ORM

Detect and report drift between database schema and code data models. Works with SQLAlchemy, Django ORM, Prisma, TypeORM, and other ORMs. Generic across any project.

Start an interactive repl for working with keyvalue database. Requires authentication. Use for Agentuity cloud platform operations

This skill should be used whenever users request personal assistance tasks such as schedule management, task tracking, reminder setting, habit monitoring, productivity advice, time management, or any query requiring personalized responses based on user preferences and context. On first use, collects comprehensive user information including schedule, working habits, preferences, goals, and routines. Maintains an intelligent database that automatically organizes and prioritizes information, keeping relevant data and discarding outdated context.

Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications. | Sử dụng khi: triển khai, Docker, Kubernetes, CI/CD, container, cấu hình server.

Converts run telemetry and user notes into structured reflections with confidence scores. Use after runs to capture qualitative feedback and generate next-step guidance with safety checks for pain or abnormal heart rate.

Python FastAPI development with uv package manager, modular project structure, SQLAlchemy ORM, and production-ready patterns.

Systematic data validation, error detection, cross-source reconciliation, and query correctness checking for analytical work. Use when validating Snowflake queries, catching calculation errors, reconciling metrics across different data sources, checking for null values, ensuring date range validity, detecting statistical anomalies, validating metric calculations (median vs mean, rate normalization), checking aggregation grain (per-record vs per-entity), validating contribution analysis for non-additive metrics, or validating consistency across analysis sections. Essential when reviewing analysis before publication, debugging unexpected results, or ensuring data quality in reports. Triggers include "validate this query", "check for errors", "why don't these numbers match", "should I use median or mean", "why don't contributions sum to 100%", "reconcile these metrics", "verify data quality", or any request to catch potential issues in data or calculations.

Use this skill when creating or refining Claude Code hooks. Hooks are shell commands that execute at specific lifecycle events (tool use, prompt submit, notifications, session events). Helps design event handlers for notifications, formatting, logging, feedback, and permission control. Automatically invoked when user requests "create a hook", "add automation", "event handler", "workflow automation", or mentions hook development.

Copy files or directories to or from a sandbox. Requires authentication. Use for Agentuity cloud platform operations

Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges

專責處理 IDF (Information Display Frame) 類型的需求。讀取規格目錄結構，生成/審查 Query Side 設計與實作。支援 Java、TypeScript、Go 多語言。

Create Prisma model layer functions. Use when adding database operations. Never call Prisma directly in routes.

Work with GNU recutils for plain-text record databases. Use when creating, querying, or validating .rec files, defining record schemas with %rec descriptors, converting between rec/CSV formats, or when the user mentions recutils, recsel, recins, recfmt, or record-oriented data files.

Build type-safe D1 databases with Drizzle ORM for Cloudflare Workers. Includes schema definition, migrations with Drizzle Kit, relations, and D1 batch API patterns. Prevents 12 errors including SQL BEGIN failures. Use when: defining D1 schemas, managing migrations, writing type-safe queries, implementing relations or prepared statements, using batch API for transactions, or troubleshooting D1_ERROR, BEGIN TRANSACTION, foreign keys, migration apply, or schema inference errors. Prevents 12 documented issues: D1 transaction errors (SQL BEGIN not supported), foreign key constraint failures during migrations, module import errors with Wrangler, D1 binding not found, migration apply failures, schema TypeScript inference errors, prepared statement caching issues, transaction rollback patterns, TypeScript strict mode errors, drizzle.config.ts not found, remote vs local database confusion, and wrangler.toml vs wrangler.jsonc mixing. Keywords: drizzle orm, drizzle d1, type-safe sql, drizzle schema, drizzle migrations, drizzle kit, orm cloudflare, d1 orm, drizzle typescript, drizzle relations, drizzle transactions, drizzle query builder, schema definition, prepared statements, drizzle batch, migration management, relational queries, drizzle joins, D1_ERROR, BEGIN TRANSACTION d1, foreign key constraint, migration failed, schema not found, d1 binding error

List sandboxes with optional filtering. Requires authentication. Use for Agentuity cloud platform operations

Prisma schema design and database operations for IntelliFill. Use when modifying database schema, writing queries, or managing migrations.

Database migration management for Justice Companion using Drizzle ORM: creates migrations, handles rollbacks, validates schema changes, and manages encryption on 11 fields. Use when modifying database schema, adding tables, or troubleshooting migration errors.

Prisma-specific database operations handler

Manage candidate knowledge base. Use when ingesting CVs, adding profile information, or querying candidate details for resume/cover letter generation.

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.