Ranking: Better Search
Learning to Rank in TensorFlow is a tool that enables training and evaluation of ranking models using TensorFlow, helping founders to build and optimize models for tasks like search, recommendation, and personalized content delivery
- •When building a search engine that requires ranking of relevant results
- •When developing a recommendation system that needs to rank items based on user preferences
- •When optimizing content delivery systems that rely on ranking algorithms
python train.py --train_path=<path_to_train_data> --eval_path=<path_to_eval_data> --model_dir=<path_to_save_model>
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/ranking && curl -fsSL https://workflowstacks.com/api/skills/ranking/claude-skill -o ~/.claude/skills/ranking/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Ranking: Better Search is a large Python project (~37k lines across 83 code files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 30 months ago, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/ranking && curl -fsSL https://workflowstacks.com/api/skills/ranking/claude-skill -o ~/.claude/skills/ranking/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Rank Tracker
A weekly email of where you actually rank on Google.
Includes the tested workflow and a written setup playbook. Needs: SerpAPI key (free tier).
Related skills
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