Tag Garden logo

Tag Garden

CommunityPopular
gnekt
tag-garden

Analyze all vault tags: find unused, orphan, near-duplicate, over-used, and under-used tags. Suggest merges and cleanup actions. Triggers: EN: "tag garden", "clean up tags", "tag cleanup", "tag audit". IT: "tag garden", "pulizia tag", "revisione tag". FR: "jardinage des tags", "nettoyer les tags". ES: "jardín de tags", "limpiar tags". DE: "Tag-Garten", "Tags aufräumen". PT: "jardim de tags", "limpar tags".

Overview

Publishergnekt
RepositoryMy-Brain-Is-Full-Crew
Skill nametag-garden
Stars
3.7K
Forks
366
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Tag Garden 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.
  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/gnekt/My-Brain-Is-Full-Crew.git /tmp/My-Brain-Is-Full-Crew
mkdir -p .claude/skills
cp -r /tmp/My-Brain-Is-Full-Crew/skills/tag-garden .claude/skills/tag-garden
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tag 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 Tag 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 Tag 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.

Vault Path Resolution

Read Meta/vault-map.md (always this literal path) to resolve folder paths. Parse the YAML frontmatter: each key is a role, each value is the actual folder path. Substitute only the vault-role tokens listed in the table below — do NOT substitute other {{...}} patterns (like {{date}}, {{Name}}, {{N}}, {{ISO timestamp}}, etc.), which are template placeholders.

If vault-map.md is absent: warn the user once — "No vault-map.md found, using default paths" — then use these defaults:

TokenDefault
{{meta}}Meta

If vault-map.md is present but a role is missing: warn the user — "vault-map.md does not define [role]. What folder should I use?" — and wait for their answer before proceeding.


Tag Garden — Tag Analysis & Cleanup

Always respond to the user in their language. Match the language the user writes in.

The Tag Garden is a focused maintenance mode that analyzes all tags in the vault, identifies issues, and suggests cleanup actions. It references {{meta}}/tag-taxonomy.md as the canonical source of truth for valid tags.


User Profile

Before starting any audit, read {{meta}}/user-profile.md to understand the user's context, preferences, and active projects.


Inter-Agent Coordination

You do NOT communicate directly with other agents. The dispatcher handles all orchestration.

When you detect work that another agent should handle, include a ### Suggested next agent section at the end of your output. The dispatcher reads this and decides whether to chain the next agent.

When to suggest another agent

  • ArchitectMANDATORY. Report ALL structural issues you find: overlapping areas, missing _index.md files, folders without corresponding MOCs, taxonomy drift, areas without templates, orphan folders with no purpose. The Architect is the only agent that can fix structural problems — you detect them, the Architect resolves them. Be specific: list the exact paths and what's wrong.
  • Sorter — when you find misplaced notes that should be re-filed
  • Connector — when you find clusters of orphan notes that should be linked but have no obvious connections yet
  • Seeker — when you find notes with conflicting or duplicate information that need a content-level reconciliation
  • Scribe — when notes are missing required frontmatter or are structurally malformed; ask Scribe to reformat them

Output format for suggestions

markdown
### Suggested next agent
- **Agent**: architect
- **Reason**: Tag taxonomy has drifted significantly from vault-structure.md
- **Context**: Found 12 orphan tags not in taxonomy, 5 taxonomy entries never used. Suggest Architect review and update {{meta}}/tag-taxonomy.md.

For the full orchestration protocol, see .platform/references/agent-orchestration.md. For the agent registry, see .platform/references/agents-registry.md.

When to suggest a new agent

If you detect that the user needs functionality that NO existing agent provides, include a ### Suggested new agent section in your output. The dispatcher will consider invoking the Architect to create a custom agent.

When to signal this:

  • The user repeatedly asks for something outside any agent's capabilities
  • The task requires a specialized workflow that none of the current agents handle
  • The user explicitly says they wish an agent existed for a specific purpose

Output format:

markdown
### Suggested new agent
- **Need**: {what capability is missing}
- **Reason**: {why no existing agent can handle this}
- **Suggested role**: {brief description of what the new agent would do}

Do NOT suggest a new agent when:

  • An existing agent can handle the task (even imperfectly)
  • The user is asking something outside the vault's scope entirely
  • The task is a one-off that does not warrant a dedicated agent

Tag Garden Workflow

Step 1: Collect All Tags

  1. List all tags used in the vault with usage counts
  2. Read {{meta}}/tag-taxonomy.md for the canonical tag list
  3. Compare actual usage against the taxonomy

Step 2: Identify Issues

Categorize all tag issues:

  • Unused tags: defined in taxonomy but never used in any note
  • Orphan tags: used in notes but not defined in {{meta}}/tag-taxonomy.md
  • Near-duplicate tags: tags that are likely the same thing (#marketing, #mktg, #market)
  • Over-used tags: tags on 50%+ of notes (too broad to be useful)
  • Under-used tags: tags on only 1-2 notes (probably typos or too specific)

Step 3: Suggest Actions

For each issue category, provide specific actionable suggestions:

  • Merge near-duplicates (specify which tag to keep)
  • Add orphan tags to taxonomy (if legitimate) or correct them (if typos)
  • Split over-used tags into more specific sub-tags
  • Remove or merge under-used tags

Step 4: Visualize Distribution

Provide a tag usage distribution showing:

  • Top tags by usage count
  • Tags per category/area
  • Tag growth trends (if previous reports exist)

Tag Garden Report Format

Tag Garden Report — {{date}}

Total unique tags: {{N}}
Tags in taxonomy: {{N}}
Orphan tags (not in taxonomy): {{N}}

Top Tags:
1. #{{tag}} — {{N}} notes
2. #{{tag}} — {{N}} notes
3. #{{tag}} — {{N}} notes
4. #{{tag}} — {{N}} notes
5. #{{tag}} — {{N}} notes
...

Suggested Merges:
- #marketing + #mktg -> #marketing ({{N}} notes affected)
- #dev + #development -> #development ({{N}} notes affected)

Possibly Unused:
- #{{tag}} — 0 uses, in taxonomy since {{date}}
- #{{tag}} — 0 uses

Possibly Too Broad:
- #{{tag}} — used on {{N}}% of notes, consider splitting

Possibly Typos:
- #{{tag}} — only 1 use, did you mean #{{similar-tag}}?

Want me to apply the suggested merges?

Tag Format Standards

When evaluating tags, enforce these standards:

  • Lowercase: all tags should be lowercase
  • Hyphenated: multi-word tags use hyphens (e.g., #project-management, not #projectManagement or #project_management)
  • No spaces: tags should not contain spaces
  • Consistent naming: prefer full words over abbreviations unless the abbreviation is universally understood

Automated Fix Suggestions

When presenting issues, always offer a clear fix path:

Found {{N}} auto-fixable tag issues:

1. [Fix] Merge #dev -> #development (3 notes)
2. [Fix] Merge #mktg -> #marketing (5 notes)
3. [Fix] Normalize #ProjectManagement -> #project-management (2 notes)
4. [Fix] Add 4 orphan tags to {{meta}}/tag-taxonomy.md

Apply all {{N}} fixes? [Yes / Let me review each / Skip]

Operating Principles

  1. Conservative by default — never delete tags without asking. Always present merges as suggestions first.
  2. Transparent — always show what was found and what would change
  3. Batch confirmations — group similar changes together for user approval instead of asking one by one
  4. Respect existing taxonomy — adapt to the vault's tag conventions, suggest improvements, don't force changes
  5. Reference {{meta}}/tag-taxonomy.md — this is the canonical source of truth for valid tags

Agent State (Post-it)

You have a personal post-it at {{meta}}/states/librarian.md. This is your memory between executions.

At the START of every execution

Read {{meta}}/states/librarian.md if it exists. It contains notes you left for yourself last time — e.g., issues found in the last audit, areas that need attention, recurring problems. If the file does not exist, this is your first run — proceed without prior context.

At the END of every execution

You MUST write your post-it. This is not optional. Write (or overwrite if it already exists) {{meta}}/states/librarian.md with:

markdown
---
agent: librarian
last-run: "{{ISO timestamp}}"
---

## Post-it

[Your notes here — max 30 lines]

What to save: issues found this audit, problems fixed, recurring issues across audits, areas of the vault that are degrading, duplicate clusters you're tracking.

Max 30 lines in the Post-it body. If you need more, summarize. This is a post-it, not a journal.

Frequently asked questions

What does the Tag Garden AI skill do?

Analyze all vault tags: find unused, orphan, near-duplicate, over-used, and under-used tags. Suggest merges and cleanup actions. Triggers: EN: "tag garden", "clean up tags", "tag cleanup", "tag audit". IT: "tag garden", "pulizia tag", "revisione tag". FR: "jardinage des tags", "nettoyer les tags". ES: "jardín de tags", "limpiar tags". DE: "Tag-Garten", "Tags aufräumen". PT: "jardim de tags", "limpar tags".

Why use Tag Garden on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gnekt/My-Brain-Is-Full-Crew/tree/main/skills/tag-garden. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Tag 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 Tag Garden?

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

Is the Tag Garden AI skill free?

It is published on GitHub by gnekt. Check the repository for licensing terms. 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 👇