Ck:Databases

Community

manhvann

ck:databases

Design schemas, write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance optimization, psql CLI.

Overview

Publisher	manhvann
Repository	`codexkit`
Skill name	`ck:databases`
Stars	88
Forks	81
Bundled files	25
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
25 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by manhvann on GitHub. Read the source before you install it.

Installation

Install the Ck:Databases AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/manhvann/codexkit/tree/main/.agents/skills/databases
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/manhvann/codexkit.git /tmp/codexkit
mkdir -p .claude/skills
cp -r /tmp/codexkit/.agents/skills/databases .claude/skills/manhvann-ck-databases

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ck:Databases in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ck:Databases on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ck:Databases is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Databases Skill

Unified guide for working with MongoDB (document-oriented) and PostgreSQL (relational) databases. Choose the right database for your use case and master both systems.

When to Use This Skill

Use when:

Designing database schemas and data models
Writing queries (SQL or MongoDB query language)
Building aggregation pipelines or complex joins
Optimizing indexes and query performance
Implementing database migrations
Setting up replication, sharding, or clustering
Configuring backups and disaster recovery
Managing database users and permissions
Analyzing slow queries and performance issues
Administering production database deployments

Reference Navigation

Database Design

db-design.md - Activate when user requests: Database/table design for transactional (OLTP), analytics (OLAP), create or extend schema, design fact/dimension tables, analyze/review CSV/JSON/SQL files to create tables, or need advice on data storage structure.

MongoDB References

mongodb-crud.md - CRUD operations, query operators, atomic updates
mongodb-aggregation.md - Aggregation pipeline, stages, operators, patterns
mongodb-indexing.md - Index types, compound indexes, performance optimization
mongodb-atlas.md - Atlas cloud setup, clusters, monitoring, search

PostgreSQL References

postgresql-queries.md - SELECT, JOINs, subqueries, CTEs, window functions
postgresql-psql-cli.md - psql commands, meta-commands, scripting
postgresql-performance.md - EXPLAIN, query optimization, vacuum, indexes
postgresql-administration.md - User management, backups, replication, maintenance

Python Utilities

Database utility scripts in scripts/:

db_migrate.py - Generate and apply migrations for both databases (MongoDB and PostgreSQL)
db_backup.py - Backup and restore MongoDB and PostgreSQL
db_performance_check.py - Analyze slow queries and recommend indexes

bash
# Generate migration
python scripts/db_migrate.py --db mongodb --generate "add_user_index"

# Run backup
python scripts/db_backup.py --db postgres --output /backups/

# Check performance
python scripts/db_performance_check.py --db mongodb --threshold 100ms

Best Practices

MongoDB:

Use embedded documents for 1-to-few relationships
Reference documents for 1-to-many or many-to-many
Index frequently queried fields
Use aggregation pipeline for complex transformations
Enable authentication and TLS in production
Use Atlas for managed hosting

PostgreSQL:

Normalize schema to 3NF, denormalize for performance
Use foreign keys for referential integrity
Index foreign keys and frequently filtered columns
Use EXPLAIN ANALYZE to optimize queries
Regular VACUUM and ANALYZE maintenance
Connection pooling (pgBouncer) for web apps

Resources

MongoDB: https://www.mongodb.com/docs/
PostgreSQL: https://www.postgresql.org/docs/
MongoDB University: https://learn.mongodb.com/
PostgreSQL Tutorial: https://www.postgresqltutorial.com/

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ck:Databases AI skill do?

Design schemas, write queries for MongoDB and PostgreSQL. Use for database design, SQL/NoSQL queries, aggregation pipelines, indexes, migrations, replication, performance optimization, psql CLI.

Why use Ck:Databases on TypingMind?

Because you install it once and use it with any model. Ck:Databases is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ck:Databases in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manhvann/codexkit/tree/main/.agents/skills/databases. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ck:Databases?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ck:Databases?

As many as you like. As long as a model supports skills, you can use Ck:Databases with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ck:Databases AI skill free?

Yes. It is published on GitHub by manhvann under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Databases Skill

When to Use This Skill

Reference Navigation

Database Design

MongoDB References

PostgreSQL References

Python Utilities

Best Practices

Resources

Bundled files

Frequently asked questions

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