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/cms-migration

Use when user wants to migrate content from another CMS (WordPress, Contentful, Strapi, Sanity, Webflow, etc.) to Payload CMS

BOOST
From plugin
payloadcms-skills
1682 skills
Install
$ npx -y skills add payloadcms/skills --skill cms-migration --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/cms-migration

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when user wants to migrate content from another CMS (WordPress, Contentful, Strapi, Sanity, Webflow, etc.) to Payload CMS

SKILL.md

cms-migration.SKILL.md
name: cms-migration
description: Use when user wants to migrate content from another CMS (WordPress, Contentful, Strapi, Sanity, Webflow, etc.) to Payload CMS

CMS Migration to Payload

Interactive workflow to design Payload collections from source CMS data. Config-first approach: establish the data structure through conversation before any data import.

Workflow

Start
  ↓
Ask for data sample
  ↓
Analyze data shape
  ↓
Propose collection config
  ↓
User reviews ──────────────┐
  │                        │
  ├─ changes needed ───→ Adjust config ──→ (back to User reviews)
  │
  └─ looks good ───→ Config confirmed
                            ↓
                    More collections? ──────┐
                            │               │
                            ├─ yes ──→ (back to Ask for data sample)
                            │
                            └─ no ───→ All collections confirmed
                                              ↓
                                      Discuss migration approach
                                              ↓
                                            Done

Phase 1: Data Analysis

When user provides data (JSON, CSV, or describes their schema):

1. **Identify field types** - text, number, date, relationships, media, rich text 2. **Spot patterns** - IDs, timestamps, nested objects, arrays 3. **Note relationships** - foreign keys, embedded refs, linked content types 4. **Flag ambiguities** - fields that could be multiple types, unclear purposes

Phase 2: Propose Collection Config

Present a Payload collection config based on analysis:

// Example output format
export const Posts: CollectionConfig = {
  slug: 'posts',
  fields: [
    { name: 'title', type: 'text', required: true },
    { name: 'content', type: 'richText' },
    { name: 'author', type: 'relationship', relationTo: 'users' },
    // ...
  ],
}

Explain your reasoning for each field choice. When something could go multiple ways (group vs JSON, text vs textarea, select vs relationship), ask rather than assume.

Phase 3: Iterate with User

Work through uncertainties: required fields, hasMany relationships, rich text vs HTML, custom timestamps vs built-in. Continue until the user confirms the config.

Phase 4: Additional Collections

After each confirmation, ask:

> "Are there other content types we should create collections for?"

If yes, loop back to Phase 1 with new data sample.

Common related collections to prompt for:

  • Media/uploads
  • Users/authors
  • Categories/tags
  • Settings (global)

Phase 5: Migration Approach

Only after ALL collections are confirmed, discuss data import:

1. **Order matters** - which collections have no dependencies? Migrate those first 2. **Relationship mapping** - how to resolve source IDs to Payload IDs 3. **Media handling** - download/re-upload vs external URLs 4. **Rich text** - HTML conversion needs or keep raw

Offer to generate a seed script or walk through manual import.

Things to Clarify

Throughout the process, watch for these:

  • **ID references** - are they relationships to other collections?
  • **Image/file URLs** - upload fields or keep as external URLs?
  • **Nested objects** - group, array, or blocks?
  • **Localization** - any fields need per-locale values?
  • **Access control** - who can read/write this collection?
  • **Related content types** - categories, tags, authors that need their own collections?

Critical: Select vs Relationship

**This is the most common migration mistake.** Data that looks static often needs to be dynamic.

When you see repeated string values (categories, tags, types, statuses):

{ "category": "Technology" }
{ "category": "News" }
{ "category": "Technology" }

**Don't assume it's a select field.** Ask:

> "I see `category` has values like 'Technology', 'News'. Should this be: > - A **select field** with fixed options (values won't change) > - A **relationship** to a Categories collection (users can add/edit/remove categories later)"

**Default to relationship** for anything that looks like:

  • Categories, tags, topics, labels
  • Authors, assignees, reviewers
  • Statuses beyond simple draft/published
  • Types that might expand over time

**Use select only for:**

  • Truly fixed enums (yes/no, draft/published/archived)
  • Options defined by business logic, not content (payment status, priority levels)
  • Values that would break functionality if changed (role types with code dependencies)

If creating a relationship, remember to add the related collection (Categories, Tags, etc.) to the migration plan.

Reference Documentation

  • **[PAYLOAD-FIELD-REFERENCE.md](reference/PAYLOAD-FIELD-REFERENCE.md)** - Complete Payload field type schemas with examples

Common Pitfalls

| Issue | How to Handle | |-------|---------------| | User provides partial data | Ask for more samples, especially edge cases | | Unclear relationships | Ask user to describe how content types connect | | Rich text ambiguity | Clarify: Lexical editor, Slate, or store raw HTML | | Missing media collection | Always confirm upload collection exists before referencing | | Overly complex nested data | Consider flattening or using blocks instead of deep groups |

Read more
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