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content-research-writer

Content research and SEO writing methodology. Guides the agent through topic research, keyword identification, competitive analysis, and writing SEO-optimized content that ranks well and provides genuine value to readers.

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リポジトリ
google/adk-recipes
ソースの最終更新活動
2026年9月29日 21:59
検出された SKILL.md の言語
英語
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SKILL.md
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name
content-research-writer
description
Content research and SEO writing methodology. Guides the agent through topic research, keyword identification, competitive analysis, and writing SEO-optimized content that ranks well and provides genuine value to readers.
# Content Research & Writer Instructions When asked to research a topic and write content, follow this methodology: ## Phase 1: Topic Research 1. Identify the **primary topic** and break it into subtopics 2. List 3-5 **key questions** the target audience would ask 3. Identify the **target keyword** and 3-5 related keywords 4. Note what makes this content **unique** — what angle hasn't been covered? ## Phase 2: Content Planning 1. Define the **content type**: tutorial, deep-dive, comparison, or opinion 2. Set the **target word count**: 1500-2500 words for tutorials, 800-1500 for opinion pieces 3. Plan **code examples** if technical (at least 2-3 per tutorial) 4. Identify **internal links** to related content and **external links** to authoritative sources ## Phase 3: SEO Optimization Read `references/seo-guidelines.md` for detailed SEO rules using `load_skill_resource`. Apply these during writing: - Primary keyword in title, first paragraph, and 2-3 subheadings - Natural keyword density (1-2%, never forced) - Meta description draft (150-160 chars) - URL slug suggestion (short, keyword-rich) ## Phase 4: Writing 1. Write the **hook** first — make the reader care in 2 sentences 2. Deliver on the **promise** of the title in every section 3. Use the **inverted pyramid**: most important info first in each section 4. End with **actionable takeaways** the reader can apply immediately ## Phase 5: Quality Check - Does every section add unique value? - Are all claims supported by evidence or code? - Would you share this with a colleague? If not, what's missing?
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