Marketing Content

Marketing Content

Turn research signals into concrete text variants per format and platform. Each variant is traceable to a specific signal — no generic output.

Trigger: /marketing-content or /marketing-content [topic]

Second step in the marketing pipeline: /marketing-research → /marketing-content → /marketing-screenshots

PHASE 0: Input & Context

Research auto-detect:

Search for .project/thinking/*-marketing-research.md. If found:

• Load the SCOPE ANCHORS section (topic, target audience, channels, trajectory labels)
• Load the Signal Analysis section (platform temperatures, sentiment conflict)
• Load the Audience Language section (exact words and frames used by the audience)
• Confirm to the user which research file was loaded

If not found: ask for a free-text description of the topic and target audience.

Format selection via AskUserQuestion:

header: "Format"
question: "What type of content do you want to generate?"
options:
  - label: "Social post (Recommended)", description: "Twitter/X, LinkedIn, Instagram"
  - label: "Email subject line", description: "3-5 variants for A/B test"
  - label: "Ad headline", description: "Google/Meta — max 30 characters"
  - label: "Landing page section", description: "Hero headline + subline"
multiSelect: true

Platform selection (only if Social post chosen) via AskUserQuestion:

header: "Platform"
question: "Which platform?"
options:
  - label: "Twitter/X (Recommended)", description: "Max 280 characters, direct tone"
  - label: "LinkedIn", description: "Professional, more context allowed"
  - label: "Instagram", description: "Visual, caption + hashtags"
multiSelect: true

Tone/voice selection via AskUserQuestion:

header: "Tone"
question: "Which tone fits this brand or campaign?"
options:
  - label: "Informative (Recommended)", description: "Clear, factual, educational — builds trust"
  - label: "Urgent", description: "Action-driven, time-bound — pushes to decision"
  - label: "Provocative", description: "Sharp, challenging, bold — captures attention"
  - label: "Inspiring", description: "Motivating, aspirational — connects emotionally"
multiSelect: false

Use the selected tone as a style constraint in PHASE 2: every variant must consistently reflect the selected tone, even if the trajectory label suggests a different direction.

PHASE 1: Distill Messaging Angles

Map the strongest research signals to messaging frames:

Select the 3 strongest angles based on available signals. If no research is available: use Competitor Differentiation, Audience Mirror, and Problem/Solution as default angles.

Present:

MESSAGING ANGLES

1. {angle name} — {frame} — based on: {signal + source}
2. {angle name} — {frame} — based on: {signal + source}
3. {angle name} — {frame} — based on: {signal + source}

PHASE 2: Generate Variants

Per chosen format: generate 3-5 variants, spread across the messaging angles.

Length and tone rules per format:

Each variant contains:

• The text (length rule respected)
• Angle: which messaging frame
• Signal: which research signal justifies this
• Trajectory: acute_rise / plateau / comeback / zombie (if applicable)

No generic text allowed. If a variant is not traceable to a concrete signal or one of the angles, do not write it.

Present per format:

{FORMAT} — {platform}

Variant 1:
"{text}"
Angle: {frame} | Signal: {signal} | Trajectory: {label}

Variant 2:
...

PHASE 3: Save

Save to .project/thinking/{topic}-marketing-content.md.

Show next steps:

Next steps:
- /marketing-screenshots — screenshots + visuals for launch
- /marketing-research — new research round for another topic

Guidelines

Formatting:

• NEVER blockquote syntax (>) — unreadable background in dark terminals
• NEVER backticks for emphasis on regular words — use bold
• Backticks only for code, file paths, and command references

Language: Follow the Language Policy in CLAUDE.md.