Score and Rewrite Ad Creatives with an AI-Hive Agent Skill

Where this fits

A paid-social media buyer has a new short-drama ad script but no reliable way to predict performance before spending budget. They paste the script, product facts, target platform, and audience into their agent, asking for a diagnostic. The skill turns this raw input into a prioritized scoring report that ranks which parts of the creative need rewriting first—without pretending to be a forecasting model. For developers, this fills the gap between "vague creative feedback" and an actionable, evidence-backed rewrite pipeline that can also call the AI-Hive OpenAPI to generate fresh footage when needed.

Why agents benefit

• Emits heuristic scores with evidence – The skill scores each creative dimension (hook, clarity, call-to-action, offer match) and attaches specific excerpts from the script or video timeline, so your agent can justify every recommendation instead of giving generic praise.
• Runs a three-step workflow without over-asking – It first confirms reference-material rights and target metrics, then reads metadata and splits the timeline, and finally delivers prioritized rewrites. It asks at most three clarifying questions when input is incomplete, keeping user friction low.
• Generates new versions via AI-HIVE OpenAPI – When the user wants a recreated asset, the skill configures quote queries, uploads reference media, snapshots prices, picks a routing strategy (COST_FIRST, SPEED_FIRST, SUCCESS_FIRST), polls async jobs, and downloads results—all handled by your agent.
• Guards against misuse – The skill refuses to produce unauthorized copies, false product claims, fake testimonials, or platform-rule violations, so your agent stays compliant while still being creative.
• Produces a reviewable plan before spending – It outputs a full break-down report, differentiation strategy, shot-by-shot script, and acceptance checklist before any paid generation task is submitted, giving the human a checkpoint.

Practical scenarios

Pre-publish audit for a Shopify dropshipping ad

A merchant uploads a 15-second UGC-style video and wants to know why it underperforms. The agent runs the heuristic score, highlights a weak opening hook and missing price anchor, then suggests three concrete rewrites for the first two seconds and the final call-to-action.

Short-drama creative refresh for a paid campaign

A media buyer has a 60-second short-drama clip with poor completion rate. The skill splits the timeline, identifies the plot twist that loses viewers, and proposes an alternative ending sequence. The agent then uses AI-HIVE OpenAPI to regenerate that segment with a COST_FIRST route and polls until the new footage is ready.

Sponsored content compliance check for a lifestyle brand

A creator agency needs to adapt a competitor's concept into an original script without violating platform rules. The skill validates the new script against known disallowed expressions, ensures the product claims are factual, and delivers a rewritten version that keeps the viral structure but changes the narrative and visuals.

Add it to your agent workflow

Install the skill in your agent environment:

npx skills add wubin1836/ai-hive-agent-skills --skill ad-creative-score-rewrite-ai-hive

Then invoke it in a prompt. For example:

Use ad-creative-score-rewrite-ai-hive. Here is my 30-second TikTok ad script, product facts, platform, audience, and target CPA. Score it and give me prioritized rewrites.

The agent will respond with the heuristic score, evidence excerpts, a list of issues ranked by priority, and optionally generate a new version once you approve the plan.

Compare before adopting

Before committing, compare this skill against alternatives on four dimensions: quality signals (does it provide evidence and a clear priority order, not just a number?), maintenance freshness (check the GitHub repo for recent commits and issue responsiveness), alternatives (other creative-scoring skills may rely on LLM-only heuristics without an integrated generation API), and workflow fit (does the three-question maximum and review-before-generate flow match how your team works?).

Why it is worth tracking

The skill currently has 2 stars and a single author, but its design is focused: it solves a real bottleneck for ad creatives by separating diagnosis from prediction and by integrating a paid-generation API. Watch for updates in the GitHub repo, community usage reports, and whether the author expands the OpenAPI coverage. If your agents handle e-commerce or short-drama content, evaluate this skill now—it is young but purpose-built, and the heuristic scoring approach keeps your agent honest. For a broader look at what agent skills like this can bring to your stack, see the skill's page on OpenAgentSkill.