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Create Migration (Grade A)Security-tested development skill for Claude AI. Grade A. Create a new database migration following project naming and safety rules. Use when the user asks to add a migration or create a migration for

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Create a new database migration following project naming and safety rules. The skill clarifies the schema change (new table, new column, index, constraint) and ensures backward compatibility where possible. It generates the migration files with a standardized naming format (YYYYMMDDHHMMSS_descriptive_action.sql) and ensures the migration can be rolled back cleanly. The skill also reviews the migration for any potential issues, including raw DELETE statements and the use of soft delete if necessary, and follows established database rules and schema design principles.

Key features

  • Naming format: YYYYMMDDHHMMSS_descriptive_action.sql
  • UP and DOWN migration scripts
  • Review steps for safety and correctness
  • Soft delete and parameterized queries

Pricing

Model
Free
Category
Skills
Rating
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Use cases

Adding a new column to a table

Create a migration to add a new column to a table, ensuring backward compatibility and following project naming and safety rules.

Creating a new table

Create a migration to create a new table, including necessary columns such as id, created_at, updated_at, and soft-delete column.

Pros & Cons

Pros

  • Ensures backward compatibility
  • Follows project naming and safety rules
  • Includes review steps for safety and correctness

Cons

  • Requires careful planning and review
  • May require manual steps for irreversible schema changes

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Q&A

Why You Should Use This?

| Audience | Key Benefits | | -------------------- | ------------------------------------------------------------------------------------------------- | | Individual | 30%+ token savings, stop repeating standards, security guardrails, instant scaffolding | | Teams | Consistent AI behavior, day‑one onboarding, codified patterns, compounding cost savings | | Organizations | Always‑on compliance, same standards across 1,000 projects, central governance, measurable ROI |

Asked by Greta Nowak · Mar 14, 2026

What You Can Customize?

| Section | What It Controls | Example | | ------------- | -------------------------- | ---------------------------------------------- | | project | Project identity | Name, description, repo URL | | techStack | Language, framework, tools | TypeScript + Express or Python + FastAPI | | paths | Directory structure | Where handlers, services, and common code live | | domain | Business entities | Order, Product, Customer + lifecycle states | | patterns | Code patterns | 7‑step handler flow, error handling strategy | | testing | Quality gates | 90% coverage, test/lint/type‑check commands | | database | DB conventions | Soft delete field, timestamp columns, naming | | packages | Internal packages | @your‑org scope, registry URL | | conventions | Git and workflow | Branch prefixes, commit format, PR templates |

Asked by Mei-Ling Wong · Feb 26, 2026

What it detects?

| Category | Signals | | ------------------ | ------------------------------------------------------------------------------------------ | | Language | tsconfig.json, go.mod, Cargo.toml, requirements.txt, pom.xml, file extensions | | Framework | Dependencies in package.json / requirements.txt (React, Express, Django, Spring, etc.) | | Database | ORM configs (prisma/, sequelize, typeorm), .sql files, migration folders | | Testing | jest.config., vitest, pytest, cypress/, playwright.config. | | Infrastructure | Dockerfile, terraform/, cdk.json, serverless.yml, cloud SDK deps | | CI/CD | .github/workflows/, .gitlab-ci.yml, Jenkinsfile |

Asked by Wanjiru Kamau · Feb 12, 2026

What's Inside?

| Layer | Count | What It Does | How It's Triggered | | ------------- | ----- | ------------------------------------------------- | ----------------------------------- | | Rules | 47 | Enforces coding standards on every AI interaction | Automatically — always on | | Agents | 62 | Specialized assistants for complex tasks | On demand — /agent-name | | Skills | 50 | Step‑by‑step guided workflows with checklists | Contextually — when patterns match | | Commands | 37 | Lightweight, token‑efficient quick actions | On demand — /command | | Hooks | 12 | Automation scripts in the AI loop | Event‑driven — before/after actions | | Templates | 9 | Scaffolding for handlers, components, tests, etc. | Referenced by skills and agents |

Asked by Fumiko Sato · Dec 31, 2025

How It Works?

Layer 1 — Pre-Processing: Hooks inject project context and block dangerous commands before your prompt reaches the AI. Layer 2 — Rules Engine: 47 always‑on rules enforce token efficiency, security, architecture, code standards, database conventions, and testing thresholds. Layer 3 — Specialized Processing: The right component activates — an agent, skill, or command — based on your prompt. Layer 4 — Post-Processing: Hooks validate output, auto‑format, scan for secrets, and verify coverage.

Asked by Dovid Klein · Dec 20, 2025

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