Compare ERB and JavaScript template outputs for the offline scoring SPA. Use when working on ERB-to-JS conversion, debugging template parity issues, or verifying that changes to scoring views work correctly in both ERB and SPA modes.

Writing durable workflows in JavaScript using duroxide-node. Use when creating orchestrations, activities, writing tests, or when the user mentions generator workflows, yield patterns, or duroxide-node development.

Copilot agent that assists with database operations, performance tuning, backup/recovery, monitoring, and high availability configuration Trigger terms: database administration, DBA, database tuning, performance tuning, backup recovery, high availability, database monitoring, query optimization, index optimization Use when: User requests involve database administrator tasks.

Writing durable workflows in Python using duroxide-python. Use when creating orchestrations, activities, writing tests, or when the user mentions generator workflows, yield patterns, or duroxide-python development.

Prisma Client API reference covering model queries, filters, operators, and client methods. Use when writing database queries, using CRUD operations, filtering data, or configuring Prisma Client. Triggers on "prisma query", "findMany", "create", "update", "delete", "$transaction".

Prisma Postgres setup and operations guidance across Console, create-db CLI, Management API, and Management API SDK. Use when creating Prisma Postgres databases, working in Prisma Console, provisioning with create-db/create-pg/create-postgres, or integrating programmatic provisioning with service tokens or OAuth.

Complete migration guide from Prisma ORM v6 to v7 covering all breaking changes. Use when upgrading Prisma versions, encountering v7 errors, or migrating existing projects. Triggers on "upgrade to prisma 7", "prisma 7 migration", "prisma-client generator", "driver adapter required".

Guides for configuring Prisma with different database providers (PostgreSQL, MySQL, SQLite, MongoDB, etc.). Use when setting up a new project, changing databases, or troubleshooting connection issues. Triggers on "configure postgres", "connect to mysql", "setup mongodb", "sqlite setup".

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Up-to-date Microsoft Graph API knowledge for AI agents. Search 27,700+ Graph APIs, endpoint docs, resource schemas, and community samples — all locally, no network calls. Use when the agent needs to find, understand, or call Microsoft Graph endpoints.

Operational tips and best practices for working with Microsoft Fabric Data Factory MCP tools. Use when executing queries, troubleshooting timeouts, creating dataflows end-to-end, or working with large datasets via the DataFactory.MCP tools.

Execute simple network status queries that require 1-2 commands. Use when user asks to "check device status", "show interface", "query routing table", "display BGP neighbors", or needs simple read-only information retrieval.

Layer 4 Learning and Pattern Extraction for Cognitive Surrogate Systems

Guide for creating new Amplifier modules including protocol implementation, entry points, mount functions, and testing patterns. Use when creating new modules or understanding module architecture.

Collects intake (project name + problem statement), scaffolds the project, infers architectural signals, and produces a Discovery Brief. This is the DEFAULT first skill — invoke it for ANY new user request that describes a data, analytics, reporting, or integration problem, no matter how it is phrased. The signal mapper handles keyword matching; routing just needs to get the user here first. When in doubt, invoke fabric-discover — a false-positive intake is recoverable; a freelanced answer is not. Common triggers include "IoT sensors", "batch ETL", "real-time analytics", "data warehouse", "compliance", "dashboard", "streaming", "we need analytics", or "what task flow fits my needs", but any description of a data problem qualifies. Do NOT use for architecture design (use fabric-design), deployment (use fabric-deploy), or validation (use fabric-test).

This skill provides guidance on designing Dataverse table schemas and data models. Use when users ask about "Dataverse table design", "Dataverse schema", "Dataverse relationships", "Dataverse columns", "data modeling Dataverse", "Dataverse best practices", or need help designing their data structure.

Creates sophisticated workflow cascades coordinating multiple micro-skills with sequential pipelines, parallel execution, conditional branching, and Codex sandbox iteration. Enhanced with multi-model routing (Gemini/Codex), ruv-swarm coordination, memory persistence, and audit-pipeline patterns for production workflows.

This skill should be used when the user asks to "check documentation", "latest API", "library docs", "context7", or needs up-to-date library documentation. Provides Context7 MCP usage patterns.

Use this agent when a PR touches production data, migrations, or any behavior that could silently discard or duplicate records. Produces a concrete pre/post-deploy checklist with SQL verification queries, rollback procedures, and monitoring plans. Essential for risky data changes where you need a Go/No-Go decision. <example>Context: The user has a PR that modifies how emails are classified. user: "This PR changes the classification logic, can you create a deployment checklist?" assistant: "I'll use the deployment-verification-agent to create a Go/No-Go checklist with verification queries" <commentary>Since the PR affects production data behavior, use deployment-verification-agent to create concrete verification and rollback plans.</commentary></example> <example>Context: The user is deploying a migration that backfills data. user: "We're about to deploy the user status backfill" assistant: "Let me create a deployment verification checklist with pre/post-deploy checks" <commentary>Backfills are high-risk deplo