Refresh Ad Creatives with Data: ad-fatigue-refresh-ai-hive

Where this fits

Your ad account is showing a creepy pattern: the same video that crushed CTR last month now flatlines at half the spend. You don't want to burn the whole creative library—most of it still converts. You need to know which elements are exhausted and which hooks still hold. That's exactly the problem this skill addresses: it takes historical performance data (CTR, CVR, frequency, dates) and tells you what to keep, what to swap, and how to generate new variations—without a full rebuild.

Why agents benefit

• Data-driven fatigue diagnosis: ingests historical dates, frequency, CTR/CVR, and user feedback to produce a fatigue report per asset, not a blanket “everything is stale” verdict.
• Preserves winning variables: identifies which scripts, visuals, or hooks retain performance and only replaces the exhausted parts, reducing risk and production cost.
• Direct AI-HIVE OpenAPI integration: queries configs, uploads reference assets, snaps price, routes via COST_FIRST / SPEED_FIRST / SUCCESS_FIRST, then polls and downloads generated batches asynchronously.
• Structured output for humans: returns retention variables, substitution variables, new scripts, and a renewal batch—all reviewable before any billable generation is triggered.
• Asks only the right questions: if inputs are incomplete, it asks up to three clarifying questions instead of firing a long survey that stalls the workflow.

Practical scenarios

E-commerce brand scaling a bestseller

A DTC brand sees CTR drop from 2.1% to 1.2% after 3 weeks. The skill analyzes daily frequency and CTR curves, pinpoints that the opening hook is worn out while the product demo still performs, and generates 5 new opening variations with the same demo footage.

Short-drama platform optimizing paid installs

A short-drama buyer runs multiple creatives with different endings. The skill identifies that the “cliffhanger” ending has high CVR but the first 3 seconds cause skip. It keeps the ending, regenerates the intro, and routes generation via SPEED_FIRST to meet the campaign deadline.

Social content team refreshing creator-style ads

The team has a library of influencer clips. The skill separates always-on product shots from trend-dependent dialogue, keeping the former while replacing the latter with scripts matched to current platform slang. Output includes shot-by-shot scripts and generation prompts.

Add it to your agent workflow

Install the skill directly:

npx skills add wubin1836/ai-hive-agent-skills --skill ad-fatigue-refresh-ai-hive

Then prompt your agent like: “Detect ad fatigue for these 12 creatives from March data. Keep what works, suggest 3 replacement scripts for the tired ones, and queue a COST_FIRST generation batch.” The agent will produce a reviewable diagnosis and wait for your confirmation before spending on generation.

Compare before adopting

Before committing, compare across these dimensions:

• Quality signals: does it validate against your own performance data or just generic “best practices”?
• Maintenance freshness: check the GitHub repo for recent commits and issue responses—a skill that isn’t updated will break as APIs change.
• Alternatives: think of in-house rule-based scripts or other creative optimization APIs. What extra does the AI-HIVE integration give you?
• Workflow fit: does it slot into your existing ad ops pipeline, or does it require significant data cleaning and manual handoff?

Why it is worth tracking

This skill is niche but sharply focused on a real pain point: creative fatigue is a daily problem for growth teams, and few open-source skills connect fatigue detection with actual asset regeneration via an API. At 2 stars, community momentum is early, but the working OpenAPI integration and conservative “preserve what works” philosophy make it a practical candidate. Evaluate it when you have historical performance data and a need to refresh creatives continuously. For a quick reference on the skill’s positioning, see its OpenAgentSkill listing. If it proves stable, it could become a regular part of your ad optimization agent toolkit.