Babysitter mongodb

MongoDB schema design, aggregation pipelines, indexing strategies, and performance.

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/web-development/skills/mongodb" ~/.claude/skills/a5c-ai-babysitter-mongodb && rm -rf "$T"

manifest: library/specializations/web-development/skills/mongodb/SKILL.md

MongoDB Skill

Expert assistance for MongoDB database design and operations.

Capabilities

Design document schemas
Build aggregation pipelines
Create optimal indexes
Implement data modeling patterns
Configure replication and sharding

Aggregation Pipeline

const results = await collection.aggregate([
  { $match: { status: 'active' } },
  { $group: { _id: '$category', total: { $sum: '$amount' } } },
  { $sort: { total: -1 } },
  { $limit: 10 },
]).toArray();

Indexing

// Compound index
await collection.createIndex({ userId: 1, createdAt: -1 });

// Text index
await collection.createIndex({ title: 'text', content: 'text' });

Target Processes

mern-stack-development
database-design
backend-development