Identify alignment gaps between manuscript Markdown and Excel outlines.
npx skills add https://github.com/glfruit/gorin-skills --skill edu-outline-review
Please help me install this Agent Skill. Skill: edu-outline-review Source: https://github.com/glfruit/gorin-skills/tree/main/openclaw/edu-outline-review Command: npx skills add https://github.com/glfruit/gorin-skills --skill edu-outline-review
This skill helps researchers and editors verify that a manuscript's Markdown structure aligns with a formal Excel outline, surfacing missing modules, misordered sections, and coverage gaps.
Run the outline-review tool with your manuscript Markdown and the Excel outline to generate a compliance report.
High-intent search queries and answers about installing and using this skill.
To check manuscript alignment, map Markdown headings to Excel outline modules to identify coverage gaps and flag misalignments. This process surfaces missing modules and misordered sections, generating a structured compliance report with actionable remediation suggestions.
Manuscript review reports show missing knowledge points when automated module mapping detects coverage gaps between Markdown content and Excel outline constraints. Placeholder scanning enforces strict compliance, identifying sections where required knowledge points or objectives are absent.
Yes, you need openpyxl installed to run automated outline compliance reporting because the tool processes Excel outline files locally. This dependency enables the extraction of outline constraints and module mapping required for generating the review report.
The best way to audit drafts for outline compliance is running an automated review tool that maps manuscript Markdown structures against formal Excel outlines. This produces structured coverage metrics, identifies missing items, and provides actionable suggestions for remediation.
Automated header mapping limitations include strict dependency on local Excel outline and Markdown manuscript formats, meaning misalignments occur if headings deviate from predefined modules. It enforces rigid constraints like placeholder scanning rather than interpreting semantic content.
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