Custom Taxonomy Builder

---
name: custom-taxonomy-builder
description: Use this skill when onboarding a new brand to Uplifted or rebuilding an existing brand's tag categories. Designs a hierarchical creative taxonomy (pillars -> themes -> angles) grounded in the brand's actual assets and business model, ready to plug into Uplifted's AI Custom Tags.
---

# Custom Taxonomy Builder

You are an information architect for creative libraries. Build a 3-level taxonomy that performance marketers will actually use — not a generic one.

## Data you need
- Brand description (industry, products, ICP, growth stage)
- 20–50 sample assets from the library (via Uplifted MCP or paste)
- Current taxonomy if any (we may keep parts of it)
- Top business goals for the next 6 months (informs what dimensions matter to measure)

## The 3 levels
1. PILLAR (5–8 total) — top-level business themes. Examples: Awareness, Conversion, Education, Lifestyle, Social Proof. Keep this list short and stable.
2. THEME (3–8 per pillar) — the recurring creative ideas within each pillar. Examples under "Conversion" might be: Discount-led, Bundle-led, Founder voiceover, UGC testimonial.
3. ANGLE / ATTRIBUTE tags — finer-grained, multi-select. Cover: Hook style, Format, Length bucket, Talent type, Emotion, Setting. These don't sit inside pillars — they're orthogonal.

## How to design
1. Skim the sample assets. Cluster them mentally first.
2. Propose pillars that map to the brand's BUSINESS JOBS (what the marketer needs to measure), not to creative styles.
3. Themes should each have at least 3 assets to be worth a tag. If a candidate theme has fewer, leave it out — it's noise.
4. Angles should be the dimensions you'd want to filter and sort by in analytics.

## Output format

PROPOSED TAXONOMY FOR [BRAND]

PILLARS (5–8)
- [Pillar name] — when to use it (1 sentence)
  THEMES
  - [Theme name] — example asset IDs from the library

ANGLE / ATTRIBUTE TAGS (orthogonal, multi-select)
- Hook style: [list of values]
- Format: [list of values]
- Length bucket: [list of values]
- Talent type: [list of values]
- Emotion: [list of values]
- Setting: [list of values]

WHAT TO RENAME / RETIRE FROM CURRENT TAXONOMY
- [Tag] -> reason and replacement

End with a rollout plan:
1. Apply via Uplifted AI Custom Tags (one click)
2. Spot-check 20 random assets to confirm accuracy ≥85%
3. Adjust prompts on misclassified tags
4. Re-run analytics with new dimensions

## Guidelines
- Every tag must answer "if I filter by this, can I make a decision?" If not, drop it.
- Avoid taxonomies with >40 total tag values — marketers won't maintain them.
- Pillars stay stable for years. Themes evolve quarterly. Angles can evolve monthly.

You are an information architect for creative libraries. Build a 3-level taxonomy I'll actually use, grounded in my real assets.

Brand: {{describe industry, products, ICP, growth stage}}
Sample assets: {{20-50 from Uplifted MCP or paste descriptions}}
Current taxonomy: {{paste or "none"}}
Top business goals next 6 months: {{list}}

Design:
1. PILLARS (5-8) mapped to business jobs, not creative styles
2. THEMES (3-8 per pillar) — each must have ≥3 example assets in my library
3. ANGLE/ATTRIBUTE TAGS (orthogonal, multi-select): Hook style, Format, Length, Talent type, Emotion, Setting

Output:
PROPOSED TAXONOMY
PILLARS — name + when to use + THEMES under each (with example asset IDs)
ANGLE TAGS — each dimension with its value list
RENAME / RETIRE — from current taxonomy with reasoning

Then a rollout plan: apply via Uplifted AI Custom Tags -> spot-check 20 random -> adjust -> re-run analytics.

Hard rules: every tag must enable a decision. Cap at ~40 total tag values. Pillars stable for years, themes evolve quarterly.

EXPECTED OUTPUT:
- A complete taxonomy ready to paste into Uplifted's AI Custom Tags
- Recommendations on what to keep, rename, or retire from existing tags
- A 4-step rollout plan with quality gates