DB

dbx-regenerate

This tool updates Go models using the DBX ORM generator, verifies the output, and reports on diffs and compilation errors.

Install

mkdir -p .claude/skills/dbx-regenerate && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3776" && unzip -o skill.zip -d .claude/skills/dbx-regenerate && rm skill.zip

Installs to .claude/skills/dbx-regenerate

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Regenerate DBX code after making changes to .dbx schema files. Runs code generation, shows diff summary, validates compilation, and reports any errors.
151 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Generate Go code from.dbx schema definition files
  • Perform schema migration validation for DB interfaces
  • Generate cross-platform SQL for PostgreSQL and CockroachDB
  • Check generated code against build-time compilation requirements
  • Review diffs of auto-generated ORM method signatures

How it works

Triggers the DBX compiler via the Go generate tool to parse schema files and inject updated type-safe methods into the project codebase.

Inputs & outputs

You give it
Modified.dbx schema files
You get back
Updated Go database access methods and SQL schema files

When to use dbx-regenerate

  • Update database access layer after schema changes
  • Validate generated Go code for compilation errors
  • Review diffs of database interface changes

About this skill

DBX Regenerate

You are helping regenerate the DBX-generated code after changes to .dbx schema files.

Overview

DBX (Database Extension) is Storj's schema-first ORM that generates Go code from .dbx schema files. When developers modify .dbx files in satellite/satellitedb/dbx/, the generated code in satellitedb.dbx.go must be regenerated.

This skill:

  1. Runs the DBX code generator
  2. Shows a summary of what changed
  3. Validates the generated code compiles
  4. Reports any errors with helpful context

Instructions

Follow these steps to regenerate DBX code:

1. Check for Modified .dbx Files

First, check which .dbx files have been modified (optional but helpful for context):

git status satellite/satellitedb/dbx/

This helps understand what schema changes triggered the regeneration.

2. Run DBX Code Generation

Execute the code generation:

cd satellite/satellitedb/dbx && go generate

This runs the DBX compiler which:

  • Parses all .dbx schema files
  • Generates SQL for PostgreSQL and CockroachDB
  • Produces Go code with type-safe methods
  • Creates the ~50,000 line satellitedb.dbx.go file

Expected output: Should see messages about code generation progress.

3. Show Diff Summary

After generation completes, show a summary of what changed:

git diff --stat satellite/satellitedb/dbx/satellitedb.dbx.go

Also show a preview of the changes:

git diff satellite/satellitedb/dbx/satellitedb.dbx.go | head -100

What to look for:

  • New methods added (e.g., Create_, Get_, Update_, Delete_ methods)
  • Modified method signatures
  • New model structs
  • Changes to existing queries

4. Validate Compilation

Ensure the generated code compiles successfully:

go build ./satellite/satellitedb/dbx

If compilation succeeds, the regeneration was successful.

5. Report Results

Provide a clear summary to the user:

If successful:

  • Confirm DBX regeneration completed
  • Summarize what changed (e.g., "Added 3 new methods for the users table")
  • Show key new/modified methods
  • Confirm compilation succeeded
  • Suggest next steps (e.g., "You may want to create a database migration for the schema changes")

If errors occurred:

  • Show the full error output
  • Identify which .dbx file has the issue (look for file references in error)
  • Explain the error in plain language
  • Suggest fixes based on common DBX errors (see below)

Common DBX Errors and Fixes

Syntax Error in .dbx File

Error pattern: parse error, unexpected token, invalid syntax

Cause: Incorrect .dbx syntax (missing commas, invalid field types, etc.)

Fix:

  • Check the .dbx file line number mentioned in the error
  • Verify syntax matches DBX documentation patterns
  • Common issues: missing commas between fields, invalid field type names, incorrect query syntax

Duplicate Model/Query Definition

Error pattern: already defined, duplicate definition

Cause: Model or query defined multiple times across .dbx files

Fix:

  • Search for the duplicate definition across all .dbx files
  • Remove or rename the duplicate
  • Ensure model names are unique across all .dbx files

Invalid Field Type

Error pattern: unknown type, invalid type

Cause: Using a field type that DBX doesn't recognize

Valid DBX types:

  • text, blob, int, int64, uint, uint64
  • bool, timestamp, float64
  • utimestamp (microsecond timestamp)

Fix: Change the field type to a valid DBX type

Missing Primary Key

Error pattern: no primary key defined

Cause: Table definition missing a primary key

Fix: Add a primary key using ( key <field> ) in the model definition

Invalid Query Pattern

Error pattern: invalid query, unknown read pattern

Cause: Using an incorrect query pattern name

Valid patterns:

  • read one, read all, read first, read paged, read limitoffset, read scalar
  • update, delete, create, count

Fix: Use a valid query pattern from the list above

Circular Dependency

Error pattern: circular dependency, import cycle

Cause: .dbx files referencing each other in a circular way

Fix: Restructure the models to remove circular references

Post-Regeneration Checklist

After successful regeneration, remind the user to:

  1. Review the diff: Check that generated changes match expectations
  2. Create migration: If schema changed, create database migration files
  3. Run linter: Ensure generated code passes linting
    make llint LINT_TARGET=./satellite/satellitedb/dbx
    
  4. Commit changes: Commit both .dbx changes and generated code together

Understanding the Generated Code

The satellitedb.dbx.go file contains:

  • Model structs: Go representations of database tables
  • Field types: Type-safe field constructors (e.g., User_Id_Field)
  • CRUD methods: Auto-generated database operations
  • Backend implementations: Separate implementations for PostgreSQL and CockroachDB
  • Transaction support: WithTx() methods for transactions
  • Error handling: Wrapped errors with proper error codes

Example Workflow

User modified: satellite/satellitedb/dbx/user.dbx - added last_login timestamp field

Regeneration output:

DBX regenerated successfully!

Changes:
- Modified: User model (added field: last_login)
- New methods: Update_User_LastLogin_By_Id
- Lines changed: +156 -12

Generated methods:
- User.LastLogin field added
- User_LastLogin_Field type added
- Update methods now include last_login in optional fields

Compilation: ✓ Success

Next steps:
1. Review the diff to ensure changes are correct
2. Create a migration to add the last_login column
3. Run tests to ensure compatibility

Notes

  • DBX generation can take 10-30 seconds depending on system performance
  • The generated file is ~1.9 MB and ~50,000 lines of code
  • Always regenerate after modifying ANY .dbx file
  • The generator is located in satellite/satellitedb/dbx/gen/main.go
  • DBX supports PostgreSQL and CockroachDB from the same schema
  • Generated code includes monkit instrumentation for metrics
  • All errors are wrapped with errs.Class("satellitedb")

Tips

  • Use git diff to see exactly what changed before committing
  • If regeneration seems slow, check for syntax errors first
  • Keep .dbx files focused - one file per logical domain (users, projects, etc.)
  • Test generated code with all supported backends if possible
  • DBX errors are usually specific - read them carefully for the fix

When not to use it

  • When modifying database schemas manually without updating.dbx files
  • When working in a non-Go project environment
  • For simple SQL queries that do not require an ORM layer

Prerequisites

Go compilerDBX compiler toolgit

Limitations

  • Depends on the stability and correctness of the DBX compiler
  • Requires a complete rebuild of the database layer on every change
  • Diffs for generated files can be large and difficult to review

How it compares

It eliminates manual creation of repetitive database access code by enforcing a schema-first generation approach.

Compared to similar skills

dbx-regenerate side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
dbx-regenerate (this skill)16moReviewIntermediate
run-tests15moReviewIntermediate
advanced-lokstra-validate-consistency06moReviewAdvanced
database-development12moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

Search skills

Search the agent skills registry