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AI Engineering
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Enterprise LLM Engineering
ai-engineer
sickn33/antigravity-awesome-skills
207
Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.
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Enterprise LLM Engineering
ai-engineer
sickn33/antigravity-awesome-skills
207
Deliver production-ready LLM applications, RAG systems, and multi-agent orchestration with vector databases, embedding strategies, safety controls, and observability for enterprise deployments.
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LLM Product Engineering
ai-product
sickn33/antigravity-awesome-skills
465
Guides AI product engineers through shipping reliable LLM features at scale, covering prompt-as-code practices, validation, safety layers, streaming experiences, and monitoring to cut costs and catch errors before they reach users.
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AI Wrapper Product Design
ai-wrapper-product
sickn33/antigravity-awesome-skills
380
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.
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AI Wrapper Product Design
ai-wrapper-product
sickn33/antigravity-awesome-skills
380
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.
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Agent Context Compression
context-compression
sickn33/antigravity-awesome-skills
426
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.
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Context Engineering Fundamentals
context-fundamentals
sickn33/antigravity-awesome-skills
115
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.
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Context Engineering Specialist
context-manager
sickn33/antigravity-awesome-skills
278
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.
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Databricks MLflow Workflow
databricks-core-workflow-b
jeremylongshore/claude-code-plugins-plus-skills
167
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.
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Feature Engineering Helper
feature-engineering-helper
jeremylongshore/claude-code-plugins-plus-skills
82
Automatically activates when you mention feature engineering helper, offering guidance on data preparation, model training, hyperparameter tuning, and experiment tracking for ML projects.
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Klingai Text To Video
klingai-text-to-video
jeremylongshore/claude-code-plugins-plus-skills
297
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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LLM Prompt Engineering
prompt-engineer
Jeffallan/claude-skills
248
Designs, refines, and evaluates prompts for LLM workflows, covering zero/few-shot, chain-of-thought, system personas, structured outputs, and testable evaluation suites to boost accuracy and efficiency.
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