Claude-skill-registry create-mongodb-repository
Create MongoDB repository implementation for production database. Use when implementing repository interface with MongoDB, setting up document mapping, creating indexes, or connecting to real database. Triggers on "mongodb repository", "mongo repository", "production repository", "database repository".
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/create-mongodb-repository" ~/.claude/skills/majiayu000-claude-skill-registry-create-mongodb-repository && rm -rf "$T"
manifest:
skills/data/create-mongodb-repository/SKILL.mdsource content
Create MongoDB Repository
Creates a MongoDB repository implementation using the native MongoDB driver (not Mongoose). Includes document mapping, Zod validation, index creation, and proper ObjectId handling.
Quick Reference
Location:
src/repositories/mongodb/{entity-name}.mongodb.repository.ts
Naming: {entity-name}.mongodb.repository.ts (e.g., note.mongodb.repository.ts)
Prerequisites
- MongoDB connection configured in
src/config/mongodb.setup.ts - Entity schema created in
src/schemas/{entity-name}.schema.ts - Repository interface created in
src/repositories/{entity-name}.repository.ts
Instructions
Step 1: Create the Implementation File
Create
src/repositories/mongodb/{entity-name}.mongodb.repository.ts
Step 2: Import Dependencies
import { Collection, Db, ObjectId } from "mongodb"; import type { WithId, Filter, Sort } from "mongodb"; import type { {Entity}Type, Create{Entity}Type, Update{Entity}Type, {Entity}QueryParamsType, {Entity}IdType, } from "@/schemas/{entity-name}.schema"; import { {entity}Schema } from "@/schemas/{entity-name}.schema"; import { DEFAULT_LIMIT, DEFAULT_PAGE, type PaginatedResultType, } from "@/schemas/shared.schema"; import type { I{Entity}Repository } from "@/repositories/{entity-name}.repository"; import type { UserIdType } from "@/schemas/user.schemas"; import { getDatabase } from "@/config/mongodb.setup";
Step 3: Define MongoDB Document Interface
// MongoDB document interface (internal to repository) // Maps domain model to MongoDB structure interface Mongo{Entity}Document extends Omit<{Entity}Type, "id" | "createdAt" | "updatedAt"> { _id?: ObjectId; createdAt: Date; updatedAt: Date; }
Step 4: Create the Repository Class
export class MongoDb{Entity}Repository implements I{Entity}Repository { private collection: Collection<Mongo{Entity}Document> | null = null; // Lazy load collection on first use private async getCollection(): Promise<Collection<Mongo{Entity}Document>> { if (!this.collection) { const db: Db = await getDatabase(); this.collection = db.collection<Mongo{Entity}Document>("{entities}"); await this.createIndexes(this.collection); console.log("📚 {Entities} collection initialized"); } return this.collection; } // Index creation (idempotent) private async createIndexes( collection: Collection<Mongo{Entity}Document>, ): Promise<void> { console.log("Creating indexes for {entities} collection..."); await Promise.all([ collection.createIndex({ createdBy: 1 }, { name: "{entities}_createdBy" }), collection.createIndex({ createdAt: -1 }, { name: "{entities}_createdAt_desc" }), // Add text index for searchable fields collection.createIndex({ {searchableField}: "text" }, { name: "{entities}_{searchableField}_text" }), ]); console.log("✅ {Entities} indexes created successfully"); } // Map MongoDB document to domain entity with Zod validation private mapDocumentToEntity(doc: WithId<Mongo{Entity}Document>): {Entity}Type { const { _id, ...restOfDoc } = doc; return {entity}Schema.parse({ ...restOfDoc, id: _id.toHexString(), createdAt: doc.createdAt, updatedAt: doc.updatedAt, }); } // Map domain data to MongoDB document private mapEntityToDocument( data: Create{Entity}Type, createdByUserId: UserIdType, ): Omit<Mongo{Entity}Document, "_id"> { const now = new Date(); return { // Map each field from Create{Entity}Type ...data, createdBy: createdByUserId, createdAt: now, updatedAt: now, }; } // ... implement interface methods (see below) }
Step 5: Implement Interface Methods
findAll
async findAll( params: {Entity}QueryParamsType, ): Promise<PaginatedResultType<{Entity}Type>> { const collection = await this.getCollection(); // Build MongoDB query filter const filter: Filter<Mongo{Entity}Document> = {}; if (params.createdBy) { filter.createdBy = params.createdBy; } if (params.search?.trim()) { filter.$text = { $search: params.search.trim() }; } // Pagination const page = params.page ?? DEFAULT_PAGE; const limit = params.limit ?? DEFAULT_LIMIT; const skip = (page - 1) * limit; // Sort criteria const sortBy = params.sortBy ?? "createdAt"; const sortOrder = params.sortOrder === "asc" ? 1 : -1; const sort: Sort = { [sortBy]: sortOrder }; // Execute queries in parallel const [documents, total] = await Promise.all([ collection.find(filter).sort(sort).skip(skip).limit(limit).toArray(), collection.countDocuments(filter), ]); // Map to domain entities const entities = documents.map((doc) => this.mapDocumentToEntity(doc)); const totalPages = Math.ceil(total / limit); return { data: entities, total, page, limit, totalPages, }; }
findById
async findById(id: {Entity}IdType): Promise<{Entity}Type | null> { // Validate ObjectId format if (!ObjectId.isValid(id)) { return null; } const collection = await this.getCollection(); const document = await collection.findOne({ _id: new ObjectId(id) }); if (!document) { return null; } return this.mapDocumentToEntity(document); }
findAllByIds
async findAllByIds( ids: {Entity}IdType[], params: {Entity}QueryParamsType, ): Promise<PaginatedResultType<{Entity}Type>> { const collection = await this.getCollection(); // Convert to ObjectIds, filter invalid const objectIds = ids .filter((id) => ObjectId.isValid(id)) .map((id) => new ObjectId(id)); const filter: Filter<Mongo{Entity}Document> = { _id: { $in: objectIds } }; if (params.createdBy) { filter.createdBy = params.createdBy; } if (params.search?.trim()) { filter.$text = { $search: params.search.trim() }; } const page = params.page ?? DEFAULT_PAGE; const limit = params.limit ?? DEFAULT_LIMIT; const skip = (page - 1) * limit; const sortBy = params.sortBy === "id" ? "_id" : (params.sortBy ?? "createdAt"); const sortOrder = params.sortOrder === "asc" ? 1 : -1; const sort: Sort = { [sortBy]: sortOrder }; const [documents, total] = await Promise.all([ collection.find(filter).sort(sort).skip(skip).limit(limit).toArray(), collection.countDocuments(filter), ]); const entities = documents.map((doc) => this.mapDocumentToEntity(doc)); const totalPages = Math.ceil(total / limit); return { data: entities, total, page, limit, totalPages, }; }
create
async create( data: Create{Entity}Type, createdByUserId: UserIdType, ): Promise<{Entity}Type> { const collection = await this.getCollection(); const documentToInsert = this.mapEntityToDocument(data, createdByUserId); const result = await collection.insertOne(documentToInsert); if (!result.insertedId) { throw new Error("{Entity} creation failed, no ObjectId generated by database."); } return {entity}Schema.parse({ ...documentToInsert, id: result.insertedId.toHexString(), }); }
update
async update(id: {Entity}IdType, data: Update{Entity}Type): Promise<{Entity}Type | null> { if (!ObjectId.isValid(id)) { return null; } const collection = await this.getCollection(); const updateDoc = { $set: { ...data, updatedAt: new Date(), }, }; const result = await collection.findOneAndUpdate( { _id: new ObjectId(id) }, updateDoc, { returnDocument: "after" }, ); if (!result) { return null; } return this.mapDocumentToEntity(result); }
remove
async remove(id: {Entity}IdType): Promise<boolean> { if (!ObjectId.isValid(id)) { return false; } const collection = await this.getCollection(); const result = await collection.deleteOne({ _id: new ObjectId(id) }); return result.deletedCount > 0; }
Step 6: Add Testing Helpers
// Helper method for testing: clear all documents async clear(): Promise<void> { const collection = await this.getCollection(); await collection.deleteMany({}); } // Helper method for testing: get collection stats async getStats(): Promise<{ count: number; indexes: string[] }> { const collection = await this.getCollection(); const count = await collection.countDocuments(); const indexes = await collection.listIndexes().toArray(); return { count, indexes: indexes.map((idx) => idx.name), }; }
Patterns & Rules
Document Interface Pattern
Always create a MongoDB-specific document interface:
interface Mongo{Entity}Document extends Omit<{Entity}Type, "id" | "createdAt" | "updatedAt"> { _id?: ObjectId; // MongoDB's primary key createdAt: Date; // Required in documents updatedAt: Date; // Required in documents }
ObjectId Handling
- Always validate with
before usingObjectId.isValid(id) - Convert string to ObjectId:
new ObjectId(id) - Convert ObjectId to string:
_id.toHexString() - Return
for invalid ObjectIds (don't throw)null
Zod Validation on Read
Always validate documents from MongoDB using Zod:
return {entity}Schema.parse({ ...restOfDoc, id: _id.toHexString(), });
Lazy Collection Loading
Initialize collection on first use, not in constructor:
private async getCollection(): Promise<Collection<...>> { if (!this.collection) { const db = await getDatabase(); this.collection = db.collection("{entities}"); await this.createIndexes(this.collection); } return this.collection; }
Index Creation
- Indexes are created when collection is first accessed
is idempotent (safe to call multiple times)createIndex- Always name your indexes:
{ name: "{entities}_fieldName" } - Use text indexes for searchable fields
Parallel Query Execution
Use
Promise.all for independent queries:
const [documents, total] = await Promise.all([ collection.find(filter).sort(sort).skip(skip).limit(limit).toArray(), collection.countDocuments(filter), ]);
Complete Example
See REFERENCE.md for a full implementation example including:
- Complete
classMongoDbNoteRepository - MongoDB connection setup (
)mongodb.setup.ts - Required environment variables
What NOT to Do
- Do NOT use Mongoose - use native MongoDB driver
- Do NOT expose MongoDB types outside the repository
- Do NOT skip ObjectId validation
- Do NOT skip Zod validation when reading documents
- Do NOT throw errors for not-found cases - return null
- Do NOT forget to handle
→sortBy: "id"
conversion"_id" - Do NOT create indexes in the constructor - use lazy loading