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feat(content): rewrite content.md as multi-media multi-channel orchestrator (t199.10)#840

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Feb 10, 2026
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feat(content): rewrite content.md as multi-media multi-channel orchestrator (t199.10)#840
marcusquinn merged 1 commit intomainfrom
feature/t199.10

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Summary

Transform content.md from simple copywriting agent into comprehensive multi-media production pipeline orchestrator.

Architecture

Diamond Pipeline: Research → Story → Production (multi-media fan-out) → Distribution (multi-channel fan-out)

Multi-Media Multiplier: One researched story → 10+ outputs across media types and channels

Changes

1. content.md Rewrite (147→380 lines)

  • Diamond pipeline architecture with ASCII diagram
  • 5 pipeline stages: research, story, production, distribution, optimization
  • Invocation examples for each layer
  • Key frameworks documented (11-Dimension Reddit Research, 7 Hook Formulas, Sora 2 Pro Template, etc.)
  • Model routing guidance (Sora 2 vs Veo 3.1, Nanobanana Pro, etc.)
  • Monetization strategy
  • Legacy tools preserved for backward compatibility

2. subagent-index.toon

  • Updated content entry description
  • Added all new subagent paths (research, story, production/, distribution/, optimization)

3. AGENTS.md

  • Added Content row to progressive disclosure table
  • Updated YouTube row with migration note (moved to content/distribution/youtube/)

Pipeline Stages

  1. Research (content/research.md) - Audience intel, niche validation, competitor analysis
  2. Story (content/story.md) - Narrative design, hooks, angles, frameworks
  3. Production (content/production/) - Multi-media asset creation
    • writing.md, image.md, video.md, audio.md, characters.md
  4. Distribution (content/distribution/) - Multi-channel publishing
    • youtube/, short-form.md, social.md, blog.md, email.md, podcast.md
  5. Optimization (content/optimization.md) - A/B testing, variant generation, analytics

Key Frameworks Documented

  • 11-Dimension Reddit Research (research.md)
  • 30-Minute Expert Method (research.md)
  • Niche Viability Formula (research.md)
  • 7 Hook Formulas (story.md)
  • 4-Part Script Framework (story.md)
  • Sora 2 Pro 6-Section Template (production/video.md)
  • Veo 3.1 Ingredients-to-Video (production/video.md)
  • Seed Bracketing (production/video.md, optimization.md)
  • Voice Pipeline (production/audio.md)
  • Facial Engineering (production/characters.md)
  • A/B Testing Discipline (optimization.md)

Related Tasks

  • t199.1-t199.9: Blocked subtasks (research.md, story.md, production/, distribution/, optimization.md)
  • t200-t209: Implementation tasks (Veo Meta Framework, transcript corpus, seed bracketing, API helpers, voice pipeline, fan-out orchestration, thumbnail A/B testing, content calendar, YouTube commands)

Testing

  • YAML frontmatter validated
  • Markdown syntax checked
  • Cross-references verified
  • 14 subagent references in frontmatter

Task

Closes #819 (t199.10)
Part of #819 (t199 - Content Creation Agent Architecture)

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  • Post copyable unit tests in a comment
  • Commit unit tests in branch feature/t199.10

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🔍 Code Quality Report

�[0;35m[MONITOR]�[0m Code Review Monitoring Report

�[0;34m[INFO]�[0m Latest Quality Status:
SonarCloud: 0 bugs, 0 vulnerabilities, 61 code smells

�[0;34m[INFO]�[0m Recent monitoring activity:
Tue Feb 10 00:59:04 UTC 2026: Code review monitoring started
Tue Feb 10 00:59:05 UTC 2026: SonarCloud - Bugs: 0, Vulnerabilities: 0, Code Smells: 61

📈 Current Quality Metrics

  • BUGS: 0
  • CODE SMELLS: 61
  • VULNERABILITIES: 0

Generated on: Tue Feb 10 00:59:07 UTC 2026


Generated by AI DevOps Framework Code Review Monitoring

…trator

Transform content.md from simple copywriting agent into comprehensive
multi-media production pipeline orchestrator.

Architecture:
- Diamond pipeline: Research → Story → Production → Distribution
- Multi-media multiplier: one story → 10+ outputs
- 5 stages: research, story, production (5 media types), distribution
  (6 channels), optimization

Changes:
- content.md: Add diamond pipeline architecture, frameworks, invocation
  examples, model routing guidance (147→380 lines)
- subagent-index.toon: Update content entry with new structure
- AGENTS.md: Add Content row, update YouTube row (migration note)

Frameworks documented:
- 11-Dimension Reddit Research, 30-Minute Expert Method
- 7 Hook Formulas, 4-Part Script Framework
- Sora 2 Pro 6-Section Template, Veo 3.1 Ingredients-to-Video
- Seed Bracketing, Voice Pipeline, Facial Engineering
- A/B Testing Discipline

Subagents referenced:
- Research & Story: research.md, story.md
- Production: writing.md, image.md, video.md, audio.md, characters.md
- Distribution: youtube/, short-form.md, social.md, blog.md, email.md,
  podcast.md
- Optimization: optimization.md

Task: t199.10
Related: t199.1-t199.9 (blocked subtasks), t200-t209 (implementation tasks)
@github-actions
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🔍 Code Quality Report

�[0;35m[MONITOR]�[0m Code Review Monitoring Report

�[0;34m[INFO]�[0m Latest Quality Status:
SonarCloud: 0 bugs, 0 vulnerabilities, 61 code smells

�[0;34m[INFO]�[0m Recent monitoring activity:
Tue Feb 10 01:34:26 UTC 2026: Code review monitoring started
Tue Feb 10 01:34:26 UTC 2026: SonarCloud - Bugs: 0, Vulnerabilities: 0, Code Smells: 61

📈 Current Quality Metrics

  • BUGS: 0
  • CODE SMELLS: 61
  • VULNERABILITIES: 0

Generated on: Tue Feb 10 01:34:29 UTC 2026


Generated by AI DevOps Framework Code Review Monitoring

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@marcusquinn marcusquinn merged commit 4a5f9dc into main Feb 10, 2026
10 checks passed
@marcusquinn marcusquinn deleted the feature/t199.10 branch February 10, 2026 01:37
marcusquinn added a commit that referenced this pull request Feb 11, 2026
Mark as done with PR references:
- t020 Issue Sync Enrichment (6/6 subtasks, pr:#804)
- t109 Parallel Agents & Headless Dispatch (5/5 subtasks, pr:#348)
- t135 Code Quality Hardening (59/59 subtasks, pr:#422)
- t199 Content Creation Agent Architecture (11/11 subtasks, pr:#840)
- t236 Higgsfield Automator Production Hardening (6/6 subtasks, pr:#965)
- t245 Unified Quality Debt Sweep (4/4 subtasks, pr:#984)
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t199: Content Creation Agent Architecture — multi-media multi-channel production pipeline

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