add

Fetch source URLs and save content into raw/ subdirectories with YAML frontmatter.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/tommy-fcy/labwiki --skill add-tommy-fcy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: add
Source: https://github.com/tommy-fcy/labwiki/tree/main/.claude/skills/add
Command: npx skills add https://github.com/tommy-fcy/labwiki --skill add-tommy-fcy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the process of fetching external sources and storing them into the appropriate raw/ subdirectory without performing any summarization or wiki processing.

Core Features & Use Cases

  • Zero-token downloads: Downloads are performed by an external script (tools/fetch.py) or fallbacks, leaving no LLM tokens used.
  • Structured storage: Automatically saves fetched content into raw/papers, raw/refs, or raw/experiments with YAML frontmatter.
  • Use Case: Collect research papers, notes, or web content into the wiki's raw storage for later ingestion.

Quick Start

Provide a URL and have the AI fetch it into the appropriate raw/ subdirectory using fetch.py.

Frequently Asked Questions about add

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

FAQPage Schema
How do I fetch web content into raw storage without using LLM tokens?

To fetch web content into raw storage with zero-token downloads, the Skill delegates the retrieval to an external script (fetch.py), saving the file directly into a raw/ subdirectory without consuming LLM tokens for the download process.

What is the best way to automatically save fetched papers and references with metadata?

Automatically saving fetched papers and references with metadata is handled by storing files under raw/papers or raw/refs and injecting YAML frontmatter containing source_url, type, title, and captured_at fields.

Can I use fetch.py to collect research papers for later ingestion into a wiki?

Yes, you can use fetch.py to collect research papers, notes, or web content into the wiki's raw storage directories for later ingestion, organizing them into raw/papers, raw/refs, or raw/experiments as appropriate.

Does the fetch process perform summarization or wiki processing on downloaded content?

No, the fetch process does not perform summarization or wiki processing; it strictly automates fetching external sources and storing them into the appropriate raw/ subdirectory in their original raw format.

What types of source URLs can I download into the raw experiments subdirectory?

You can download source URLs for papers, notes, experiments, and web content into the raw experiments subdirectory. The Skill evaluates the source and routes the file into raw/papers, raw/refs, or raw/experiments as appropriate.