agricidaniel/blog-write
> Write new blog articles from scratch optimized for Google rankings and AI citations. Generates full articles with template selection, answer-first formatting, Key Takeaways summary box, information gain markers, citation capsules, sourced statistics, Pixabay/Unsplash images, built-in SVG chart generation, optional FAQ sections, internal linking zones, and proper heading hierarchy. Supports MDX, markdown, and HTML output. Use when user says "write blog", "new blog post", "create article", "write about", "draft blog", "generate blog post".
npx skills add https://github.com/AgriciDaniel/claude-blog --skill blog-write
Writes complete blog articles from a topic, brief, or outline. Every article
follows the 6 pillars of dual optimization (Google rankings + AI citations).
Key references (paths relative to repo root; references live in the
main blog skill's references directory, not in blog-write/):
skills/blog/references/synthesis-contract.md: 6 LAWs for synthesis output (v1.8.0; applies whenever the article embeds research-synthesis prose)skills/blog/references/content-templates.md: Template selection guide and usageskills/blog/references/quality-scoring.md: 5-category scoring (Content 30, SEO 25, E-E-A-T 15, Technical 15, AI Citation 15)skills/blog/references/eeat-signals.md: Experience, expertise, authority, trust markersskills/blog/references/internal-linking.md: Linking strategy and anchor text rulesskills/blog/references/visual-media.md: Image sourcing and chart stylingskills/blog-write/references/delivery.md: delivery contract steps and summary template for this sub-skillDecide which of the FLOW 5 surfaces this post is meant to win. The choice
shapes structure, length, citation density, and call-to-action. The 5 surfaces
in 2026:
Most posts target surfaces 1, 2, and 3 by default. If the same query also
surfaces in a community (Reddit thread, YouTube comment), apply dual-surface
thinking: optimize the post for extraction AND plan a community echo (covered
in /blog repurpose).
For a deeper surface-by-surface workflow, see
skills/blog/references/flow-alignment.md and /blog flow find.
Select the appropriate content template from the 12 templates in
skills/blog/templates/ (the main blog skill owns the templates directory).
| Signal | Template |
|--------|----------|
| "How to...", process, steps | how-to-guide |
| "Best X", "Top N", list format | listicle |
| Client result, before/after, metrics | case-study |
| "X vs Y", comparison, alternatives | comparison |
| Broad topic, comprehensive guide | pillar-page |
| "Is X worth it", product evaluation | product-review |
| Opinion, prediction, industry take | thought-leadership |
| Expert quotes, multi-source collection | roundup |
| Code walkthrough, tool demo, technical | tutorial |
| Breaking news, algorithm update, event | news-analysis |
| Survey results, experiment, original data | data-research |
| Q&A, knowledge base, "What is X" | faq-knowledge |
skills/blog/templates/<type>.mdand word count guidance to shape Phase 3's outline
in Phase 3 below. Inform the user which template was selected (or that none matched).
See skills/blog/references/content-templates.md for detailed selection criteria and intent mapping.
Spawn a blog-researcher agent (or do inline research with WebSearch):
[topic] study 2025 2026 data statisticsskills/blog/references/quality-scoring.md)javascript:, data:, and file: image URLsblog-chart (text-on-gradient with key stat)blog-image; prefer gemini-3.1-flash-image, then gemini-3.1-flash-lite-image or gemini-3-pro-image when available, and record the model IDskills/blog/references/visual-media.md for cover image sizing detailsskills/blog/references/visual-media.md)blog-image is available):blog-image sub-skillblog-notebooklm for source-grounded data from user-uploaded documentsblog-google youtube command or WebSearch site:youtube.com [topic] [year]skills/blog/references/video-embeds.md (min score 50/100)Create a structured outline before writing. If a template was loaded in Phase 1.5,
adapt this skeleton to match the template's section structure:
# [Title as Question - Include Primary Keyword]
## Introduction (100-150 words)
- Hook with surprising statistic
- Problem/opportunity statement
- What the reader will learn
> **Key Takeaways**
> - [Core finding with statistic and source]
> - [Second key insight or recommendation]
> - [Third actionable takeaway]
> (3-5 bullets, 40-60 words combined)
## H2: [Question Format] (300-400 words)
- Answer-first paragraph (40-60 words with stat + source)
- Supporting evidence
- [Image placement]
- Practical advice
- [CITATION CAPSULE placeholder]
- [INTERNAL-LINK: anchor text → target description]
## H2: [Question Format] (300-400 words)
- Answer-first paragraph
- [Chart: type + data description]
- Analysis and implications
- [CITATION CAPSULE placeholder]
- [INTERNAL-LINK: anchor text → target description]
## H2: [Statement for Variety] (300-400 words)
- Answer-first paragraph
- Real-world example or case study
- [Image placement]
- [CITATION CAPSULE placeholder]
## H2: [Question Format] (300-400 words)
- Answer-first paragraph
- [Chart: type + data description]
- Step-by-step guidance
- [CITATION CAPSULE placeholder]
- [INTERNAL-LINK: anchor text → target description]
## H2: [Question Format] (200-300 words)
- Answer-first paragraph
- Forward-looking analysis
## [CTA Section or Inline Placement]
- See `skills/blog/references/cta-placement.md` for placement rules by content type
- Place CTA after value delivery, not at arbitrary positions
- Single focused CTA per post (266% more conversions)
- [CTA: contextual call-to-action matching article topic]
## FAQ Section (3-5 questions, 40-60 words each answer)
- [INTERNAL-LINK: anchor text → detailed content]
## Conclusion (100-150 words)
- Key takeaways (bulleted)
- Call to action
- [INTERNAL-LINK: anchor text → next logical content]
Present the outline to the user for approval before writing.
Visual element pacing: Insert [IMAGE], [CHART], [VIDEO], or [CALLOUT] markers
every 300-500 words. Alternate types (no consecutive same-type). See
skills/blog/references/content-rules.md Visual Rhythm section and
skills/blog/references/cta-placement.md for CTA positioning.
When the researcher identifies chart-worthy data (3+ comparable metrics, trend data,
before/after comparisons):
blog-chart sub-skill with: chart type, title, data values, source, platform format<figure> wrapperSee skills/blog/references/visual-media.md for chart type selection and styling rules.
Write the full article following these rules:
---
title: "[Question-format title with primary keyword]"
description: "[Fact-dense, 150-160 chars, includes 1 statistic]"
coverImage: "[URL from Pixabay/Unsplash/Pexels or generated SVG path]"
coverImageAlt: "[Descriptive sentence about the cover image]"
ogImage: "[Same as coverImage, or custom OG image URL]"
date: "YYYY-MM-DD"
lastUpdated: "YYYY-MM-DD"
author: "[Author name]"
tags: ["keyword1", "keyword2", "keyword3"]
---
If the platform uses a different field name (e.g., image, hero, thumbnail),
adapt to match the project's existing frontmatter convention.
Immediately after the introduction (before the first H2 body section), add a summary box:
> **Key Takeaways**
> - [Core finding with statistic] ([Source], year)
> - [Second key insight or recommendation]
> - [Third actionable takeaway]
Requirements:
Every H2 section MUST open with a 40-60 word paragraph containing:
Pattern:
## How Does X Impact Y in 2026?
[Stat from source] ([Source Name](url), year). [Direct answer to the heading
question in 1-2 more sentences, explaining the implication and what this means
for the reader.]
FLOW evidence triple (drafting requirement, not just audit):
Every public statistic must carry three components AT DRAFTING TIME:
the statistic, in the sentence body. Year buried inside parentheses
does not count. Example:
an AI Overview was present."
and the document title (or report name), not just a brand. Example:
Provenance discipline lets future readers and AI crawlers verify the
source still says what was claimed. Format:
FLOW quality bar (drop or replace):
Public claims must use verified sources OR stay qualitative. If a statistic
cannot be verified, drop it. If it is contradicted by a more recent source,
replace it with the verified alternative. Do not soften vague language to
keep an unsourceable number.
For evidence-led optimization prompts (CTR audit, AI detector test, schema,
PAA rewording, ChatGPT visibility), see /blog flow optimize.
Distribute at least 2-3 information gain markers throughout the article. These
signal to search engines and AI systems that the content contains original value
not available elsewhere.
Tag each with a comment or visible marker:
[ORIGINAL DATA] - Proprietary surveys, experiments, A/B test results, casestudy metrics the author collected first-hand
[PERSONAL EXPERIENCE] - First-hand observations, lessons learned from directinvolvement, "when we tried X, Y happened" narratives
[UNIQUE INSIGHT] - Analysis others haven't made, contrarian perspectivesbacked by data, novel connections between existing research
Placement:
<!-- [ORIGINAL DATA] --> before the relevant paragraph > **Our finding:** [original observation backed by specific data]
These markers map directly to the "Originality/unique value markers" criterion
in the Content Quality scoring category (see skills/blog/references/quality-scoring.md).
For each major H2 section, generate a citation capsule - a 40-60 word self-contained
passage designed so AI systems can extract and quote it directly.
Requirements per capsule:
Example:
According to a 2026 Gartner study, 58% of enterprise buyers now consult AI
assistants before contacting a vendor ([Gartner](https://www.gartner.com), 2026).
This shift means B2B content must answer specific questions concisely enough
for AI systems to extract and cite in their responses.
Capsules map to the "AI Citation Readiness" scoring category (15 points) in
skills/blog/references/quality-scoring.md.
Mark internal linking opportunities throughout the article using placeholder
notation. The user (or a follow-up pass) will resolve these to actual URLs.
Zone placement:
Format:
[INTERNAL-LINK: anchor text → target description]
Example:
For a deeper dive into keyword clustering, see our
[INTERNAL-LINK: complete guide to keyword clustering → pillar page on keyword research methodology].
Target 5-10 internal link zones per 2,000-word post. Use descriptive anchor text
(never "click here" or "read more"). See skills/blog/references/internal-linking.md for
anchor text rules and linking strategy.
Standard markdown:

MDX with Next.js Image (if detected):

Standard markdown/HTML:
<figure>
<svg viewBox="0 0 560 380" ...>...</svg>
<figcaption>Source: [Source Name], [Year]</figcaption>
</figure>
MDX format:
<figure className="chart-container" style={{margin: '2.5rem 0', textAlign: 'center', padding: '1.5rem', borderRadius: '12px'}}>
<svg viewBox="0 0 560 380" ...>...</svg>
</figure>
Embed YouTube videos using srcdoc lazy-loading pattern from skills/blog/references/video-embeds.md.
Include aria-label, noscript fallback for AI crawlers. Place after relevant H2, 500+ words apart.
Inline attribution (always):
In February 2026, Seer Interactive's AI Overview CTR tracker reported a 2.4% organic CTR on AI Overview SERPs ([Seer Interactive](https://www.seerinteractive.com/), retrieved YYYY-MM-DD).
Add 3-5 FAQ items with 40-60 word answers when user questions warrant it. Each answer must contain a verified statistic when a relevant source-backed number exists.
FAQPage is optional entity markup only. Google FAQ rich results have been limited primarily to well-known, authoritative government and health sites since the 2023 guidance, so do not make FAQ schema a core Google rich-result output or citation lever. Prioritize Article/BlogPosting + Person + Organization + BreadcrumbList; emit FAQPage only when the platform already supports it and the questions genuinely help users.
For MDX with an optional FAQSchema component:
<FAQSchema faqs={[
{ question: "Question?", answer: "40-60 word answer with statistic and source." },
]} />
For standard markdown:
## Frequently Asked Questions
### Question text here?
Answer with statistic and source attribution (40-60 words).
Before delivering, verify:
10. TL;DR box present after introduction (40-60 words, contains statistic + source)
11. At least 2-3 information gain markers ([ORIGINAL DATA], [PERSONAL EXPERIENCE], or [UNIQUE INSIGHT])
12. Citation capsules present in major H2 sections (40-60 words, self-contained, quotable)
13. Internal linking zones marked in introduction, H2 sections, FAQ, and conclusion
14. No AI-detectable phrases from banned list (see agents/blog-writer.md)
15. Sentence length variance - Verify a mix of short (8-word) and long (25-word) sentences. Uniform sentence length signals AI authorship.
16. Banned AI phrase scan - Check for and remove:
agents/blog-writer.md17. Contractions - Verify natural use of contractions ("it's", "we've", "don't", "isn't"). Formal AI prose avoids contractions; natural writing uses them.
18. Rhetorical questions - Verify at least one rhetorical question every 200-300 words to break up declarative patterns.
19. YouTube videos - 2-3 embeds with lazy loading, aria-labels, and noscript fallback (see skills/blog/references/video-embeds.md)
Before Phase 7, run the 5-gate delivery contract (via python3 scripts/blog_preflight.py plus a BLOCKING blog-reviewer agent) per skills/blog/references/blog-delivery-contract.md and the writer-specific checklist in skills/blog-write/references/delivery.md. Use python3 for local scripts. The user is never the first reviewer; the gates are.
On any block, capture <folder>/preflight-report.json, re-dispatch the blog-writer agent with the diagnostic as input, and re-run the gated steps. Maximum 3 iterations. On the 3rd failure, stop and present the failure diagnostic instead of the draft.
Present the completed article only after Phase 6.5 returns all gates passing. Include <folder>/preview/*.png screenshots and the compact completion summary described in skills/blog-write/references/delivery.md.
Take agricidaniel/blog-write from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.