Mb Garden

Community

mrvladd-d

mb-garden

Clean up and maintain Memory Bank docs so they stay accurate and easy to load.

Overview

Publisher	mrvladd-d
Repository	`memobank`
Skill name	`mb-garden`
Stars	56
Forks	11
Bundled files	3
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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by mrvladd-d on GitHub. Read the source before you install it.

Installation

Install the Mb Garden 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/mrvladd-d/memobank/tree/main/skills/mb-garden
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/mrvladd-d/memobank.git /tmp/memobank
mkdir -p .claude/skills
cp -r /tmp/memobank/skills/mb-garden .claude/skills/mb-garden

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

Use it in TypingMind

Enable Mb Garden 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 Mb Garden 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 Mb Garden 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.

mb-garden — Memory Bank maintenance (doc gardening)

What it does: maintains Memory Bank docs, fixes hygiene issues, and keeps navigation coherent.
Use it when: .memory-bank/ exists and you want to reduce drift, stale docs, or broken routing.
Input: an existing .memory-bank/.
Output: a cleaner Memory Bank, resolved hygiene issues, and optional CI support for ongoing maintenance.

Goal

Keep .memory-bank/ accurate, navigable, and cheap-to-prime. mb-garden owns maintenance and cleanup guidance. The current package also ships deterministic tool assets, but mb-lint and mb-doctor remain separate gates with separate roles.

Preconditions

.memory-bank/ exists.

Process

1) Install deterministic maintenance tools

If the repo doesn’t have the tools yet:

Create scripts/mb-lint.mjs using assets/mb-lint.mjs.
Create scripts/mb-doctor.mjs using assets/mb-doctor.mjs.
Make them executable (optional).
Add package scripts (optional): "mb:lint": "node scripts/mb-lint.mjs" and "mb:doctor": "node scripts/mb-doctor.mjs".

Current package location includes both tool assets under mb-garden/assets; this is a packaging detail, not conceptual ownership of the doctor readiness role.

Then run:

bash
node scripts/mb-lint.mjs
node scripts/mb-doctor.mjs

Fix all ERROR findings:

missing YAML frontmatter (description + status)
broken links
missing folder index.md
invalid or missing schema-backed task records, including missing/invalid mandatory tier
obsolete .memory-bank/tasks/backlog.md or markdown task cards used as workflow state
old risk / risk.level task fields; task routing is only by task.tier

mb-lint is the structural/mechanical hygiene gate. mb-doctor is the workflow/autonomous readiness gate over mb-lint. Default mb-doctor is suitable for normal health checks and fresh skeletons. Run strict mode only after the JSON task queue exists: after /prd-to-tasks, before scheduler execution inside /autonomous, or before /autopilot when the queue is already prepared:

bash
node scripts/mb-lint.mjs
node scripts/mb-doctor.mjs --strict

Do not treat strict mode as required for a bare generated skeleton with an empty task registry.

2) Refactor for ergonomics

Split docs > ~700 lines into atomic docs + router index.
Ensure key concepts are covered either by classic duo docs (architecture WHAT/WHY + guides HOW) or by equivalent spec-driven support docs.
Replace copy-pasted code/config with links to source.

3) Archive stale or superseded docs

Move outdated docs to .memory-bank/archive/.
Leave a short tombstone stub in the original location with a link to the archive.

4) Optional: add CI gate

If the repo uses GitHub Actions:

Create .github/workflows/memory-bank-lint.yml from assets/memory-bank-lint.yml.

5) Produce a short report

Write a summary (what changed + what remains) to:

.tasks/TASK-MB-GARDEN/TASK-MB-GARDEN-S-01-final-report-docs-01.md

6) Weekly maintenance checklist

Run this checklist weekly (or every 5–10 meaningful changes):

Frontmatter audit: every .memory-bank/**/*.md has description + status.
Stale docs: scan for docs not updated in >2 weeks — archive or refresh.
Concept coverage check: every key concept is covered either by a matching architecture/<X>.md + guides/<X>.md pair or by clearly routed equivalent spec-driven support docs.
RTM sync: requirements.md RTM matches actual feature/test status.
Task record hygiene: completed tasks marked done in .task.json, every task has tier, and no orphaned tasks exist without a feature link.
Changelog: .memory-bank/changelog.md has entries for recent changes.
Index links: all links in index.md and router-indexes resolve correctly.
Archive tombstones: every doc in archive/ has a tombstone stub at original location.

Definition of done

node scripts/mb-lint.mjs passes (0 errors).
node scripts/mb-doctor.mjs readiness gate passes in default mode; --strict passes post-queue before scheduler/autopilot execution.
Index navigation is coherent.
No obvious duplication or stale docs without archive.
Weekly checklist items are addressed.

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 Mb Garden AI skill do?

Clean up and maintain Memory Bank docs so they stay accurate and easy to load.

Why use Mb Garden on TypingMind?

Because you install it once and use it with any model. Mb Garden 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 Mb Garden in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mrvladd-d/memobank/tree/main/skills/mb-garden. 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 Mb Garden?

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 Mb Garden?

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

Is the Mb Garden AI skill free?

Yes. It is published on GitHub by mrvladd-d 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

mb-garden — Memory Bank maintenance (doc gardening)

Goal

Preconditions

Process

1) Install deterministic maintenance tools

2) Refactor for ergonomics

3) Archive stale or superseded docs

4) Optional: add CI gate

5) Produce a short report

6) Weekly maintenance checklist

Definition of done

Bundled files

Frequently asked questions

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