Db Infra Mocks

Community

pilinux

db-infra-mocks

Propose minimal seams and local substitutes so tests run without real RDBMS/Redis/Mongo infrastructure.

Overview

Publisher	pilinux
Repository	`gorest`
Skill name	`db-infra-mocks`
Stars	506
Forks	63
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by pilinux on GitHub. Read the source before you install it.

Installation

Install the Db Infra Mocks 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/pilinux/gorest/tree/main/.agents/skills/db-infra-mocks
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/pilinux/gorest.git /tmp/gorest
mkdir -p .claude/skills
cp -r /tmp/gorest/.agents/skills/db-infra-mocks .claude/skills/db-infra-mocks

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

Use it in TypingMind

Enable Db Infra Mocks 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 Db Infra Mocks 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 Db Infra Mocks 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.

DB Infrastructure Mocks

When to Use

Integration dependencies (RDBMS, Redis, MongoDB) prevent running tests or local development and you need safe, testable alternatives.

Responsibilities

Locate where clients and connections are constructed and consumed (database/ package).
Propose interface-based seams and minimal mock implementations.
Provide migration path and verification steps so production behavior remains unchanged.

Rules

Prefer small interfaces and constructor injection over large refactors.
Make tests deterministic and avoid network calls.
Provide unit and integration verification steps for any change.

Project-Specific Details

RDBMS connections: gdb.InitDB() / gdb.GetDB() (GORM *gorm.DB).
Redis connections: gdb.InitRedis() / gdb.GetRedis() (radix v4 radix.Client).
MongoDB connections: gdb.InitMongo() / gdb.GetMongo() (*mongo.Client from official driver v2).
Close all: gdb.CloseAllDB().

Recommended Approaches

RDBMS: Use SQLite in-memory (driver: "sqlite3") for simple GORM-backed tests.
Redis: Use a radix v4 compatible mock or inject an interface wrapper around radix.Client.
MongoDB: Inject a mock repository interface or use a local test MongoDB instance.

Output

Dependency map with path:line of client construction and usage.
Recommended seam (interface signature) and where to inject it.
Example mock/test code snippet and verification commands.

Related Skills

test-runner, patch-applier, migration-helper

Frequently asked questions

What does the Db Infra Mocks AI skill do?

Propose minimal seams and local substitutes so tests run without real RDBMS/Redis/Mongo infrastructure.

Why use Db Infra Mocks on TypingMind?

Because you install it once and use it with any model. Db Infra Mocks 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 Db Infra Mocks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pilinux/gorest/tree/main/.agents/skills/db-infra-mocks. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Db Infra Mocks?

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 Db Infra Mocks?

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

Is the Db Infra Mocks AI skill free?

Yes. It is published on GitHub by pilinux 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

DB Infrastructure Mocks

When to Use

Responsibilities

Rules

Project-Specific Details

Recommended Approaches

Output

Related Skills

Frequently asked questions

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