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audit-content

Comprehensive content quality and maintenance assessment. Evaluates documentation quality, relevance, maintenance needs, and provides actionable recommendations.

Install with Tessl CLI

npx tessl i github:dandye/ai-runbooks --skill audit-content
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Content Audit Skill

Perform a comprehensive quality and maintenance assessment of documentation or content. This skill evaluates content against quality standards, checks for freshness, identifies maintenance needs, and provides actionable recommendations.

Inputs

  • PATH - The directory or file path to audit (e.g., "/docs")
  • SEVERITY - (Optional) Minimum severity level to report: "low", "medium", "high" (default: "medium")
  • CATEGORY - (Optional) Categories to audit: "all", "quality", "relevance", "links", "metadata" (default: "all")
  • FIX_MODE - (Optional) Boolean, whether to suggest or apply automated fixes where possible (default: false)

Workflow

Step 1: Inventory & Freshness Check

Scan the target PATH to list all content assets.

  • Check "Last Modified" dates.
  • Identify outdated content (e.g., > 6 months old).
  • Verify author/owner metadata.

Step 2: Quality Assessment

Evaluate content against quality metrics:

  • Clarity & Readability: Is the content easy to understand? (e.g., plain language).
  • Completeness: Does it cover the topic sufficiently?
  • Accuracy: Are there broken links, deprecated terms, or incorrect instructions?
  • Structure: Does it follow standard templates and formatting?

Step 3: Issues & Recommendations

Generate a report of identified issues, categorized by severity:

  • High: Broken paths, critical misinformation, missing required sections.
  • Medium: Outdated styling, poor readability, minor inaccuracies.
  • Low: Typos, inconsistent formatting.

If FIX_MODE is enabled, generate or apply suggestions for fixes.

Required Outputs

A CONTENT_AUDIT_REPORT in markdown format containing:

  • Summary: Total files, overall quality score, critical issues count.
  • Detailed Findings: Table of issues per file with severity.
  • Action Items: Prioritized list of recommended changes.
  • Freshness Report: List of stale or outdated documents.

Quick Reference

  • Purpose: Support content maintenance planning and quality improvement.
  • Key Metrics: Quality Score (0-100), Freshness (Age in days), Link Health (% valid).
Repository
dandye/ai-runbooks
Last updated
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.