Relearning Content

Relearning Content Creator

Creates structured journal entries or project pages following a cognitive engineering philosophy and Astro content schema.

The Philosophy

Core Mission: Apply enterprise-grade engineering discipline to the messy reality of being human. Debug sleep, focus, and decision-making as if they were mission-critical infrastructure.

The Lens: Every human problem is reframed as a systems engineering problem. We don't moralize; we diagnose. We don't motivate; we architect.

The Promise: No hype. Just honest metrics. If something failed, log it. If a belief was wrong, document the update.

When to use this skill

USE THIS SKILL when the user:

• Wants to create a new journal entry
• Wants to add a new project page
• Says "new journal", "new entry", "write about [topic]"
• Provides content/ideas and wants them formatted for the site
• Wants to document a project, tool, or system they've built

IMPORTANT: This skill creates content files. After content is finalized:

1. Use create-script skill to condense + add paralinguistic tags → saves .txt
2. Use voiceover skill on the .txt file → generates .mp3 + deploys + pushes

Workflow Architecture (CRITICAL)

Your role as the main agent is REVIEWER, not drafter.

The google-search subagent handles:

• Research (finding sources, opposing views)
• Drafting (writing the complete journal entry)
• Citation integration

You handle:

• Repository sync and file management
• Tone/consistency review against standards
• Iteration requests if draft doesn't match voice
• Final file creation and audio pipeline

User provides topic/content
        ↓
Step 0: Git pull + determine entry number
        ↓
Step 1: Spawn google-search subagent to DRAFT
        - Subagent researches topic
        - Subagent writes complete journal entry
        - Subagent returns full markdown
        ↓
Step 2: YOU review for tone/consistency
        - Does it match the voice?
        - Engineering metaphors present?
        - Fallacy → Model → Protocol structure?
        - Memorable one-liner ending?
        ↓
Step 3: If lacking, send back to subagent with feedback
        ↓
Step 4: Save final draft to entry-XXX.md
        ↓
Step 5: Present to user for approval
        ↓
Step 6: Audio pipeline (create-script → voiceover)

How to Execute This Skill

Step 0: Sync Repository (ALWAYS DO THIS FIRST)

cd ~/projects/your-site && git pull origin main
ls src/content/journal/
date +%Y-%m-%d  # Get today's date for the entry

Determine the next entry number (e.g., if entry-013.md exists, next is entry-014.md).

CRITICAL: Use TODAY'S DATE as the publish date. Run date +%Y-%m-%d to get the current date. Do NOT use the date from the user's notes - that is their draft date, not the publish date.

Step 1: Delegate Drafting to google-search Subagent

Spawn the subagent with the user's content and request a complete draft:

Task(subagent_type="google-search", prompt="Draft a journal entry on the following topic:

[USER'S CONTENT/IDEAS HERE]

Requirements:
1. Research the topic thoroughly - find relevant studies, frameworks, and opposing viewpoints
2. Write a complete journal entry following the style guide (see your instructions)
3. Use the Fallacy → Model → Protocol structure
4. Include at least 3 citations with proper references
5. End with a memorable one-liner
6. Return the complete markdown file ready for publication

Entry number: entry-XXX
Date: YYYY-MM-DD")

Step 2: Review the Draft for Tone/Consistency

When the subagent returns, check:

Voice Checklist:

• Title follows "The [Technical Noun]: [Subtitle]" pattern
• Engineering metaphors used throughout (not generic self-help language)
• Problems framed as bugs/inefficiencies, solutions as protocols/patches
• Academic rigor - citations present with author, year
• Summary is systems-framed, 1-2 sentences
• At least 3 highlights with metrics/sources
• Opening hook is personal/specific, not generic
• Fallacy section identifies legacy thinking
• Model section cites named frameworks with authors
• Protocol section has numbered phases
• Ends with memorable, quotable one-liner
• References section complete

Red Flags (send back for revision):

• Generic motivational language ("unlock your potential", "achieve your dreams")
• Missing citations or vague claims
• No engineering/technical metaphors
• Protocol section too abstract (needs concrete actions)
• Weak or missing one-liner ending

Step 3: Iterate if Needed

If the draft doesn't match the voice, spawn the subagent again with specific feedback:

Task(subagent_type="google-search", prompt="Revise this draft:

[PASTE DRAFT HERE]

Issues to fix:
1. [Specific issue - e.g., 'Opening hook is too generic, needs a specific incident']
2. [Specific issue - e.g., 'Missing engineering metaphor for willpower concept']
3. [Specific issue - e.g., 'Protocol section needs concrete metrics']

Return the revised complete markdown.")

Step 4: Save the Final Draft

Once the draft passes review, save it:

# Write to entry file
~/projects/your-site/src/content/journal/entry-XXX.md

Step 5: Present to User

Show the user:

• The filename created
• A summary of the content
• The highlights/key takeaways
• Ask for any revisions

Step 6: Audio Pipeline (After User Confirms)

Once user approves, execute the two-step audio pipeline:

Step 6a: Create Voiceover Script

Use the create-script skill to condense and add paralinguistic tags.

Step 6b: Generate Audio

Run the voiceover command and only verify it started (do not poll for progress):

cd ~/projects/chatterbox && nohup uv run python archive/voiceover_script.py \
  -i archive/entry-XXX.txt \
  -o archive/entry-XXX.mp3 \
  --entry entry-XXX \
  --push > voiceover.log 2>&1 &

Then verify it started:

sleep 5 && head -10 ~/projects/chatterbox/voiceover.log

DO NOT poll for progress repeatedly. Trust that the script will complete and push. The user will receive a desktop notification when done.

Tell the user:

• Voiceover generation launched in background
• They will receive a desktop notification when complete
• Can monitor with: tail -f ~/projects/chatterbox/voiceover.log

Project Location

Repository Path: ~/projects/your-site (configure to your setup)

• Journal entries: src/content/journal/entry-XXX.md
• Project pages: src/content/projects/[slug].md

Content Schemas

Journal Entry Schema

---
title: "The [Metaphor]: [Subtitle with Engineering Framing]"
date: "YYYY-MM-DD"
summary: "[1-2 sentence hook with systems/engineering lens]"
status: "Published"
category: "Relearn [Life|Engineering|Work] / [Subcategory]"
highlights:
  - "Key Takeaway 1: [Actionable insight]"
  - "Key Takeaway 2: [Framework or model]"
  - "Key Takeaway 3: [Protocol or implementation]"
audioUrl: "/audio/entry-XXX.mp3"
---

Project Page Schema

---
title: "[Project Name]: [Subtitle]"
date: "YYYY-MM-DD"
description: "[1-2 sentence description]"
repoUrl: "https://github.com/yourusername/[repo]"
demoUrl: "[URL]"
techStack: ["Tech1", "Tech2", "Tech3"]
audioUrl: "/audio/[slug].mp3"
---

Voice Reference (For Your Review)

Good Examples (Match This Tone)

Titles:

• "The Physics of Productivity: Mastering the Input/Output Ratio"
• "The Asymptote of Effort: Overcoming the Iron Law of Diminishing Returns"
• "Memoization: The Architecture of Cognitive Caching"

Summaries:

• "A system running at 100% utilization with 0% throughput is not 'dedicated'—it is broken."
• "Most human exhaustion comes from re-computing solved problems."

One-Liners:

• "Stop watching reality. Start predicting it."
• "Stop calculating. Start retrieving."
• "Stop acquiring tools. Start becoming them."

Bad Examples (Reject This Tone)

• "Unlock your full potential with these 5 simple steps"
• "The secret to success is believing in yourself"
• "Transform your life with the power of positive thinking"

Quick Reference: Technical Metaphors

Astro Markdown Rules

• NO markdown tables (use bullet lists)
• NO code blocks with language hints
• ASCII-safe frontmatter (spell out special characters)
• NO raw HTML
• NO footnotes (use [1] citation style with References section)

Important Reminders

• Delegate drafting to google-search subagent
• Your job is review for tone/consistency
• Iterate if needed - send back with specific feedback
• Only verify voiceover started - don't poll for progress
• Trust the pipeline - script handles deploy + push + notification

The Workflow:

Git Pull → Subagent Drafts → You Review → Iterate if Needed → Save → User Confirms → create-script → voiceover (fire and forget) → Done!