Download brain/.raw/sources/claude-blog-skill/skills/blog-write/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does blog-write live?
The publisher keeps it at https://github.com/AgriciDaniel/claude-blog.
Which agents can use blog-write?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.
>
name: blog-write
description: >
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".
user-invokable: true
argument-hint: ""
license: MIT
Blog Writer: New Article Generation
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 usage
skills/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/internal-linking.md: Linking strategy and anchor text rules
skills/blog/references/visual-media.md: Image sourcing and chart styling
skills/blog-write/references/delivery.md: delivery contract steps and summary template for this sub-skill
Workflow
Phase 0: Surface Targeting (do this BEFORE research)
Decide 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:
Owned site (organic Google ranking)
SERP including AI Overviews
AI assistant citations (ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com)
Local pack (out of scope for blog content; use claude-seo for local)
Communities and video (Reddit, YouTube, LinkedIn, Quora, niche forums)
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.
Phase 1: Topic Understanding
Clarify the topic - If the user provides just a topic, ask:
Target audience (who is this for?)
Primary keyword / search intent
Desired word count (default: 2,000-2,500 words)
Platform/format (MDX, markdown, HTML - auto-detect if in a project)
If a brief exists - Load it and skip to Phase 1.5
Phase 1.5: Template Selection
Select the appropriate content template from the 12 templates in
skills/blog/templates/ (the main blog skill owns the templates directory).
Auto-detect content type from the topic and search intent:
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
Load the matching template: Read from skills/blog/templates/<type>.md
Adapt the outline - Use the template's section structure, heading patterns,
and word count guidance to shape Phase 3's outline
Fallback - If no template clearly fits, use the generic outline structure
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.
Phase 2: Research
Spawn a blog-researcher agent (or do inline research with WebSearch):
Find 8-12 current statistics (2025-2026 data preferred)
Search: [topic] study 2025 2026 data statistics
Prioritize tier 1-3 sources (see skills/blog/references/quality-scoring.md)
Find a cover image (wide, high-quality, topic-relevant):
Prefer original screenshots, product visuals, diagrams, or data graphics when available
For stock, use official APIs such as Openverse, Unsplash, Pexels, or Pixabay so license, creator, source URL, and download URL are captured
Download approved assets into the draft folder, store attribution, and never hotlink arbitrary CDN URLs
Reject javascript:, data:, and file: image URLs
Target dimensions: 1200x630 (OG-compatible) or 1920x1080
Or generate a custom SVG cover via blog-chart (text-on-gradient with key stat)
Or generate a custom AI image via 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 ID
See skills/blog/references/visual-media.md for cover image sizing details
Find 3-5 inline images from open-source platforms:
Use official APIs or Openverse search; keep license, creator, source URL, and retrieval date with each asset
Download images locally and reference local paths in the draft
Validate final URLs with the delivery contract SSRF rules before download
Plan 2-4 data visualizations from researched statistics
Select diverse chart types (see skills/blog/references/visual-media.md)
Map data points to chart formats
AI image generation (optional, if blog-image is available):
If stock photo results are insufficient (< 3 good matches) or topic is too niche
Generate custom hero image and/or inline illustrations via blog-image sub-skill
Record prompt, provider, and model ID; stock photos remain available, but original and data visuals are preferred when they better serve the topic
NotebookLM research (optional, if user has relevant notebooks):
If the user mentions a NotebookLM notebook or the topic aligns with a configured notebook
Query via blog-notebooklm for source-grounded data from user-uploaded documents
Inherit the source tier from the underlying document provenance; user's own primary documents can be Tier 1, while copied secondary sources keep their original tier
Falls back silently if not configured or not authenticated
Find relevant YouTube videos (2-3 per post):
Use blog-google youtube command or WebSearch site:youtube.com [topic] [year]
Apply quality criteria from skills/blog/references/video-embeds.md (min score 50/100)
Select 2-3 best videos. Falls back silently if none found.
Phase 3: Outline Generation
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.
Phase 4: Chart Generation (Built-In)
When the researcher identifies chart-worthy data (3+ comparable metrics, trend data,
before/after comparisons):
Select chart type using the diversity rule (no repeated types per post)
Invoke blog-chart sub-skill with: chart type, title, data values, source, platform format
Embed the returned SVG directly in the post within a <figure> wrapper
Target 2-4 charts per 2,000-word post
Distribute charts evenly - never cluster them
See skills/blog/references/visual-media.md for chart type selection and styling rules.
Phase 5: Content Writing
Write the full article following these rules:
5a. Frontmatter
---
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.
5b. Summary Box (Key Takeaways)
Immediately after the introduction (before the first H2 body section), add a summary box:
Must be self-contained - understandable without reading the article
Include 1 specific statistic with source name
State the key finding, recommendation, or answer
Default label: "Key Takeaways". If a persona is active, use the persona's summary_label
Backward compatible: accept existing TL;DR boxes during rewrites
5c. Answer-First Formatting (Critical)
Every H2 section MUST open with a 40-60 word paragraph containing:
At least one specific statistic with source attribution
A direct answer to the heading's implicit question
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:
Year anchor in prose. Write "In 2026," or "As of Q1 2026," BEFORE
the statistic, in the sentence body. Year buried inside parentheses
does not count. Example:
GOOD: "In 2026, Ahrefs found a 58% lower CTR for position one when
an AI Overview was present."
Inline citation with publisher and title. Name both the publisher
and the document title (or report name), not just a brand. Example:
GOOD: "Ahrefs, [document or report title], 2026"
WEAK: "Ahrefs reported..."
URL plus retrieval date in the source block at the bottom of the post.
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.
5d. Information Gain Markers
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, case
study metrics the author collected first-hand
[PERSONAL EXPERIENCE] - First-hand observations, lessons learned from direct
involvement, "when we tried X, Y happened" narratives
[UNIQUE INSIGHT] - Analysis others haven't made, contrarian perspectives
backed by data, novel connections between existing research
Placement:
Weave into the body text naturally
Use as inline comments: `` before the relevant paragraph
Or as visible callouts if the format supports it:
> **Our finding:** [original observation backed by specific data]
Minimum 2 per post, target 3 for comprehensive articles
These markers map directly to the "Originality/unique value markers" criterion
in the Content Quality scoring category (see skills/blog/references/quality-scoring.md).
5e. Citation Capsules
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:
40-60 words, self-contained (makes sense in isolation)
Contains: one specific claim + one data point + source attribution
Written in a declarative, quotable style
Placed within the H2 section body (not as a separate block)
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.
5f. Internal Linking Zones
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:
Introduction - Link to related pillar content or topic hub
Each H2 section - Link to supporting articles, deeper dives, related tools
FAQ section - Link answers to detailed content that expands on the answer
Conclusion - Link to the next logical piece of content the reader should consume
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.
5g. Paragraph Rules
Every paragraph: 40-80 words (never exceed 150)
Every sentence: max 15-20 words
Start each paragraph with the most important information
Target Flesch Reading Ease: 60-70
5h. Heading Rules
One H1 (title only)
H2s for main sections (60-70% as questions)
H3s for subsections only - never skip levels
Include primary keyword naturally in 2-3 headings
5i. Image Embedding
Standard markdown:
MDX with Next.js Image (if detected):
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.
5l. Citation Format
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).
5m. FAQ Section
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).
5n. Internal Linking
5-10 internal links per 2,000-word post
Link to relevant existing content naturally
Use descriptive anchor text (not "click here")
Phase 6: Quality Check
Before delivering, verify:
Structure and Content
Every H2 opens with a statistic + source
No paragraph exceeds 150 words
All statistics have named tier 1-3 sources
2-4 charts with type diversity
3-5 inline images with descriptive alt text
Cover image present in frontmatter (coverImage + ogImage)
FAQ section present with 3-5 items when warranted by user questions
Contractions - Verify natural use of contractions ("it's", "we've", "don't", "isn't"). Formal AI prose avoids contractions; natural writing uses them.
Rhetorical questions - Verify at least one rhetorical question every 200-300 words to break up declarative patterns.
YouTube videos - 2-3 embeds with lazy loading, aria-labels, and noscript fallback (see skills/blog/references/video-embeds.md)
Phase 6.5: Delivery Contract Enforcement (v1.9.0)
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.
Phase 7: Delivery
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.
How do I install blog-write?
Download brain/.raw/sources/claude-blog-skill/skills/blog-write/SKILL.md from the publisher, or copy the path and open the repository. PlugMCP lists the skill and does not host the file.
Where does blog-write live?
The publisher keeps it at https://github.com/AgriciDaniel/claude-blog.
Which agents can use blog-write?
Claude, Cursor, and Codex can read a SKILL.md you add from the publisher's repository.