FreePublished on GitHub

deepctr

Use this DeepCTR repo skill for CTR/recommender feature columns, Keras models, sequence/session models, multitask models, and legacy TensorFlow Estimator workflows.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill

See how to install

Files included (32)

SKILL.md2.5 KB
references/installation-and-compatibility.md2.2 KB
references/repo-provenance.md1.3 KB
references/repo-routing-metadata.json318 B
references/troubleshooting.md3.0 KB
scripts/check_deepctr_env.py3.6 KB
sub-skills/data-and-feature-columns/references/data-formats.md7.1 KB
sub-skills/data-and-feature-columns/references/feature-columns.md12.4 KB
sub-skills/data-and-feature-columns/references/troubleshooting.md5.4 KB
sub-skills/data-and-feature-columns/scripts/validate_feature_spec.py32.9 KB
sub-skills/data-and-feature-columns/SKILL.md4.4 KB
sub-skills/estimator-workflows/references/api-reference.md8.9 KB
sub-skills/estimator-workflows/references/tfrecord-and-pandas.md9.1 KB
sub-skills/estimator-workflows/references/troubleshooting.md9.3 KB
sub-skills/estimator-workflows/scripts/check_estimator_runtime.py14.9 KB
sub-skills/estimator-workflows/SKILL.md3.2 KB
sub-skills/keras-model-workflows/references/api-reference.md11.4 KB
sub-skills/keras-model-workflows/references/model-catalog.md5.8 KB
sub-skills/keras-model-workflows/references/troubleshooting.md9.5 KB
sub-skills/keras-model-workflows/references/workflows.md10.8 KB
sub-skills/keras-model-workflows/scripts/keras_tiny_ctr_smoke.py6.8 KB
sub-skills/keras-model-workflows/SKILL.md3.5 KB
sub-skills/multitask-models/references/api-reference.md4.4 KB
sub-skills/multitask-models/references/troubleshooting.md2.9 KB
sub-skills/multitask-models/references/workflows.md4.7 KB
sub-skills/multitask-models/scripts/multitask_tiny_smoke.py6.3 KB
sub-skills/multitask-models/SKILL.md1.3 KB
sub-skills/sequence-models/references/api-reference.md5.1 KB
sub-skills/sequence-models/references/sequence-inputs.md6.2 KB
sub-skills/sequence-models/references/troubleshooting.md6.9 KB
sub-skills/sequence-models/scripts/sequence_tiny_smoke.py8.4 KB
sub-skills/sequence-models/SKILL.md3.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

DeepCTR

Use this repo skill when the task mentions DeepCTR, click-through-rate prediction, recommender models, sparse/dense feature columns, DIN/BST/DIEN/DSIN, multitask heads, or the legacy TensorFlow Estimator surface.

Install and verify

DeepCTR does not install TensorFlow for you. Install a TensorFlow build that matches your Python and platform, then install DeepCTR:

python -m pip install "numpy<2" "tensorflow<2.21"
python -m pip install deepctr

If you are using a TensorFlow 2.20-style stack with legacy Keras requirements, install the matching tf-keras package and set TF_USE_LEGACY_KERAS=1 before running DeepCTR. See references/installation-and-compatibility.md for compatibility notes.

Quick environment check:

python scripts/check_deepctr_env.py --json

Route by need

data-and-feature-columns for SparseFeat, DenseFeat, VarLenSparseFeat, hashing, vocabulary paths, and input schema validation.
keras-model-workflows for ordinary CTR/regression models, compile/fit/predict/save/load, and model selection.
sequence-models for DIN, BST, DIEN, DSIN, hist_/sess_ naming, and sequence/session debugging.
multitask-models for SharedBottom, ESMM, MMOE, PLE, and multi-output target packing.
estimator-workflows for tf.estimator, TFRecord/Pandas input functions, and runtime gating.

Read first

references/troubleshooting.md for cross-cutting install/import/version/GPU issues.
references/repo-provenance.md when you need to check freshness or decide whether this skill is stale.

Common starting point

If the user has not specified a model family yet, start with data-and-feature-columns when the problem is input shaping, otherwise keras-model-workflows for single-output model choice.

What this skill does not do

It does not tell you to open the original repository's examples or tests at runtime.
It does not require a GPU unless the user explicitly asks for GPU or multi-GPU execution.
It does not require Estimator workflows when tf.estimator is unavailable; in that case, use the Keras routes.

Reviews

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Comments

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Report a problem with this skill

Install

Install with a command

npx skills add https://github.com/VectorSpaceLab/AREX-Skill --skill deepctr

Paste it into your terminal and run it (requires Node.js). You can choose which agents to install it for, such as Claude Code or Codex.

Ask your agent

Please install the following Agent Skill.
https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/deepctr

First review SKILL.md and the bundled files and confirm there is nothing suspicious (such as sending data externally or reading credentials). Then place it in ~/.claude/skills/deepctr/ for Claude Code, or ~/.agents/skills/deepctr/ for Codex.

Send this text to Claude Code or Codex as is. It checks the contents before installing.

View source on GitHub

Repository: VectorSpaceLab/AREX-Skill
Stars: 338
Forks: 26
Category: Productivity
License: Apache-2.0
Original language: English
Last updated: Sep 3, 2026

A skill is a set of instructions and scripts for an agent. cccskills does not guarantee that skills are safe. Review the contents before you install.