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Blog Write

skill-agricidaniel-claude-blog-blog-write · by AgriciDaniel

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Install

$ agentstack add skill-agricidaniel-claude-blog-blog-write

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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/eeat-signals.md: Experience, expertise, authority, trust markers
  • skills/blog/references/internal-linking.md: Linking strategy and anchor text rules
  • skills/blog/references/visual-media.md: Image sourcing and chart styling

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:

  1. Owned site (organic Google ranking)
  2. SERP including AI Overviews
  3. AI assistant citations (ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com)
  4. Local pack (out of scope for blog content; use claude-seo for local)
  5. 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

  1. 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)
  1. 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).

  1. 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 |

  1. Load the matching template: Read from skills/blog/templates/.md
  2. Adapt the outline - Use the template's section structure, heading patterns,

and word count guidance to shape Phase 3's outline

  1. 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):

  1. 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)
  • Record: statistic, source name, URL, date, methodology
  1. Find a cover image (wide, high-quality, topic-relevant):
  • Search: site:pixabay.com [topic] wide banner (preferred)
  • Alternative: site:unsplash.com [topic] wide
  • Fallback: site:pexels.com [topic] wide banner
  • 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 sub-skill (if nanobanana-mcp configured)
  • See skills/blog/references/visual-media.md for cover image sizing details
  1. Find 3-5 inline images from open-source platforms:
  • Pixabay (preferred): Search site:pixabay.com [topic keywords]
  • Extract image URL from page
  • Direct URLs: https://cdn.pixabay.com/photo/YYYY/MM/DD/HH/MM/filename.jpg
  • Verify with curl -sI "" | head -1 returns HTTP 200
  • Unsplash (alternative): Search site:unsplash.com [topic keywords]
  • Build URL: https://images.unsplash.com/photo-?w=1200&h=630&fit=crop&q=80
  • Pexels (fallback): Search site:pexels.com [topic keywords]
  1. 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
  1. AI image generation (optional, if nanobanana-mcp configured):
  • If stock photo results are insufficient ( 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):

1. Select chart type using the diversity rule (no repeated types per post)
2. Invoke `blog-chart` sub-skill with: chart type, title, data values, source, platform format
3. Embed the returned SVG directly in the post within a `` wrapper
4. Target 2-4 charts per 2,000-word post
5. 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
```yaml
---
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:

> **Key Takeaways**
> - [Core finding with statistic] ([Source], year)
> - [Second key insight or recommendation]
> - [Third actionable takeaway]

Requirements:

  • 3-5 bullet points, 40-60 words combined
  • 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:

  1. 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."

  • WEAK: "Position-one CTR dropped 58% (Ahrefs, 2026)."
  1. Inline citation with publisher and title. Name both the publisher

and the document title (or report name), not just a brand. Example:

  • GOOD: "Ahrefs, AI Overviews CTR update, December 2025"
  • WEAK: "Ahrefs reported..."
  1. 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:

  • "[Publisher], [Title], retrieved YYYY-MM-DD, [full URL]"

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:

``markdown > **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):

  • Place images after H2 headings, before body text
  • Space evenly throughout the post (not clustered)
  • Alt text should be a full descriptive sentence
5j. Chart Embedding

Standard markdown/HTML:


  ...
  Source: [Source Name], [Year]

MDX format:


  ...
5k. Video Embedding

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):

Organic CTR declined 61% with AI Overviews ([Seer Interactive](https://www.seerinteractive.com/), 2025).
5m. FAQ Section

Add 3-5 FAQ items with 40-60 word answers. Each answer must contain a statistic.

For MDX with FAQSchema component:

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
  1. Every H2 ope

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.