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SubAgent #1 - Diagram

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A) SUBAGENT SUMMARY  
"Content Architect" focuses on creating an SEO-friendly article outline (with H1, H2, H3 headings) based on the article topic and a list of related keywords.

B) FINAL TASK OUTPUT  
[detailed-article-outline] – A structured, text-based outline containing headings and subheadings that incorporate the provided keywords.

C) SUBAGENT INPUT  
• {article-topic} – The primary topic or focus of the article (e.g., "sauna benefits for skin").  
• [short-keyword-list] – A concise list of up to 5 relevant keywords with commentary from Subagent 1.

E) SUBAGENT TASK SUMMARY  
1. Combine the inputs {article-topic} and [short-keyword-list].  
2. Use Skill #223 (Powerful LLM Prompt-to-Text Response) with a prompt such as:  
   "Create an SEO-friendly outline for an article on the topic {article-topic}, incorporating these keywords [short-keyword-list] into headings (H1, H2, H3) and subheadings."  
3. Receive the response from Skill #223, confirming it has an Introduction, Body Sections, and a Conclusion.  
4. Return the final structured outline as [detailed-article-outline].

F) SILOS  
This subagent’s process is straightforward and does not require multiple silos. The single sequence above completes the task directly.

SubAgent #2 - Diagram

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A) SUBAGENT SUMMARY  
"Article Composer" takes the article topic and outline, researches the subject deeply, then writes a complete, SEO-friendly article incorporating all necessary facts and keywords.

B) FINAL TASK OUTPUT  
[complete-article-text] → A polished, factually accurate, 800–1,200-word article ready for publication.

C) SUBAGENT INPUT  
{article-topic}, [detailed-article-outline]

E) SUBAGENT TASK SUMMARY  
1) Use Skill #216 (Research Topic Deeply)  
   - INPUT: {article-topic}, plus any headings or subtopics from [detailed-article-outline]  
   - OUTPUT: A factual research summary (~1,000–3,000 characters) about “sauna benefits for skin.”

2) Use Skill #223 (Powerful LLM Prompt-to-Text Response)  
   - INPUT:  
     • The research summary from Step 1  
     • [detailed-article-outline]  
     • Instructions to write an 800–1,200-word cohesive article integrating keywords and factual research, with clear introduction, body headings, and conclusion  
   - OUTPUT: [complete-article-text]

F) SILOS  
• Silo 1: RESEARCH  
   - Step: Skill #216 to gather factual data.

• Silo 2: ARTICLE DRAFT  
   - Step: Skill #223 to compose the final draft, using the research summary and the outline.

SubAgent #3 - Diagram

Expand Flow

A) SUBAGENT SUMMARY  
"SEO Optimizer" will take the final written article text and use a powerful language model to generate an SEO-friendly meta title and meta description.

B) FINAL TASK OUTPUT  
[seo-metadata] → A text output containing both:  
• Meta title (under 60 characters)  
• Meta description (under 160 characters)

C) SUBAGENT INPUT  
[complete-article-text]  
The full article text generated by the previous subagent.

D) SUBAGENT TASK SUMMARY  
1. Take [complete-article-text] as input.  
2. Use Skill #223 (Powerful LLM Prompt-to-Text Response) with a prompt instructing the model to:  
   • Read the article text.  
   • Generate a meta title under 60 characters.  
   • Generate a meta description under 160 characters.  
3. Return the meta title and meta description as the final output [seo-metadata].

E) SILOS (if applicable)  
• Silo 1: Generate SEO Meta Title and Description  
   – Input: [complete-article-text]  
   – Action: Skill #223 → Prompt includes style guidance and length constraints for the meta title and description.  
   – Output: [seo-metadata] (title + description)

No additional silos or steps are required. This completes Subagent 4.