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Search Engineering , found 29 results

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Enterprise LLM Engineering

sickn33/antigravity-awesome-skills

Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.

Enterprise LLM Engineering

sickn33/antigravity-awesome-skills

Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.

LLM Product Engineering

sickn33/antigravity-awesome-skills

Guides AI product engineers in shipping reliable LLM-powered features by treating prompts as code, validating outputs, streaming progress, versioning prompts, and monitoring cost and safety in production.

AI Wrapper Product Design

ai-wrapper-product

sickn33/antigravity-awesome-skills

Document outlines how to build AI wrapper products that treat prompt engineering as product development, balancing user experience, cost tracking, and output validation to ship pay-for-use solutions.

AI Wrapper Product Design

ai-wrapper-product

sickn33/antigravity-awesome-skills

Document outlines how to build AI wrapper products that treat prompt engineering as product development, balancing user experience, cost tracking, and output validation to ship pay-for-use solutions.

Agent Context Compression

context-compression

sickn33/antigravity-awesome-skills

Guides engineering teams on compressing long agent conversations by focusing on tokens-per-task rather than tokens-per-request, using structured summaries, triggered strategies, and probe-based evaluation to keep artifact trails intact.

Context Engineering Fundamentals

context-fundamentals

sickn33/antigravity-awesome-skills

Explains what makes up a language model’s context state and how engineers should structure prompts, tools, retrieval, history, and outputs to guide agent behavior and manage token budgets.

Context Engineering Specialist

context-manager

sickn33/antigravity-awesome-skills

Provides elite guidance on dynamic context management, vector databases, knowledge graphs, intelligent memory, RAG, and multi-agent workflows so AI systems maintain relevant, actionable information across enterprise scenarios.

Databricks MLflow Workflow

databricks-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Guides ML engineers through the Databricks secondary workflow that links Feature Store engineering, MLflow experiment tracking, model registry versioning, and serving so production-grade models can be trained and deployed.

Feature Engineering Toolkit

engineering-features-for-machine-learning

jeremylongshore/claude-code-plugins-plus-skills

Feature Engineering Toolkit automates creating, selecting, and transforming dataset features to improve machine learning models; use it whenever you need new interactions, automatic selection, scaling, or encoding to boost accuracy and interpretability.

Feature Engineering Helper

feature-engineering-helper

jeremylongshore/claude-code-plugins-plus-skills

Automatically activates when you mention feature engineering helper, offering guidance on data preparation, model training, hyperparameter tuning, and experiment tracking for ML projects.

Klingai Text To Video

klingai-text-to-video

jeremylongshore/claude-code-plugins-plus-skills

Generate high-quality videos from text prompts via Kling AI, tuning duration, resolution, and aspect ratio while monitoring progress and downloading results—ideal for creators or learners honing prompt engineering.

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