glk-add

Publish URLs, files, and media into searchable sentence-addressable HTML units.

99|8|Updated Apr 5, 2026
One-click install
npx skills add https://github.com/Talegorithm/Glynk --skill glk-add
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: glk-add
Source: https://github.com/Talegorithm/Glynk/tree/main/skills/glk-add
Command: npx skills add https://github.com/Talegorithm/Glynk --skill glk-add

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, and includes scripts (resource) components.

What problem does it solve?

This skill solves the fragmentation of knowledge by transforming raw content—URLs, documents, and media—into structured, sentence-addressable units that both humans and AI agents can read, annotate, and search.

Core Features & Use Cases

  • Multi-format Ingestion: Supports URLs, local files (PDF, EPUB, MD), and media (audio/video) with automatic transcription and timestamp alignment.
  • Smart Updates: Uses content hashing and versioning to update existing publications while preserving user annotations and reading progress.
  • Use Case: You can upload a technical paper or a long podcast episode, and the system will automatically process it into a clean, searchable format that your AI agent can reference for precise insights.

Quick Start

Use the glk-add skill to upload the local markdown file post.md to your Glynk instance using your configured API token.

Frequently Asked Questions about glk-add

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I upload local markdown files and URLs to an AI-ready knowledge base?

To publish local markdown files and URLs into a knowledge base, you ingest content directly into a centralized system that creates sentence-addressable HTML units. This requires valid API authentication to ensure your AI agent can read and search the centralized content.

How does media transcription work when adding audio or video files to a knowledge base?

Media transcription for knowledge bases works by automatically processing audio and video inputs into sentence-addressable units with timestamp alignment. The system transforms spoken media into structured, searchable formats that AI agents can reference for precise insights.

Do I need ffmpeg to process audio and video transcription for content publishing?

Yes, you need ffmpeg to process audio and video transcription for content publishing. It is a required dependency for handling media ingestion, automatic transcription, and timestamp alignment when creating searchable knowledge units from your media files.

Can I update existing publications without losing my reading progress and annotations?

Yes, you can update existing publications without losing annotations and reading progress. The system uses content hashing and versioning to support idempotent updates, maintaining annotation integrity across new content versions automatically.

What's the best way to structure fragmented content for AI agent consumption?

The best way to structure fragmented content for AI agent consumption is transforming raw URLs, documents, and media into centralized, sentence-addressable units. This enables both humans and AI agents to read, annotate, and search the unified knowledge base.

What file formats can I ingest for automatic transcription and knowledge management?

You can ingest URLs, local files like PDF, EPUB, and MD, alongside audio and video media for automatic transcription. These formats are processed into sentence-addressable HTML units for your AI agent to search and reference.