Extract Stories from Linear

Mission

Connect to Linear, extract stories from as specified by user, identify recurring themes, and output structured theme data to themes-memory.md.

Process

Follow the Story Extractor agent instructions (agents/story-extractor.md) to systematically:

1. Connect to Linear MCP and fetch task details
2. Analyze story content for problems, insights, and emotional hooks
3. Identify recurring themes (minimum 5)
4. Structure theme extraction with all required sections
5. Write to themes-memory.md in poasting repository
6. Update Linear tasks with extraction confirmation

Execution Steps

Step 1: Verify Prerequisites

Check that required tools are available:

• Linear MCP installed and configured
• LINEAR_API_KEY set in .env file
• themes-memory.md path accessible: ./poasting/themes-memory.md

Step 2: Fetch Stories from Linear

Use Linear MCP commands to retrieve tasks POA-5 through POA-14:

// List all target issues
mcp__linear__list_issues({
  "team": "YOUR_TEAM_ID",
  "filter": {
    "id": {
      "in": ["POA-{X}", "POA-{Y}"]
    }
  }
})

// For each task, get full details including comments
mcp__linear__get_issue({
  "id": "POA-X",
  "include_comments": true
})

Rate Limit: 100 requests/minute. Batch requests when possible.

Step 3: Extract and Structure Themes

For each identified theme, create structured output with:

• Theme name
• Source task IDs
• Problem statement
• Emotional hook
• Key insight
• 5 content angles (Bold, Story, Problem-Solution, Data, Emotional)
• Source story excerpt

Minimum Output: 5 distinct themes

Step 4: Write to themes-memory.md

Location: ./poasting/themes-memory.md

Action:

• If file doesn't exist, create with header
• If file exists, APPEND new themes (preserve existing)
• Add extraction metadata timestamp

Step 5: Update Linear Tasks

Add confirmation comment to each processed task:

✅ Theme extracted: {Theme Name}
Extracted to themes-memory.md on {YYYY-MM-DD}

Validation Checklist

Before marking extraction complete:

• Minimum 5 themes extracted
• Each theme has all required sections
• Themes are distinct (>70% different)
• Source stories quoted accurately
• themes-memory.md written successfully
• Linear tasks updated with confirmations
• No hallucinated information
• Emotional authenticity preserved

Example Output

✅ Story Extraction Complete

Themes Extracted: n
Source Tasks: POA-X to POA-Y
Output File: themes-memory.md

Themes Identified:
1. First Money From Code (POA-5, POA-8)
2. Personal Pain → Product (POA-6, POA-9, POA-12)
3. Learning Intensity vs Environment (POA-7, POA-10)
4. Affordable Loss Decision Making (POA-5, POA-11)
5. The Quit Day (POA-5, POA-13)
6. Family-Influenced Products (POA-6, POA-14)
7. Creative Reactivation After Engineering (POA-8, POA-10)

Linear tasks updated with extraction confirmations.
Ready for content generation: /content-generate-drafts {theme}

Error Handling

If Linear MCP fails:

• Check .env for LINEAR_API_KEY
• Verify Linear MCP installation
• Confirm team ID is correct

If rate limit hit:

• Batch remaining requests
• Wait 60 seconds before retry

If stories are sparse:

• Extract what's available
• Flag for user follow-up in Linear comment

Next Steps

After successful extraction:

1. Review themes in themes-memory.md
2. Select theme for content generation
3. Run /content-generate-drafts {theme-name} to create variations

Or run full pipeline: /content-full-pipeline to execute all stages end-to-end