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Quip To Gitlab Wiki

  • 19 installs
  • 41 repo stars
  • Updated July 6, 2026
  • aws-samples/sample-agent-skills-for-builders

quip-to-gitlab-wiki is a Claude skill that migrates Quip documents into a GitLab Wiki, converting HTML to Markdown and preserving embedded images and video.

About

This skill migrates Quip documents into a GitLab Wiki while preserving content and media. A developer uses it to convert Quip HTML to Markdown, download embedded images, compress videos, and push the results into a GitLab Wiki with organized navigation. It also configures a GitLab MCP for future edits.

  • Migrates Quip documents to GitLab Wiki with content preserved
  • Converts HTML to Markdown and preserves embedded images and video
  • Compresses video (MOV to MP4 at 720p) and organizes wiki navigation

Quip To Gitlab Wiki by the numbers

  • 19 all-time installs (skills.sh)
  • Ranked #1,011 of 1,879 Documentation skills by installs in the Skillselion catalog
  • Data as of Jul 30, 2026 (Skillselion catalog sync)
At a glance

quip-to-gitlab-wiki capabilities & compatibility

Capabilities
gitlab docs publishing · documentation
Works with
gitlab
Use cases
documentation
Pricing
Free
From the docs

What quip-to-gitlab-wiki says it does

Migrate Quip documents to GitLab Wiki with full content preservation.
SKILL.md
Migrate Quip documents to GitLab Wiki with full content and media preservation.
SKILL.md
Video compression (MOV→MP4 at 720p)
SKILL.md
npx skills add https://github.com/aws-samples/sample-agent-skills-for-builders --skill quip-to-gitlab-wiki

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Listed on Skillselion
Installs19
repo stars41
Last updatedJuly 6, 2026
Repositoryaws-samples/sample-agent-skills-for-builders

What it does

Migrate Quip documents into a GitLab Wiki, converting HTML to Markdown and preserving embedded images and video.

Who is it for?

Teams migrating documentation from Quip into a GitLab Wiki.

When should I use this skill?

When converting Quip docs to a wiki, migrating documentation, or setting up a GitLab wiki from Quip sources.

What you get

Quip docs are converted to Markdown, pushed to GitLab Wiki with images and compressed video preserved and navigation organized.

  • Markdown wiki pages in GitLab
  • downloaded images and compressed videos
  • organized wiki navigation

By the numbers

  • 5-step migration flow
  • video compressed MOV to MP4 at 720p

Files

SKILL.mdMarkdownGitHub ↗

Quip to GitLab Wiki Migration

Migrate Quip documents to GitLab Wiki with full content and media preservation.

When to Apply

Reference this skill when:

  • Migrating Quip documents to GitLab
  • Converting documentation to wiki format
  • Preserving embedded images and videos
  • Setting up GitLab wiki structure

How It Works

1. Gather Sources - Collect Quip URLs and tokens 2. Convert - Transform Quip HTML to Markdown 3. Push - Upload to GitLab Wiki 4. Configure - Set up GitLab MCP for future edits 5. Structure - Organize wiki navigation

Prerequisites

  • Quip API token
  • GitLab project with wiki enabled
  • Python 3.8+ with html2text
  • ffmpeg (for video compression)

Usage

# Convert Quip document (token from environment)
export QUIP_TOKEN="your_token_here"
python scripts/quip-to-markdown.py <thread_id> <output_dir>

# Push to GitLab wiki
./scripts/push-to-wiki.sh <wiki_git_url> <content_dir> <page_path> <quip_url>

Conversion Features

  • HTML to Markdown via html2text
  • Embedded image download
  • Video compression (MOV→MP4 at 720p)
  • Asset organization in uploads/

Wiki Structure

wiki/
├── Home.md
├── Section-Name/
│   ├── _index.md
│   └── Page-Name.md
└── uploads/
    ├── image1.png
    └── video1.mp4

Image Path Rules

Page LocationImage Path
Root pagesuploads/image.png
Section pages../uploads/image.png
Nested pages../../uploads/image.png

References

  • GitLab MCP Configuration

Related skills

FAQ

Is embedded media preserved during migration?

Yes. Embedded images are downloaded and videos are compressed (MOV to MP4 at 720p) so content and media are preserved.

What is needed to run the migration?

A Quip API token, a GitLab project with wiki enabled, Python 3.8+ with html2text, and ffmpeg for video compression.

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