CTR Prediction Model

CTR Prediction Model is an AI Engineering skill for Claude Code, published by asgard-ai-platform in skills.

228 stars28 forkson asgard-ai-platform/skillsAdded 2026/09/03Repository updated 2026/06/06

ai-agentanthropicclaudeclaude-agent-skillsclaude-codecoding-agentknowledge-basemcpmethodologyopen-sourceprompt-engineeringskillstaiwan

Install in seconds

Install CTR Prediction Model

Copy CTR Prediction Model into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/asgard-ai-platform/skills/tree/main/algo-ad-ctr ~/.claude/skills/algo-ad-ctr

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/asgard-ai-platform/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: algo-ad-ctr/SKILL.md in asgard-ai-platform/skills
Installs to: ~/.claude/skills/algo-ad-ctr
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2793 skills

What CTR Prediction Model does

CTR Prediction Model estimates the probability that an ad will be clicked from user, query, ad, and position features. Use it for ad ranking, bid optimization, or evaluating creative performance.

CTR Prediction Model is cataloged under AI Engineering on DirSkills. CTR Prediction Model comes from a repository tagged ai-agent, anthropic, claude, claude-agent-skills and claude-code.

Documentation

README

Excerpt

CTR prediction estimates the probability that a user clicks on an ad given context (user, query, ad, position). Forms the core of ad ranking: AdRank = Bid × pCTR. Typically uses logistic regression or gradient-boosted trees. Training on billions of impressions.

When to Use

Trigger conditions:

Building or improving an ad ranking system
Predicting click probability for bid optimization
Evaluating ad creative effectiveness from feature analysis

When NOT to use:

When predicting post-click conversions (use conversion rate model)
When setting bid amounts (use bidding strategy skill)

Algorithm

This is the opening of the README. Read the full README on GitHub.

Frequently asked about CTR Prediction Model

What else does asgard-ai-platform publish alongside CTR Prediction Model?
CTR Prediction Model is one of 25 skills that DirSkills catalogs from asgard-ai-platform/skills, the repository it ships in. Its siblings there include ARIMA Time Series Model, Ad Bidding Strategies and Ad Budget Allocation. Each one is a separate skill with its own page in this directory, installs the same way CTR Prediction Model does, and is maintained by asgard-ai-platform in that same repository. The rest of the collection is listed on the asgard-ai-platform/skills page.
How does CTR Prediction Model compare to other AI Engineering skills?
CTR Prediction Model ranks #2499 by stars among the 2793 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of CTR Prediction Model against them. Open each page to compare what they document and how they install.