| name | content-atomizer |
| description | Transform a single piece of long-form content into 20+ platform-optimized content pieces including LinkedIn posts, Twitter threads, email snippets, one-pagers, slide talking points, infographic outlines, and newsletter sections for clinical trial audiences. |
| argument-hint | [content-source] |
| allowed-tools | WebSearch, WebFetch |
Content Atomizer for Talosix EDC
Purpose
Take ONE piece of content -- a blog post, white paper, webinar transcript, case study, podcast notes, or any long-form content -- and systematically extract every reusable idea, data point, quote, and insight to produce 20+ distinct content pieces optimized for different platforms and formats. This is the content multiplication engine that turns one week of writing into one month of publishing.
Content Atomization Process
Phase 1: Source Analysis
Before atomizing, deconstruct the source content into its fundamental components.
Extract and catalog:
- Core thesis -- The single main argument or insight (1 sentence)
- Supporting arguments -- Each distinct sub-point (typically 3-7)
- Data points -- Every statistic, metric, benchmark, or quantified claim
- Quotes -- Any quotable statements (from customers, experts, or the author)
- Stories/examples -- Narrative elements, case studies, scenarios
- Frameworks/models -- Any structured thinking tools, matrices, processes
- Definitions -- Terms explained, concepts clarified
- Contrarian takes -- Anything that challenges conventional wisdom
- How-to elements -- Step-by-step instructions, best practices, tips
- Questions raised -- Open questions or prompts for audience engagement
Create a numbered inventory of all extracted elements. Each content piece produced below should reference which elements it draws from.
Phase 2: Content Production
Produce all outputs below. Each must be self-contained (reader should not need the source to understand it) while being consistent in messaging.
Load the brand-voice skill as background context for all outputs.
Output 1: LinkedIn Posts (5 Variants)
Each post uses a different angle from the source content. Maximum 1,300 characters per post. Use line breaks for readability. Include 3-5 hashtags from the clinical trial hashtag bank.
Post 1: The Data Hook
- Lead with the most compelling statistic or metric from the source
- Contextualize why that number matters to clinical ops professionals
- Close with an insight or question
- Pattern: Stat -> Context -> "Here is why that matters" -> Insight
Post 2: The Contrarian Take
- Challenge a common assumption in the source content
- Present the counter-argument with evidence
- Invite discussion
- Pattern: "Most people think X. But Y." -> Evidence -> "What if Z?"
Post 3: The Practical Tip
- Extract one actionable takeaway from the source
- Present it as a quick win the reader can implement today
- Make it specific to clinical trial operations
- Pattern: "Here is something you can do this week:" -> Tip -> Why it works
Post 4: The Story
- Pull a narrative element, example, or scenario from the source
- Tell it as a mini-story with a beginning, tension, and resolution
- Connect to a broader lesson
- Pattern: "A [role] at a [org type] was dealing with [problem]..." -> Resolution -> Lesson
Post 5: The Question Post
- Distill the source into one thought-provoking question
- Provide brief context (2-3 lines)
- Designed to drive comments and engagement
- Pattern: Question -> Brief context -> "I would love to hear your experience"
Clinical trial hashtag bank:
#ClinicalTrials #EDC #DataManagement #DigitalHealth #ClinOps #ClinicalData #eCRF #CDISC #DrugDevelopment #PatientSafety #ClinicalResearch #DataIntegrity #RegulatoryCompliance #SCDM #MedicalResearch
Use 3-5 per post. Rotate to avoid repetition. Place at the end of the post.
Output 2: Twitter/X Threads (5 Variants)
Each thread is 4-8 tweets. Each tweet is 280 characters maximum. Use the numbered thread format (1/n).
Thread 1: The Breakdown
- Take the core thesis and break it into component parts
- Each tweet covers one sub-point
- Final tweet ties it all together with a CTA
- Tweet 1 is the hook: must be compelling enough to make people click "Show this thread"
Thread 2: The Listicle
- Extract 5-7 tips, lessons, or takeaways from the source
- One per tweet, each self-contained
- Number them for easy reference
- Hook tweet: "X things I learned about [topic]:"
Thread 3: The Myth Buster
- Identify 3-5 misconceptions the source addresses
- Format: "Myth: X. Reality: Y."
- Each tweet tackles one myth
- Closing tweet points to the source for details
Thread 4: The Data Thread
- Lead with the most striking metric
- Each subsequent tweet adds a data point that builds the argument
- Visual-friendly (use arrows, numbers, simple formatting)
- Close with the implication
Thread 5: The Mini-Case-Study
- If source contains an example or case study, tell it in thread format
- Tweet 1: The problem
- Tweets 2-3: What was tried / the approach
- Tweet 4-5: The results
- Final tweet: The takeaway and link to full content
Output 3: Email Snippets (3 Variants)
Each snippet is 100-150 words, ready to be dropped into a nurture email or newsletter. Include a subject line and preview text for each.
Snippet 1: The Insight Share
- Subject line: Curiosity-driven, references the core insight
- Body: Share one key finding from the source, explain why it matters, link to full content
- CTA: "Read the full [article/guide/study]"
Snippet 2: The Data Drop
- Subject line: Includes a specific number or metric
- Body: Lead with the data point, provide brief context, tease additional insights in the source
- CTA: "See all the data"
Snippet 3: The Question Tease
- Subject line: Poses a question the source answers
- Body: Frame the question, hint at the answer, create curiosity gap
- CTA: "Here is what we found"
For each snippet, provide:
- Subject line (40-60 characters)
- Preview text (80-100 characters)
- Body copy (100-150 words)
- CTA button text
- CTA link anchor description
Output 4: One-Pager Summary (1)
A single-page executive summary of the source content. Structured for print or PDF.
Layout:
- Hero headline: Captures the core insight in 8-12 words
- Subhead: One sentence expanding the headline
- Key finding callout box: The single most important data point or insight, styled as a pull quote
- 3-4 bullet summary: The main supporting points, each in one sentence
- Supporting data: 2-3 metrics in a visual-friendly format (think: large number + label + context)
- Bottom CTA: Link to full content and a contact/demo CTA
Provide both the text content and layout guidance (what goes where, suggested visual treatment).
Output 5: Slide Talking Points (3 Slides)
Three slides that could be added to a sales deck, webinar, or conference presentation. For each slide, provide:
- Slide title (6-10 words)
- 3-4 bullet points (one line each, no full sentences on slides)
- Speaker notes (2-3 sentences of what to say for each bullet)
- Visual suggestion (chart type, icon, image concept)
Slide 1: The Problem Slide
- Quantifies the challenge the source content addresses
- Uses data to establish urgency
Slide 2: The Insight Slide
- Presents the core finding or approach
- Shows the "aha moment"
Slide 3: The Proof Slide
- Results, metrics, outcomes
- Before/after or comparison format
Output 6: Infographic Outline (1)
A structured outline for a visual infographic. Not the design itself, but everything a designer needs.
Provide:
- Infographic title
- Visual flow (top-to-bottom narrative arc)
- 5-7 sections with:
- Section header
- Key data point or statement (one per section)
- Suggested visual treatment (icon, chart type, comparison, timeline)
- Color/style notes -- Reference Talosix brand palette
- Footer -- Source attribution, Talosix branding, CTA
- Dimensions recommendation -- Long-format for Pinterest/blog embed or square for social
Output 7: Newsletter Section (1)
A 150-200 word section ready to drop into a company newsletter or email digest.
Format:
- Section header (5-8 words)
- Teaser paragraph (2-3 sentences summarizing the most compelling angle)
- Pull quote or callout stat
- Read more link text
Tone: Informative, quick-scan friendly. Assume the reader is scrolling through multiple newsletter items.
Atomization Quality Checks
After producing all outputs, verify:
Content Calendar Integration
After atomization, suggest a 2-4 week publishing schedule:
| Week | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|
| 1 | LinkedIn Post 1 | Twitter Thread 1 | Email Snippet 1 (to nurture list) | LinkedIn Post 2 | Newsletter Section |
| 2 | Twitter Thread 2 | LinkedIn Post 3 | Infographic (publish) | Twitter Thread 3 | LinkedIn Post 4 |
| 3 | Email Snippet 2 | Twitter Thread 4 | LinkedIn Post 5 | Slide deck update | Email Snippet 3 |
| 4 | Twitter Thread 5 | One-pager (share via sales) | Repurpose top performer | Repurpose top performer | Month recap |
Timing guidance for clinical trial audience:
- LinkedIn: Tuesday-Thursday, 7-9 AM or 12-1 PM (Eastern US) for North American audience; 8-10 AM CET for European audience
- Twitter: Tuesday-Thursday, 10-11 AM or 1-2 PM Eastern
- Email: Tuesday or Wednesday, 9-10 AM recipient local time
- Avoid: Major conference weeks (DIA, SCOPE, ACRP) unless content is conference-related
Delivery Format
Present all outputs in a single structured document with clear section headers. Number every piece for easy reference. Include an index at the top:
## Content Atom Index
Source: [Title of source content]
Date atomized: [Date]
Total pieces produced: [Count]
1. LinkedIn Post 1: [The Data Hook] -- "[First 10 words...]"
2. LinkedIn Post 2: [The Contrarian Take] -- "[First 10 words...]"
...
[Continue for all pieces]
