Clean and normalize markdown links by removing UTM parameters and resolving redirects.
npx skills add https://github.com/maeste/artificialcode --skill clean-links
Please help me install this Agent Skill. Skill: clean-links Source: https://github.com/maeste/artificialcode/tree/main/.claude/skills/clean-links Command: npx skills add https://github.com/maeste/artificialcode --skill clean-links
Clean and organize links extracted from markdown documents used in the codiceartificiale newsletter. It removes UTM parameters, resolves redirects, cleans beehiiv links, generates richer per-link descriptions, and categorizes links thematically to streamline editorial workflows.
Use the clean-links skill on a markdown document containing links. Example:
High-intent search queries and answers about installing and using this skill.
To remove UTM parameters and resolve redirects in markdown links, use this skill to normalize URLs, strip tracking codes, and fetch final destination links for clean newsletter formatting.
Yes, you can clean beehiiv referral links and generate enhanced per-link descriptions by processing markdown documents containing multiple links, requiring web access to fetch page content.
The best way to categorize newsletter links thematically is by processing the markdown file through this skill, which automatically groups links into thematic categories for streamlined editorial workflows.
Yes, clean-links requires web access via the web_reader MCP to fetch page content for generating per-link descriptions and resolving final destination URLs after redirects.
To normalize markdown links without manual editing, run this skill on your document to automatically remove UTMs, resolve redirects, clean beehiiv links, and enrich descriptions.
Use a link cleaning tool for markdown newsletters when handling documents with multiple links, redirect chains, and UTM parameters that require automated categorization and description enhancement.
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