cascade-load-linked-resource-content

To fetch Jira and Confluence content for downstream analysis, provide the URLs to this skill. It retrieves the raw content, saves it locally as markdown with YAML frontmatter, and updates the loading manifest with newly discovered links for iterative processing.

Yes, you can extract linked resources from multiple Google Docs and Google Sheets simultaneously. The skill processes one or more URLs, saves the fetched content under a local context directory, and automatically surfaces newly discovered links for the next loading cycle.

The best way to prepare source content for automated question generation is to use a deterministic loading process that fetches raw URL content and saves it as markdown. This skill serves as a building block to prepare data for parent workflows like generate-questions.

Yes, fetching linked resources requires the Cascade MCP tool. The skill uses the extract-linked-resources MCP tool to retrieve raw content from specified URLs and saves the results locally under a temporary context directory for iterative loading.

Newly discovered links are handled by updating the to-load manifest during the resource loading process. The skill saves fetched content locally and appends any newly discovered URLs to the manifest, enabling iterative processing across parent workflows.