auto-generated-dynamodb-operations-pattern
DynamoDB patterns for sender tracking. Client setup, marshall/unmarshall, CRUD operations, GSI queries, batch writes. Triggers on "dynamodb", "sender tracking", "known senders", "batch write".
DynamoDB patterns for sender tracking. Client setup, marshall/unmarshall, CRUD operations, GSI queries, batch writes. Triggers on "dynamodb", "sender tracking", "known senders", "batch write".
Guide parsing of Cassandra 5.0+ SSTable components (Data.db, Index.db, Statistics.db, Summary.db, TOC) with compression support (LZ4, Snappy, Deflate). Use when working with SSTable files, binary format parsing, hex dumps, compression issues, offset calculations, BTI index, partition layout, or debugging parsing errors.
Complete migration validation checklist for Flow to Output SDK. Use after migration to verify completeness and correctness.
Habilidades y lineamientos para manejar persistencia y caching de datos en dasboards con Streamlit.
REQUIRED Phase 3 of /ds workflow. Enforces output-first verification at each step.
概念データモデル(CDM)、論理データモデル(LDM)、物理データモデル(PDM)を段階的に設計・出力するSkill。 「データモデルを作って」「ER図を書いて」「テーブル設計して」「DDLを生成して」「エンティティを整理して」「データ辞書を作って」 「概念モデル」「論理モデル」「物理モデル」などの依頼で発動する。 出力はMermaid ER図、Markdown(用語集・データ辞書・設計書)、SQL DDL。
Create and configure dashboards with portlets (charts/widgets) using DashboardConfig in Drizzle Cube.
DuckDB, MotherDuck cloud analytics, and Parquet file handling for Node.js/TypeScript applications
Bulk insert optimization pattern for static/reference data sync
Use when creating new skills or editing existing skills - combines official skill authoring best practices with TDD methodology (test with subagents before deployment, iterate until bulletproof). Activates when user wants to create/update a skill that extends Claude's capabilities.
Elite AI/ML Senior Engineer with 20+ years experience. Transforms Claude into a world-class AI researcher and engineer capable of building production-grade ML systems, LLMs, transformers, and computer vision solutions. Use when: (1) Building ML/DL models from scratch or fine-tuning, (2) Designing neural network architectures, (3) Implementing LLMs, transformers, attention mechanisms, (4) Computer vision tasks (object detection, segmentation, GANs), (5) NLP tasks (NER, sentiment, embeddings), (6) MLOps and production deployment, (7) Data preprocessing and feature engineering, (8) Model optimization and debugging, (9) Clean code review for ML projects, (10) Choosing optimal libraries and frameworks. Triggers: "ML", "AI", "deep learning", "neural network", "transformer", "LLM", "computer vision", "NLP", "TensorFlow", "PyTorch", "sklearn", "train model", "fine-tune", "embedding", "CNN", "RNN", "LSTM", "attention", "GPT", "BERT", "diffusion", "GAN", "object detection", "segmentation".
Manage Gemini RAG stores with Code-RAG support
Used to create a new agent. Used when a user wants to create a new agent
Checklist สำหรับตรวจสอบและกำจัด bloat ใน context, prompt, และ response เพื่อลด token cost และเพิ่ม signal-to-noise ratio
Bootstrap skill that teaches Claude about the shared Agent-memory system for cross-session and cross-team knowledge
Guide implementation of production-ready Python RAG components by enforcing correct abstractions, error handling, observability, and safety at coding time.
Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-per-request.
This skill should be used when the user asks to "demonstrate minimal skill", "show basic skill structure", or needs a simple skill example. Provides a minimal working skill template.
Develop pre-fluency cognitive habits: recognize when not to use AI, separate thinking from generation, resist automation bias and output authority.
Use when creating new agents, defining agent roles, or configuring agent handoff protocols and model selection.
Compare and evaluate embedding models for semantic search
This skill should be used when users want to restore, reload, or copy their Claude Code configuration files (commands, skills, agents) from a backup directory back to ~/.claude/. Triggered by phrases like "restore my claude config", "reload claude settings", "copy config back to ~/.claude/", "restore from backup", "recover claude configuration", "import commands and skills from backup", "I accidentally deleted my commands", "restore my old skills", "copy config from backup", or "I need to recover my claude settings from a backup".