and visual styles, allowing for data-driven social media growth.
Example Prompts
- "Generate a 6-slide educational carousel about Python list comprehensions using the 'clean' style and 'beginner' audience tone."
- "Create a product-update slide sequence for the latest v2.0 release, include a link-focused CTA, and upload it directly to Postiz."
- "Write an announcement sequence for our upcoming community event using the 'midnight' style; perform a dry-run first so I can review the slides."
Tips & Limitations
- Determinism: Because this skill relies on templates rather than generative image models, you receive the same consistent output every time. Leverage this to build a cohesive visual identity.
- Compliance: Use the
--dry-runflag frequently during initial setup to inspect the_slide_spec.jsonand contact sheets before committing to live uploads. - Postiz Integration: The Postiz upload feature simplifies the final step of the pipeline, but ensure your API credentials are configured correctly in the environment to avoid failures during the upload phase.
- Hardware: While low on overhead, rendering 6 high-resolution PNGs can be resource-intensive if processing large batches. Monitor your memory usage when running concurrent A/B test sequences.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-jk-archivist-jk-archivist-tiktok-packager": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, external-api