Map article titles to published URLs in Markdown files.
npx skills add https://github.com/rongarede/skill-snapshots --skill article-linker
Please help me install this Agent Skill. Skill: article-linker Source: https://github.com/rongarede/skill-snapshots/tree/main/writing/article-linker Command: npx skills add https://github.com/rongarede/skill-snapshots --skill article-linker
This skill maps article titles to their published URLs, enabling quick, clickable references across documents.
Use the article-linker to query a single title, batch process a list of titles, or scan a Markdown file to replace titles with links.
High-intent search queries and answers about installing and using this skill.
You can map article titles to URLs by running a Python linker script that queries a local platform data store. The script supports single-title queries, batch lookups via JSON arrays, and full-document scans to replace bare titles with clickable links.
Yes, you can batch look up article URLs by passing a JSON array of titles to the Python linker script. The script resolves all listed titles to their published links for bulk editing and quick reference.
No, you do not need external dependencies to replace bare article titles with links. The linker script operates using only the standard Python library and a local platform data store to resolve titles to published URLs.
The best way to automate adding published links to a knowledge base is to run a full-document scan on Markdown files. The script identifies uncited article titles and replaces them with proper published links to improve document navigation and credibility.
Article titles may not resolve to published links if they do not exactly match the entries in the local platform data store. The linker script requires exact title matches to successfully map titles to their corresponding published URLs.
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