By The Agent Ledger — AI-native social media system for solopreneurs.
Your agent manages your social presence across platforms — scheduling, repurposing, tracking engagement, and telling you what's actually working.
What This Does
Most solopreneurs know they should post consistently but can't sustain it. This skill turns your AI agent into a social media manager that:
- Maintains a posting queue per platform with scheduled dates
- Tracks engagement metrics (likes, comments, shares, clicks) per post
- Identifies what's working through weekly performance analysis
- Repurposes content across platforms (one idea → 5 posts)
- Suggests optimal posting times based on your engagement data
- Monitors reply/DM triage priorities
- Runs weekly social media reviews with actionable insights
Setup
Step 1: Create State File
Create social-media/social-state.md in your workspace:
# Social Media State
## Platforms
| Platform | Handle | Status | Posting Cadence | Best Times |
|----------|--------|--------|-----------------|------------|
| Twitter/X | @yourhandle | Active | 5x/week | 9am, 12pm, 5pm |
| LinkedIn | /in/yourname | Active | 3x/week | 8am, 12pm Tue-Thu |
| Reddit | u/yourname | Active | 2x/week | 10am, 7pm |
## Content Pillars
1. [Your expertise topic] — educational, how-to
2. [Your story/journey] — behind-the-scenes, lessons learned
3. [Industry commentary] — opinions, trends, reactions
4. [Community engagement] — questions, polls, responses
## Voice Notes
- Tone: [casual/professional/witty/authoritative]
- Emoji usage: [none/minimal/moderate/heavy]
- Hashtag strategy: [none/1-2 per post/platform-specific]
Step 2: Create Queue File
Create social-media/queue.md:
# Social Media Queue
## Drafts (Ready to Post)
| # | Platform | Content | Pillar | Scheduled | Status |
|---|----------|---------|--------|-----------|--------|
| 1 | Twitter | [draft text] | Education | Mon 9am | Ready |
| 2 | LinkedIn | [draft text] | Journey | Tue 8am | Ready |
## Ideas (Need Drafting)
- [Topic idea from article/conversation/trend]
- [Repurpose from newsletter #X]
- [React to [trending topic]]
## Posted (Last 7 Days)
| Date | Platform | Content Preview | Likes | Comments | Shares | Clicks |
|------|----------|----------------|-------|----------|--------|--------|
Step 3: Add to AGENTS.md
## Social Media
- Check `social-media/queue.md` when I ask about social content
- Draft posts matching my voice profile in `social-media/social-state.md`
- Track engagement metrics when I share them
- NEVER auto-post — always draft and wait for approval
- Repurpose long-form content (newsletters, blogs) into platform-native posts
Usage Patterns
"Draft this week's social posts"
Agent reviews content pillars, recent posts, upcoming content calendar items, and drafts a week of posts across all active platforms. Balances pillars and varies formats (text, thread, question, hot take).
"Log engagement for [post]"
Agent updates the Posted table with metrics. Over time, builds a dataset of what performs.
"What's working on [platform]?"
Agent analyzes recent engagement data:
- Top-performing post types (threads vs. single, questions vs. statements)
- Best posting times (actual data vs. assumptions)
- Which content pillars get most engagement
- Follower growth trends
- Engagement rate calculations
"Repurpose [content] for social"
Agent takes a newsletter, blog post, or long-form piece and creates platform-native versions:
- Twitter/X: Thread (5-8 tweets) + standalone hook tweet
- LinkedIn: Professional narrative version (~200 words)
- Reddit: Discussion-style post with genuine question angle
- Instagram: Carousel concept (slide-by-slide text)
"Social media review"
Weekly performance review format:
## Weekly Social Review — [Date Range]
### Performance Summary
| Platform | Posts | Avg Likes | Avg Comments | Best Post | Worst Post |
|----------|-------|-----------|-------------|-----------|------------|
### What Worked
- [Specific post] got [X] engagement because [analysis]
### What Didn't
- [Specific post] underperformed because [analysis]
### Recommendations
1. Post more [type] on [platform] — consistently 2x avg engagement
2. Reduce [type] — below average 3 weeks running
3. Test [new approach] based on [trend/data]
### Next Week's Focus
- Pillar emphasis: [based on what's working]
- Experiments to run: [one new format/time/topic]
"Batch-create content from [source]"
Agent takes one source (podcast, article, experience) and generates a full content batch:
- 3 tweets (different angles)
- 1 LinkedIn post
- 1 Reddit discussion
- 3 Instagram caption options
- 1 thread outline
"Triage my replies/DMs"
Agent reviews pending social interactions and prioritizes:
- 🔴 Respond now: Potential leads, partnership offers, direct questions
- 🟡 Respond today: Meaningful comments, community engagement
- 🔵 Optional: Generic likes, simple agreements
- ⚫ Skip: Spam, trolls, no-value interactions
Posting Time Optimization
After 2+ weeks of engagement data, agent can analyze optimal times:
## Optimal Posting Times (Based on [X] posts)
### Twitter/X
| Day | Best Time | Avg Engagement | Sample Size |
|-----|-----------|---------------|-------------|
| Mon | 9:15 AM | 47 interactions | 8 posts |
| Tue | 12:30 PM | 62 interactions | 6 posts |
...
### Confidence Level
- High (20+ data points): Mon, Wed, Thu
- Medium (10-19): Tue, Fri
- Low (<10): Sat, Sun — need more data
Content Pillar Rotation
Prevent repetitive content by tracking pillar distribution:
## Pillar Distribution (Last 30 Days)
| Pillar | Posts | % | Target % | Status |
|--------|-------|---|----------|--------|
| Education | 12 | 40% | 35% | ✅ On track |
| Journey | 6 | 20% | 25% | ⚠️ Slightly under |
| Commentary | 8 | 27% | 25% | ✅ On track |
| Community | 4 | 13% | 15% | ⚠️ Slightly under |
Platform-Specific Notes
Twitter/X
- Threads outperform single tweets 2-3x on average
- Hook tweet is everything — spend 50% of effort on first line
- Quote tweets with commentary > plain retweets
- Reply-to-self threads keep engagement in one place
- First line appears in feed preview — make it a hook
- Personal stories outperform corporate content
- Formatting matters: short paragraphs, line breaks, occasional emoji
- Best engagement: Tue-Thu mornings
- Genuine discussion > self-promotion (communities detect and punish shilling)
- Build karma with valuable comments before posting own content
- Match subreddit culture and norms exactly
- Never cross-post the same content to multiple subs simultaneously
- Carousel posts get 3x more engagement than single images
- Caption structure: hook → value → CTA → hashtags
- Stories for behind-the-scenes, posts for polished content
- Reels algorithm favors consistent posting cadence
Customization
Multi-Account Management
Track separate accounts (personal + business, multiple brands):
## Accounts
| Account | Platform | Purpose | Voice | Cadence |
|---------|----------|---------|-------|---------|
| @personal | Twitter | Thought leadership | Casual, witty | 3x/week |
| @business | Twitter | Product updates | Professional | 5x/week |
| @personal | LinkedIn | Career/networking | Professional | 2x/week |
Engagement Goals
Set measurable targets:
## Monthly Goals — [Month]
| Platform | Metric | Target | Current | Status |
|----------|--------|--------|---------|--------|
| Twitter | Followers | +200 | +147 | 🟡 73% |
| Twitter | Avg likes/post | 25 | 31 | ✅ 124% |
| LinkedIn | Post impressions | 5,000 | 3,200 | 🟡 64% |
Content Templates
Save reusable post structures:
## Templates
### Hot Take
"Unpopular opinion: [contrarian view]\n\n[3 supporting points]\n\nHere's why this matters: [one sentence]"
### Thread Hook
"I [did X] and learned [Y].\n\nHere are [N] lessons (thread 🧵):"
### Question Post
"Genuine question for [audience]:\n\n[question]\n\nI'll go first: [your answer]"
Integration with Other Skills
| Skill | Integration |
|---|---|
| content-calendar | Pull scheduled posts into social queue; social metrics inform content strategy |
| writing-assistant | Draft posts using voice profile; edit for platform-specific constraints |
| research-assistant | Find trending topics, competitor analysis, hashtag research |
| solopreneur-assistant | Social media as a business growth channel; weekly review feeds into business dashboard |
| habit-tracker | Track daily posting consistency as a habit |
| financial-tracker | Attribute revenue to social-sourced leads |
Troubleshooting
| Issue | Fix |
|---|---|
| Posts sound generic | Update voice notes in social-state.md with specific examples of your style |
| Same pillar every week | Check pillar distribution table; explicitly request underrepresented pillars |
| No engagement data | Manually log metrics for 2 weeks to build baseline |
| Queue always empty | Set up weekly batch session (every Sunday, draft next week's posts) |
| Platform voice mismatch | Add per-platform voice notes (casual on Twitter, professional on LinkedIn) |
Privacy & Safety
- Never auto-post. All content is drafted for your review.
- No API credentials stored in state files. Posting happens manually or through your own connected tools.
- Engagement data stays local. Your analytics are in your workspace only.
- No competitor data scraping. Research uses public web search only.
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