Mysql Engineering logo

Mysql Engineering

Community
peterbamuhigire
mysql-engineering

Use when designing, implementing, administering, tuning, backing up, restoring, monitoring, or troubleshooting MySQL schemas and production systems; use database-reliability for datastore-independent SLO and recovery policy.

Overview

Publisherpeterbamuhigire
Repositorychwezi-dev-engine
Skill namemysql-engineering
Stars
29
Forks
6
Bundled files
21
LicenseMIT
Links
  • 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.

  • 21 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by peterbamuhigire on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/peterbamuhigire/chwezi-dev-engine/tree/main/skills/backend-databases/mysql-engineering
  4. 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.
2

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/peterbamuhigire/chwezi-dev-engine.git /tmp/chwezi-dev-engine
mkdir -p .claude/skills
cp -r /tmp/chwezi-dev-engine/skills/backend-databases/mysql-engineering .claude/skills/mysql-engineering
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mysql Engineering 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 Mysql Engineering 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 Mysql Engineering 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.

MySQL Engineering

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

Use this parent skill as the active MySQL engineering entrypoint. It keeps routing narrow while preserving the older MySQL child skills as reference modules.

Use When

  • Designing MySQL-backed features, schemas, migrations, indexes, keys, and query paths.
  • Reviewing MySQL SQL correctness, transaction behaviour, locking assumptions, or data modelling choices.
  • Implementing stored routines, generated columns, JSON usage, or application data-access conventions.

Do Not Use When

  • The task is unrelated to this parent skill or is better handled by a narrower active parent named in the workflow.
  • The request only needs a trivial answer and no reference module needs to be loaded.

Required Inputs

  • Gather the concrete system, repository, environment, constraints, and deliverable before loading references.
  • Identify which absorbed reference file is needed; do not load every migrated reference by default.

Workflow

  1. Start with database-design-engineering for model, integrity, tenancy, migration, and access-pattern framing.
  2. Load only the needed reference:
    • references/mysql-best-practices.md for MySQL defaults, constraints, engine choices, and safe conventions.
    • references/mysql-data-modeling.md for schema and relationship design.
    • references/mysql-advanced-sql.md for advanced query and SQL patterns.
  3. Administration, performance, backup, restore, and incident work also route here (the retired mysql-operations skill is an inactive alias of this skill).

Quality Standards

  • Make storage engine, character set, collation, key, and transaction assumptions explicit.
  • Prefer integrity in schema constraints and transactional boundaries before application-only enforcement.
  • Include migration safety notes for locks, long-running changes, rollback, and data verification.

Anti-Patterns

  • Treating absorbed reference files as active skills or separate routing entrypoints.
  • Loading every migrated child reference instead of the one that matches the task.
  • Producing generic advice without constraints, evidence, or next verification steps.

Outputs

  • MySQL schema, SQL, migration, or review output with loaded references and validation evidence.

References

  • Load the retained MySQL operations workflow for backup, restore, replication, production tuning, monitoring, and incidents.
  • Load only the references/.md files named in the workflow when their depth is required.

Evidence Produced

CategoryArtifactFormatExample
Data safetyMySQL schema and operations evidence packDDL, query plans, and runbookconstraints, migration, backup/restore, performance capture, and rollback

Inputs

InputRequiredPurpose
MySQL version and schemayesSelect valid features
Query shapes and cardinalitiesyesDesign indexes
Migration and availability constraintsyesPlan safe change

Capability contract

Review SQL and propose DDL by default. Execute migrations, routines, or data changes only with authorised credentials, environment scope, backup evidence, and rollback.

Degraded mode

If EXPLAIN plans or production statistics are unavailable, provide read-only hypotheses and validation SQL; do not claim a query is tuned.

Decision rules

ConditionAction
Scan is selective and frequentEvaluate a covering index
DDL may lock a hot tableUse an online or staged migration
Constraint encodes business truthEnforce it in the database

Domain Anti-Patterns

  • Using SELECT star in stable contracts. Fix: name columns.
  • Building SQL by interpolation. Fix: bind parameters.
  • Adding indexes without write-cost review. Fix: measure both paths.
  • Using zero dates as missing values. Fix: use nullable semantics.
  • Changing a hot table without lock analysis. Fix: test the DDL plan.

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 Mysql Engineering AI skill do?

Use when designing, implementing, administering, tuning, backing up, restoring, monitoring, or troubleshooting MySQL schemas and production systems; use database-reliability for datastore-independent SLO and recovery policy.

Why use Mysql Engineering on TypingMind?

Because you install it once and use it with any model. Mysql Engineering 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 Mysql Engineering in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/peterbamuhigire/chwezi-dev-engine/tree/main/skills/backend-databases/mysql-engineering. 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 Mysql Engineering?

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 Mysql Engineering?

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

Is the Mysql Engineering AI skill free?

Yes. It is published on GitHub by peterbamuhigire 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇