Signal to Content
Turn evidence into original content.
This skill sits between research and production.
It should not produce a generic brainstorm from a trend name.
It should explain what worked, separate the reusable mechanic from the source's unique expression, score the opportunity, and create platform-native tests for the user's brand.
Inputs
Accept any combination of:
- trend brief
- outlier table
- creator teardown
- comments / audience language
- transcripts
- competitor research
- Pinterest keyword clusters
- article / news source
- user-provided examples
Use creator context when available.
Step 1 — Extract the Signal
For every source identify:
- observed performance signal
- hook mechanism
- format
- audience problem / desire
- emotional trigger
- proof mechanism
- visual pattern
- CTA pattern
- timing / freshness
- saturation
Do not confuse unique wording with a reusable mechanism.
Step 2 — Separate Mechanic from Expression
Create two columns:
Reusable Mechanic
Examples:
- before / after contrast
- myth vs evidence
- rapid checklist
- visual transformation
- first-person experiment
- comparison
- reveal
- contrarian question
- searchable tutorial
Source-Specific Expression
Examples:
- exact sentence
- proprietary brand asset
- personal story
- distinctive graphic
- copyrighted footage
- unique joke / character
Do not copy source-specific expression unless the user owns it or has permission.
Step 3 — Score the Opportunity
Use the toolkit's transparent heuristic:
Base Score
- Evidence strength: 30%
- Audience fit: 25%
- Freshness: 20%
- Repeatability: 15%
- Production ease: 10%
Then subtract a saturation penalty of up to 15 points.
Inputs should be 0–100.
This is a prioritization heuristic, not a validated prediction model.
The companion tool is:
tools/signal2content_score.py
Step 4 — Create Original Tests
For each high-priority signal create original executions.
Possible outputs:
- Reels / Shorts
- Pinterest Pins
- Instagram carousel
- LinkedIn post
- Article angle
- Newsletter
- visual-series brief
For every execution provide:
- Hook
- Core idea
- Format
- Visual direction
- Why it fits the audience
- What changed from the source pattern
- CTA
- KPI
Step 5 — Build the Content Ladder
A strong signal can become a sequence:
Signal → Fast Test → Winner → Series → Evergreen Asset → Website / Lead Magnet
Do not scale a concept before the first test provides evidence.
Output
Signal to Content Brief
Research Input
- Sources:
- Platforms:
- Window:
- Confidence:
Opportunity Table
| Signal | Reusable mechanic | Evidence | Fit | Freshness | Saturation | Score |
|---|
Source-Specific Elements Not to Copy
- ...
Original Content Tests
Test 1
- Platform:
- Hook:
- Format:
- Visual:
- Angle:
- Transformation from source:
- CTA:
- KPI:
Content Ladder
- Fast test:
- Follow-up:
- Series:
- Evergreen asset:
Review Gate
- Evidence is real and cited when available
- Source-specific expression was not copied
- The execution fits creator context
- Platform constraints are respected
- KPI matches the objective
Core Principle
Borrow the pattern. Rebuild the expression. Improve the system.