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Found 2,192 Skills
Learn how to deploy PocketBase on Google Cloud Run using the new volume mounting feature, enabling scale-to-zero, infinite storage, and easy backups.
Unit testing patterns and best practices. Use when writing isolated unit tests, implementing AAA pattern, designing test isolation, or setting coverage targets for business logic.
Design AI architectures, write Prompts, build RAG systems and LangChain applications
Under the assumption that the US dollar or a certain currency loses its reserve status and gold becomes the only anchor, deduce the 'implied gold price that the balance sheet can withstand' by dividing central bank monetary liabilities by gold reserves, and output the leverage level, gap and ranking of each country or currency.
Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.
Optimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.
Data pipelines, feature stores, and embedding generation for AI/ML systems. Use when building RAG pipelines, ML feature serving, or data transformations. Covers feature stores (Feast, Tecton), embedding pipelines, chunking strategies, orchestration (Dagster, Prefect, Airflow), dbt transformations, data versioning (LakeFS), and experiment tracking (MLflow, W&B).
Building promotion cases, brag documents, tracking wins, and self-advocacy for career advancement. Use when preparing for promotions, documenting accomplishments, or building your case for advancement.
Strict Home Assistant Integration Code Review. Used for comprehensive checks before submitting PRs, including Quality Scale rule validation, code style, Config Flow, test coverage, and documentation. Triggered when users say "Review my HA integration", "Check if my code complies with HA specifications", or "Help me review the code ready for submission".
Analyze AI/ML technical content (papers, articles, blog posts) and extract actionable insights filtered through enterprise AI engineering lens. Use when user provides URL/document for AI/ML content analysis, asks to "review this paper", or mentions technical content in domains like RAG, embeddings, fine-tuning, prompt engineering, LLM deployment.
Use when defining ABM tiers, scoring logic, and coverage rules.
Provides comprehensive guidance for AWS S3 including bucket creation, object storage, access control, and S3 management. Use when the user asks about AWS S3, needs to store files in S3, configure S3 buckets, or work with S3 storage.