本文へ移動
cccskills
無料GitHub で公開

blog-audit

Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and a prioritized action queue. Use when user says "audit blog", "blog audit", "site audit", "blog health", "audit all posts", "check all blogs".

インストール方法を見る

含まれるファイル(1)

  • SKILL.md7.1 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Blog Audit: Full-Site Health Assessment

Performs a comprehensive blog health assessment across all posts in the project. Scans for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Uses parallel subagents for efficient analysis and produces a prioritized action queue.

Audit Process

Step 1: Discover Blog Files

Scan the project for all blog content files:

  • Glob for *.md, *.mdx, *.html in common blog directories
  • Common paths to check:
    • content/
    • posts/
    • blog/
    • src/content/
    • _posts/
    • pages/blog/
    • articles/
    • src/pages/blog/
  • Filter out non-blog files: README, CHANGELOG, LICENSE, config files, SKILL.md, package.json, node_modules
  • Report: "Found N blog files in [directories]"

If no blog files are found in standard locations, search the entire project root for markdown files with blog-like frontmatter (title, date, description).

Step 2: Parallel Analysis

Spawn subagents via the Task tool for parallel processing across all discovered blog files:

Content Quality Agent

  • Score each post on the 30-point content quality scale
  • Check paragraph length (target 40-80 words, hard limit 150)
  • Check sentence length (target 15-20 words)
  • Evaluate heading structure and question-format headings
  • Assess readability (Flesch Reading Ease 60-70 target)

SEO Optimization Agent

  • Check on-page SEO elements per post:
    • Title tag length (50-60 chars)
    • Meta description (150-160 chars, includes statistic)
    • H1 presence and uniqueness
    • Image alt text coverage
    • Internal and external link counts
    • URL slug quality

Schema Validation Agent

  • Detect structured data across all posts
  • Validate BlogPosting schema completeness
  • Check FAQ schema presence and format
  • Verify dateModified matches lastUpdated frontmatter
  • Flag missing or malformed schema

Link Health Agent

  • Map internal links across all posts
  • Build a directed link graph
  • Detect orphan pages (zero inbound internal links)
  • Detect dead-end pages (zero outbound internal links)
  • Check for broken internal link targets
  • Recommend bidirectional link opportunities

Freshness Check Agent

  • Read lastUpdated or dateModified from each post's frontmatter
  • Calculate days since last update
  • Flag posts not updated in 90+ days
  • Categorize by refresh priority

AI Readiness Agent

  • Score each post for AI citation readiness
  • Check passage-level citability (120-180 word sections)
  • Evaluate Q&A formatting and entity clarity
  • Check for TL;DR boxes and citation capsules
  • Assess AI crawler accessibility

Step 3: Topic Cannibalization Detection

Analyze across all posts for keyword competition:

  1. Extract primary keyword/topic from each post:
    • Title text
    • H1 heading
    • Meta description
    • First paragraph
  2. Normalize keywords (lowercase, remove stop words)
  3. Detect multiple posts targeting the same primary keyword
  4. Flag competing posts with one of these recommendations:
    • Merge: Combine two weak posts into one strong post
    • Redirect: 301 redirect the weaker post to the stronger one
    • Differentiate: Adjust focus so posts target distinct intents

Step 4: Orphan Page Detection

Build and analyze the internal link graph:

  1. For each blog post, extract all internal links (relative and absolute)
  2. Build an adjacency map: { page -> [pages it links to] }
  3. Build a reverse map: { page -> [pages linking to it] }
  4. Identify orphan pages: posts with zero inbound internal links
  5. Identify dead-end pages: posts with zero outbound internal links
  6. For each orphan, recommend 2-3 existing posts that should link to it based on topic relevance

Step 5: Stale Content Detection

Audit content freshness across all posts:

  1. Read frontmatter fields: lastUpdated, dateModified, date, updated
  2. Calculate days since last update for each post
  3. Categorize by refresh priority:
    • High (>180 days): Likely outdated, statistics may be stale
    • Medium (90-180 days): Review for accuracy, update statistics
    • Low (<90 days): Recently updated, no immediate action
  4. Estimate refresh effort per post:
    • Light refresh: Update statistics, check links (1-2 hours)
    • Moderate refresh: Rewrite sections, add new data (3-4 hours)
    • Heavy refresh: Full rewrite recommended (5+ hours)

Step 6: Generate Site-Wide Report

Aggregate all results into a comprehensive report:

Summary Dashboard

## Blog Audit Report

**Audit Date:** [date]
**Total Posts:** N
**Average Score:** XX/100

### Health Overview
| Metric | Count |
|--------|-------|
| Posts Scoring 90+ (Excellent) | N |
| Posts Scoring 70-89 (Good) | N |
| Posts Scoring 50-69 (Needs Work) | N |
| Posts Scoring <50 (Poor) | N |
| Orphan Pages | N |
| Dead-End Pages | N |
| Cannibalization Issues | N |
| Stale Content (90+ days) | N |

Per-Post Table

### Per-Post Scores
| Post | Score | Content | SEO | E-E-A-T | Technical | AI Citation | Issues |
|------|-------|---------|-----|---------|-----------|-------------|--------|
| [filename] | XX/100 | X/25 | X/20 | X/20 | X/15 | X/20 | [count] |

Prioritized Action Queue

### Prioritized Action Queue (Lowest Score First)
| Priority | Post | Score | Top Issue | Recommended Action |
|----------|------|-------|-----------|--------------------|
| 1 | [file] | XX | [issue] | [action] |
| 2 | [file] | XX | [issue] | [action] |

Cannibalization Report

### Topic Cannibalization
| Keyword | Competing Posts | Recommendation |
|---------|----------------|----------------|
| [keyword] | post-a.md, post-b.md | Merge / Redirect / Differentiate |

Orphan Pages

### Orphan Pages (No Inbound Links)
| Page | Inbound Links | Recommended Link Sources |
|------|---------------|--------------------------|
| [file] | 0 | post-a.md, post-b.md, post-c.md |

Stale Content

### Stale Content
| Post | Last Updated | Days Stale | Priority | Refresh Effort |
|------|-------------|------------|----------|----------------|
| [file] | [date] | [N] | High/Med/Low | Light/Moderate/Heavy |

Step 7: Save Report

Save the complete report to blog-audit-report.md in the project root.

After saving, inform the user:

  • Report location: [project-root]/blog-audit-report.md
  • Summary of findings (total posts, average score, critical issues count)
  • Suggest running /blog analyze <file> on the lowest-scoring post first
  • Suggest running /blog geo <file> for AI citation optimization on key posts

Cross-reference

For evidence-led audit prompts beyond this site-wide health pass, see /blog flow optimize (visibility, CTR, schema, extraction audits) and /blog flow win (dual-surface scorecard, conversion audit).

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Format CVs for academic positions with publications, grants, and teaching

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Conduct a comprehensive accessibility audit against WCAG guidelines with severity ratings and remediation steps.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Create accessibility testing plans covering assistive technologies and WCAG criteria.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Infrasity-Labs のスキルをすべて見る

このスキルの問題を報告する