arm-learning-paths

Review Arm Learning Paths for structural soundness, task ownership, scope discipline, progression, validation, further reading placement, recap sections, and performance-learning integrity. Use when asked to review, create, reorganize, or assess the structure of content under content/learning-paths.

Review and improve Arm Learning Paths and install guides for SEO, GEO, AEO, search snippets, AI-agent selection, and answer-engine readiness. Use when asked to optimize discoverability, search intent, AI-readable structure, page titles, headings, summaries, or content selection signals beyond only front matter descriptions.

Review and improve writing style, voice, tone, readability, inclusive language, Arm terminology, heading style, word choice, and AI-sounding prose in Arm Learning Paths and install guides. Use when asked to polish prose, make content less AI-generated, improve clarity, or align with Arm editorial style.

Add or update structured Markdown and Hugo components in Arm Learning Paths and install guides. Use when asked to turn selected text into a link, table, notice, tab pane, code pane, shortcode block, or other repo-specific Markdown component while preserving surrounding content.

Toggle draft mode on a Learning Path _index.md. Use when: marking a learning path as draft, hiding a learning path from publication, adding draft: true to front matter, unpublishing or disabling a learning path, removing draft, publishing a learning path, taking a learning path out of draft.

Review and improve code samples, commands, command output, and fenced code blocks in Arm Learning Paths and install guides. Use when checking editorial formatting, technical accuracy, runnable commands, output lead-ins, code fence integrity, language tags, or token-heavy and unexplained code or output blocks.

Review and improve accessible Markdown link text in Arm Learning Paths and install guides. Use when asked to find vague links, fix link text such as here or click here, verify internal links, improve screen-reader clarity, or make links descriptive and task-focused.

Add or improve SEO-friendly front matter description fields for Arm Learning Paths and install guides. Use when asked to add missing descriptions, update weak metadata descriptions, optimize search snippets, or ensure Learning Path pages and install guides have accurate description metadata.

Audit YAML front matter and metadata for Arm Learning Paths and install guides. Use when checking required fields, fixed layout fields, duplicate weights, draft visibility metadata, closed-list metadata values, description presence or quality, YAML validity, and front matter consistency.

Audit and fix Markdown image alt text in Arm Learning Paths and install guides. Use when the user asks to review images, find deficient alt text, count faulty images, run project-level or path-level image audits, track before/after image quality, or update image alt text and captions against repository image guidance.

Review Arm install guides for structural soundness, installation-only scope, verification quality, OS-specific sections, troubleshooting, multi-page guide behavior, and version-note placement. Use when asked to review, create, reorganize, or assess content under content/install-guides.

Scan Arm Learning Paths and install guides for stale-content risk. Use when the user asks to periodically flag content that may need maintenance, freshness review, dependency drift review, screenshot or UI review, latest or unpinned version review, or a report of likely stale pages.

Add or verify draft metadata for new Arm Learning Paths and install guides before or after merge to main, so unreviewed content does not publish publicly. Use when asked to mark new content as draft, prepare new content for review, hide new Learning Paths or install guides from publication, or check draft metadata.