本文へ移動
cccskills
無料GitHub で公開

blog-outline

SERP-informed outline generation with H2/H3 heading hierarchy, competitive content gap analysis, section-by-section word count targets, chart and image placement markers, FAQ question planning, and internal linking zones. Skeleton only: structure, H2/H3 hierarchy, word counts, FAQ slots. Use blog-brief instead if you need full competitive analysis, statistics research, and image suggestions. Lighter than a full content brief, generates article skeleton and structure only, ready for /blog write to consume. Use when user says "outline", "blog outline", "content outline", "structure blog", "plan sections", "article skeleton", "heading structure", "SERP analysis", "competitive outline", "plan article".

インストール方法を見る

含まれるファイル(1)

  • SKILL.md5.1 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 Outline Generator: SERP-Informed Structure Planning

Generates skeletal blog post outlines informed by SERP analysis. A lighter alternative to a full content brief - produces heading hierarchy, section targets, and content gap notes without deep statistics research or full competitive analysis.

Cross-reference

For evidence-led topical-relevance and content-planning prompts upstream of outlining, see /blog flow find. The blog-post-outline-prompt under /blog flow optimize is a complementary structural reference.

Workflow

Step 1: Topic & Intent

Gather from the user:

  1. Topic or target keyword (required)
  2. Target keyword - the exact phrase to rank for (if different from topic)
  3. Search intent - Informational, commercial, or transactional

If only a topic is given, infer the keyword and intent from context.

Step 2: SERP Analysis

Use WebSearch to analyze the top 5 results for the target keyword:

  1. Search for the target keyword

  2. For each of the top 5 results, note:

    • Heading structure - H2/H3 topics covered
    • Content length - Approximate word count
    • Visual elements - Charts, images, videos, infographics
    • FAQs - Any FAQ sections or People Also Ask coverage
    • Unique angles - What makes each result distinct
    • Gaps - What's missing or weak
  3. Use WebFetch on the top 2-3 results to extract detailed heading structures if the search snippets are insufficient.

  4. Compile a summary of common patterns and missed opportunities.

Step 3: Generate Outline

Create a structured outline with the following format:

# Outline: [Topic]

## Title Suggestions
1. [Primary title - 40-60 chars, front-loaded keyword, power word]
2. [Alternative title - different angle]
3. [Alternative title - question format]

## Target Parameters
- **Primary keyword**: [keyword]
- **Search intent**: [Informational/Commercial/Transactional]
- **Target word count**: [X,XXX] words
- **H2 sections**: [6-8]
- **Target reading level**: Flesch 60-70

---

## Outline

### H2: [Section Title - Question Format] (~300-400 words)
- **Answer-first opener**: [What stat or fact should open this section?]
- **Key points to cover**:
  - [Point 1]
  - [Point 2]
  - [Point 3]
- **H3: [Subsection]** (if appropriate)
  - [What this subsection covers]
- **Key statistic to find**: [What data point would strengthen this section?]
- **Chart suggestion**: [Bar/Line/Donut/None] - [What data to visualize]
- **Image placement**: [Yes/No] - [Description of recommended image]

### H2: [Section Title] (~300-400 words)
[... repeat for 6-8 sections ...]

### FAQ Section (3-5 items)
1. [Question from People Also Ask] - [Brief answer direction]
2. [Question from People Also Ask] - [Brief answer direction]
3. [Question from People Also Ask] - [Brief answer direction]
4. [Question from SERP analysis] - [Brief answer direction]

### Conclusion (~100-150 words)
- Key takeaways to summarize
- Call to action direction

---

## Internal Linking Zones
- **Link TO from this post**: [Existing content that should be referenced]
- **Link FROM to this post**: [Existing content that should link here]

## Content Gaps to Exploit
1. [What competitors miss that this post should cover]
2. [Unique angle or original perspective to include]
3. [Format advantage - visuals, depth, or structure competitors lack]

Guidelines for heading generation:

  • 60-70% of H2 headings should be in question format
  • Each H2 should have a clear answer-first paragraph prompt
  • Include H3 subsections only where the topic genuinely warrants subdivision
  • Target word counts should sum to the overall post target
  • Chart type suggestions should be diverse (no two identical types)
  • Image placement markers should be distributed evenly across the post

Step 4: Content Gaps

After generating the outline, add a dedicated content gaps analysis:

  1. List 3-5 topics or angles that all top-ranking competitors miss
  2. Identify opportunities for original data, case studies, or perspectives
  3. Note format advantages this post can have (more visuals, better structure, deeper coverage on a specific subtopic)

Step 5: Save

Save the outline to outlines/[slug]-outline.md or to a user-specified path. Confirm the outline is ready for /blog write to consume.

If the outlines/ directory does not exist, create it.

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