ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified social Safety 4/5

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.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/jk-archivist/jk-archivist-tiktok-packager
Or

What 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:

  1. Run the installation command: clawhub install openclaw/skills/skills/jk-archivist/jk-archivist-tiktok-packager
  2. Ensure your system has the necessary dependencies by running python3 -m pip install -r requirements.txt.
  3. (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

  1. "Generate a 6-slide educational carousel about Python list comprehensions using the 'clean' style and 'beginner' audience tone."
  2. "Create a product-update slide sequence for the latest v2.0 release, include a link-focused CTA, and upload it directly to Postiz."
  3. "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-run flag frequently during initial setup to inspect the _slide_spec.json and 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

Stars1947
Views0
Updated2026-03-04
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-jk-archivist-jk-archivist-tiktok-packager": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#tiktok#automation#social-media#slideshow#content-creation
Safety Score: 4/5

Flags: file-write, file-read, external-api