gh-rpiplewar-shipfaster-content-gen/commands/content-generate-drafts.md

description

description
Generate 5 content variations for a theme using parallel multi-agent approach

Generate Content Drafts

Arguments

$ARGUMENTS - Theme name from themes-memory.md

Mission

Generate 5 unique content variations for the specified theme by spawning 5 parallel sub-agents, each targeting different cognitive bias combinations and content structures.

Process

Follow the Draft Generator agent instructions (agents/draft-generator.md) to:

1. Read theme details from themes-memory.md
2. Spawn 5 parallel sub-agents (CRITICAL: simultaneous, not sequential)
3. Collect sub-agent outputs (5 variations)
4. Write to content-drafts.md with proper formatting

Execution Steps

Step 1: Read Theme from themes-memory.md

Target Theme: $ARGUMENTS

Extract:

• Theme name and problem statement
• Emotional hook and key insight
• All 5 content angles
• Source story excerpts

If theme not found: List available themes and ask user to retry with correct name.

Step 2: Spawn 5 Parallel Sub-Agents

CRITICAL: Use single message with 5 Task tool calls to spawn all sub-agents simultaneously.

Each sub-agent receives self-contained prompt with:

• Full theme details
• Specific bias activation strategy
• Content structure requirements
• Hook-Content-CTA framework
• Character limits (280 single or 4-6 tweet thread)

Sub-Agent Assignments:

1. Bold Statement Generator

   • Biases: Contrast-Misreaction + Authority-Misinfluence
   • Structure: Shocking opening → Contrast → Authority evidence → CTA

2. Story Hook Generator

   • Biases: Curiosity Tendency + Liking/Loving Tendency
   • Structure: Open-loop question → Personal story → Vulnerability → Resolution

3. Problem-Solution Generator

   • Biases: Social-Proof + Reciprocation + Reward/Punishment
   • Structure: Problem statement → Social proof → Solution value → Free insight

4. Data-Driven Generator

   • Biases: Authority + Reason-Respecting + Availability-Misweighing
   • Structure: Surprising stat → Reasoning → Concrete example → Implication

5. Emotional Lollapalooza Generator

   • Biases: Liking + Stress-Influence + 5+ biases converging
   • Structure: Emotional hook → Stress creation → Relief → Multi-bias activation

Step 3: Quality Check Each Variation

Verify:

• Content factually accurate (matches source stories)
• Target biases clearly activated
• Structure follows assigned format
• Character limits respected
• No meta-commentary (pure content)

Step 4: Write to content-drafts.md

Location: /home/rpiplewar/fast_dot_ai/poasting/content-drafts.md

Format:

## Theme: {Theme Name}
**Source:** {Linear Task ID}

### Variation 1: Bold Statement
**Content:**
{Generated content}

**Biases Targeted:** Contrast-Misreaction, Authority-Misinfluence

**Scores:**
[To be filled by Scorer agent]

---

### Variation 2: Story Hook
...

Action: APPEND to file (don't overwrite existing content from other themes)

Validation Checklist

Before marking generation complete:

• All 5 variations generated
• Each variation targets DIFFERENT bias combinations
• All content factually accurate
• Variations >70% structurally different
• content-drafts.md updated successfully
• No meta-commentary in output
• Character limits respected
• Hook-Content-CTA structure followed

Example Output

✅ Draft Generation Complete

Theme: First Money From Code
Variations Generated: 5

1. Bold Statement (Contrast + Authority)
2. Story Hook (Curiosity + Liking)
3. Problem-Solution (Social Proof + Reciprocation)
4. Data-Driven (Authority + Reason-Respecting)
5. Emotional Lollapalooza (6 biases)

Output File: content-drafts.md

Next Step: Run /content-score-all to apply framework scoring

Error Handling

If theme not found:

• List available themes from themes-memory.md
• Ask user to specify correct theme name

If sub-agent fails:

• Retry that specific sub-agent only
• Don't re-run all 5

If variations too similar:

• Regenerate similar variation with stronger bias differentiation

Next Steps

After successful generation:

1. Review variations in content-drafts.md
2. Run /content-score-all to apply automated scoring
3. Or continue with full pipeline if running /content-full-pipeline