# Newsletter To Social

> Extract standalone snippets from newsletters or blog posts and route to social platforms. Posts suggestions to

- Skill: `majiayu000/newsletter-to-social` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/newsletter-to-social`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/newsletter-to-social/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/newsletter-to-social

---


# Newsletter/Blog to Social Router

Transform a newsletter or blog post into multiple social suggestions using framework fitting.

## Invocation

User says:
- "social from newsletter" or "social from today's newsletter"
- "social from [blog post title]"
- "generate social for [URL]"
- "/newsletter-to-social"

## When to Use

- After publishing a daily or weekly newsletter
- After publishing a blog post to Webflow
- When repurposing any hub content for social
- For batch social content generation

## Output

Posts suggestions to **#content-inbox** (C0ABV2VQQKS) for triage, not direct scheduling.

## The Process

```
NEWSLETTER
    │
    ├─→ THOUGHT segment → Extract hot take
    │       ├─→ LinkedIn (Contrarian template)
    │       ├─→ X (Paradox Hook)
    │       └─→ Instagram (Quote card)
    │
    ├─→ TREND segment → Extract stat + interpretation
    │       ├─→ LinkedIn (Authority template)
    │       └─→ X (Commentary)
    │
    └─→ TOOL segment → Extract recommendation
            ├─→ LinkedIn (List/How-to)
            └─→ X (Thread: tool + benefits)
```

## Phase 1: Snippet Extraction

Read the newsletter and extract standalone snippets from each segment.

**From THOUGHT segment (contrarian take):**
- Core opinion (1-2 sentences)
- Why it matters
- Snippet type: `hot_take`

**From TREND segment (data/research):**
- Key stat or finding
- OpenEd interpretation
- Snippet type: `stat`

**From TOOL segment (practical advice):**
- Recommendation
- Why it helps
- Snippet type: `how_to`

**Output format:**
```markdown
## Extracted Snippets

### Snippet 1 (from THOUGHT)
**Type:** hot_take
**Content:** [1-2 sentence opinion]
**Context:** [why this matters]

### Snippet 2 (from TREND)
**Type:** stat
**Content:** [stat + interpretation]
**Source:** [if external]

### Snippet 3 (from TOOL)
**Type:** how_to
**Content:** [recommendation]
**Benefit:** [what it enables]
```

## Phase 2: Parallel Sub-Agents

For each snippet, spawn parallel platform sub-agents.

**Load for all sub-agents:**
1. TEMPLATE_INDEX.md (lightweight index)
2. opened-identity (brand voice)
3. ai-tells (hard blocks)

**Sub-agent prompt pattern:**

```
You are a [PLATFORM] content specialist for OpenEd.

SNIPPET: [extracted snippet]
TYPE: [hot_take|stat|how_to]

Match to 2-3 best templates from TEMPLATE_INDEX.md.
Generate draft options.
Apply voice constraints.
Return for selection.
```

**Platform-specific routing:**

| Snippet Type | LinkedIn | X | Instagram | Facebook |
|--------------|----------|---|-----------|----------|
| hot_take | Contrarian, Story | Paradox Hook, Binary | Quote card | Agree/Disagree |
| stat | Authority, Commentary | Commentary, Thread | Carousel | Question post |
| how_to | List, Tips | Thread | Carousel | Fill-blank |

## Phase 3: Quality Gate

Apply Lite Quality Loop (3-judge):
1. AI-Tell Judge (BLOCKING)
2. Voice Judge (BLOCKING)
3. Platform Judge (ADVISORY)

## Phase 4: Nearbound Check

Before finalizing, check if any people are mentioned:
1. Search `Studio/Nearbound Pipeline/people/` for name
2. If found, add platform-appropriate @handle to post:
   - LinkedIn: Full name or @handle if connected
   - X: @handle
   - Instagram: @handle in caption
3. If not found, note for future profile creation

## Phase 5: Post to Content Inbox

Post each suggestion to **#content-inbox** (C0ABV2VQQKS) using the standard format.

**Message format for each suggestion:**

```
*[Hook/Title from post]*
_Newsletter | [Newsletter Title] | [Platform]_

[The draft post content]

OpenEd angle: [Why this works for this platform]
@handles: [Tagged people if any]

Source: [Newsletter URL or title]
```

**Example:**

```
*Your kid's Minecraft addiction might be genius*
_Newsletter | OpenEd Daily 2026-01-28 | LinkedIn_

Every parent worries about screen time.

But here's what the research actually shows: kids who play Minecraft develop stronger spatial reasoning than kids who don't.

The key isn't less screens. It's intentional screens.

OpenEd angle: Contrarian take that validates flexible approaches
@handles: none

Source: OpenEd Daily - Jan 28
```

**Expected output per newsletter:**
- 2-3 LinkedIn suggestions
- 2-3 X suggestions
- 1-2 Instagram suggestions (with visual direction)
- 1-2 Facebook suggestions

**Total: 6-9 suggestions posted to #content-inbox for triage**

Users react with ✍️ to develop further or ✅ to approve as-is.

---

## Quick Reference

### Snippet Type → Template Mapping

| Type | Best Templates |
|------|----------------|
| hot_take | Contrarian, Paradox Hook, Binary Framing, Call BS |
| stat | Authority, Commentary, Data Story |
| how_to | List, Thread, Tips, Do's/Don'ts |
| quote | Quote + Hot Take, Commentary |
| story | Transformation, Day-in-Life |

### Voice Constraints (Always Apply)

- NO correlatives
- NO AI-isms
- Hyphens with spaces
- Brand account voice

---

## Related Skills

- `text-content` - Full template library
- `quality-loop` - Quality gates
- `opened-daily-newsletter-writer` - Newsletter source
- `x-posting` - X/Twitter scheduling

