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Vault Ops

Community
kv0906
vault-ops

Core vault file operations — read/write notes, manage wiki-links, process templates with Handlebars syntax, enforce naming conventions. Auto-invoked for all file operations.

Overview

Publisherkv0906
Repositorypm-kit
Skill namevault-ops
Stars
140
Forks
35
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

    Published by kv0906 on GitHub. Read the source before you install it.

Installation

Install the Vault Ops 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/kv0906/pm-kit/tree/main/.claude/skills/vault-ops
  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/kv0906/pm-kit.git /tmp/pm-kit
mkdir -p .claude/skills
cp -r /tmp/pm-kit/.claude/skills/vault-ops .claude/skills/vault-ops
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vault Ops 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 Vault Ops 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 Vault Ops 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 Operations Skill

Core operations for reading, writing, and managing files in a PM-Kit vault.

Vault Structure

pm-kit/
├── CLAUDE.md           # Vault context (read first)
├── _core/              # config.yaml, MANIFESTO.md, PROCESSING.md
├── _templates/         # Note templates (ALWAYS USE)
├── 00-inbox/           # Unprocessed captures
├── 01-index/           # Project MOCs
├── daily/              # YYYY-MM-DD.md (multi-project)
├── docs/{project}/     # PRDs, specs
├── decisions/{project}/ # Decision records
├── blockers/{project}/  # Active blockers
├── meetings/           # Meeting notes
├── reports/            # Generated reports
│   └── previews/       # HTML previews (/preview, /report --preview)
└── _archive/           # Archived by YYYY-MM/

Naming Conventions (Naming-as-API)

Strict filename patterns enable glob queries without a database:

TypePatternExample
Dailydaily/YYYY-MM-DD.mddaily/2026-01-15.md
Docdocs/{project}/{slug}.mddocs/project-a/checkout-flow.md
Decisiondecisions/{project}/YYYY-MM-DD-{slug}.mddecisions/project-a/2026-01-15-auth-approach.md
Blockerblockers/{project}/YYYY-MM-DD-{slug}.mdblockers/project-a/2026-01-15-api-rate-limit.md
Meetingmeetings/YYYY-MM-DD-{type}-{slug}.mdmeetings/2026-01-15-sync-sprint-review.md
Inbox00-inbox/YYYY-MM-DD-{slug}.md00-inbox/2026-01-15-quick-thought.md
Index01-index/{project}.md01-index/project-a.md

File Operations

Creating Notes

  1. Check if note already exists (naming-as-API enables fast lookup)
  2. Load appropriate template from _templates/
  3. Replace template variables (Handlebars syntax)
  4. Add YAML frontmatter with type, project, status, date, tags
  5. Insert wiki-links to related notes
  6. Write to correct folder per naming convention

Editing Notes

  • Preserve YAML frontmatter structure
  • Maintain existing wiki-links
  • Use consistent heading hierarchy
  • Apply standard tag format

Wiki-Link Format

markdown
[[Note Name]]                    # Simple link
[[Note Name|Display Text]]       # Link with alias
[[Note Name#Section]]            # Link to heading
[[folder/Note Name]]             # Link with path

Template Variables

When processing templates, replace Handlebars syntax:

  • {{date}} → Today's date (YYYY-MM-DD)
  • {{project}} → Project ID
  • {{project_name}} → Project display name
  • {{title}} → Note title
  • {{slug}} → URL-safe slug

YAML Frontmatter

All notes require frontmatter:

yaml
---
type: [daily|doc|decision|blocker|meeting|inbox|index]
project: {project-id}
status: {per note_types in config.yaml}
date: YYYY-MM-DD
tags: []
---

Auto-Linking Rules

FromLinks To
Daily (blocked item)blockers/{project}/
Meetingdecisions/{project}/, blockers/{project}/
Decisiondocs/{project}/
Docdecisions, blockers

Archive Rules

Move to _archive/YYYY-MM/ when:

  • Blocker status → resolved
  • Doc status → shipped
  • Decision status → superseded

Frequently asked questions

What does the Vault Ops AI skill do?

Core vault file operations — read/write notes, manage wiki-links, process templates with Handlebars syntax, enforce naming conventions. Auto-invoked for all file operations.

Why use Vault Ops on TypingMind?

Because you install it once and use it with any model. Vault Ops 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 Vault Ops in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kv0906/pm-kit/tree/main/.claude/skills/vault-ops. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Vault Ops?

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 Vault Ops?

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

Is the Vault Ops AI skill free?

Yes. It is published on GitHub by kv0906 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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