- name
- creative-performance-analyzer
- description
- Analyze creative performance post-launch across Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, and Amazon Ads inventory.
Ads Creative Performance
Purpose
Core mission:
- winner loser detection, fatigue signals, next-test matrix
This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.
When To Trigger
Use this skill when the user asks for:
- ad execution guidance tied to business outcomes
- growth decisions involving revenue, roas, cpa, or budget efficiency
- platform-level actions for: Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, Amazon Ads
- this specific capability: winner loser detection, fatigue signals, next-test matrix
High-signal keywords:
- ads, advertising, campaign, growth, revenue, profit
- roas, cpa, roi, budget, bidding, traffic, conversion, funnel
- meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp
Input Contract
Required:
- product_or_offer
- target_audience
- placement_scope
Optional:
- existing_assets
- brand_tone
- prohibited_claims
- creative_constraints
Output Contract
- Creative Objective
- Angle and Hook Set
- Asset Specification
- Test Variant Plan
- Creative QA Notes
Workflow
- Anchor creative goal to funnel stage and KPI.
- Generate angle family and hook variants.
- Map each angle to placement format requirements.
- Define variant matrix and test order.
- Add quality and compliance checkpoints.
Decision Rules
- If audience is cold, prioritize problem-agitation and proof-first hooks.
- If retargeting stage, prioritize offer clarity and urgency mechanics.
- If format limits are strict, simplify message hierarchy to one CTA.
Platform Notes
Primary scope:
- Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, Amazon Ads
Platform behavior guidance:
- Keep recommendations channel-aware; do not collapse all channels into one generic plan.
- For Meta and TikTok Ads, prioritize creative testing cadence.
- For Google Ads and Amazon Ads, prioritize demand-capture and query/listing intent.
- For DSP/programmatic, prioritize audience control and frequency governance.
Constraints And Guardrails
- Never fabricate metrics or policy outcomes.
- Separate observed facts from assumptions.
- Use measurable language for each proposed action.
- Include at least one rollback or stop-loss condition when spend risk exists.
Failure Handling And Escalation
- If critical inputs are missing, ask for only the minimum required fields.
- If platform constraints conflict, show trade-offs and a safe default.
- If confidence is low, mark it explicitly and provide a validation checklist.
- If high-risk issues appear (policy, billing, tracking breakage), escalate with a structured handoff payload.
Code Examples
Creative Brief Example
creative_id: CR-001 angle: pain_to_outcome hook: "Stop wasting ad budget in week one" formats: [9:16_video, 1:1_image]
Variant Matrix
V1: hook_change V2: CTA_change V3: visual_proof_change
Examples
Example 1: New hook generation
Input:
- Existing creatives have high frequency fatigue
- Need fresh top-funnel hooks
Output focus:
- new angle families
- hook library
- test priorities
Example 2: Asset adaptation by placement
Input:
- One hero concept, multiple platforms
- Need format-safe variations
Output focus:
- per-platform format specs
- copy-length adaptation
- QA checklist
Example 3: Pre-launch creative scoring
Input:
- 12 creatives pending launch
- Limited review bandwidth
Output focus:
- quality scores
- reject/rework decisions
- launch candidate shortlist
Quality Checklist
- [ ] Required sections are complete and non-empty
- [ ] Trigger keywords include at least 3 registry terms
- [ ] Input and output contracts are operationally testable
- [ ] Workflow and decision rules are capability-specific
- [ ] Platform references are explicit and concrete
- [ ] At least 3 practical examples are included