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Ask

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kv0906
ask

Fast vault Q&A — quick lookups, decision history, blocker status, doc search. Uses QMD hybrid search when available, falls back to vault grep. Use for "/ask what did we decide about auth?" or "/ask who's blocked?".

Overview

Publisherkv0906
Repositorypm-kit
Skill nameask
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 Ask 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/ask
  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/ask .claude/skills/ask
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ask 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 Ask 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 Ask 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.

/ask — Question Answering

Fast answers from your vault. Uses QMD hybrid search (BM25 + vector + rerank) when available, with automatic fallback to vault grep.

Context

Config: @_core/config.yaml

Input

User input: $ARGUMENTS

Processing Steps

Step 1: Detect Search Backend

Check if QMD MCP tools are available in the current session:

  1. Try qmd_status (MCP tool) to check QMD availability and index state.
  2. Evaluate result:
    • QMD available AND has embedded docs → use QMD mode
    • QMD available but 0 embedded docs → use Fallback mode + hint
    • QMD not available (tool missing/error) → use Fallback mode

Step 2: Parse Question

  • Detect project if mentioned
  • Identify question type:
    • "what did we decide about X" → decisions
    • "who's blocked" → blockers
    • "find doc for X" → docs
    • "status of X" → index

Step 3A: QMD Mode (preferred)

When QMD is available and indexed:

  1. Deep search: Call qmd_deep_search with the user's question.
    • Use collection filter from config: _core/config.yaml → qmd.collection_name (default: pm-kit)
    • Cap results: use qmd.max_results from config (default: 8)
  2. Retrieve top docs: Call qmd_get or qmd_multi_get for the top-scored results.
    • Apply minimum score threshold from config: qmd.min_score (default: 0.35)
  3. Synthesize answer: Read the retrieved content and produce a grounded answer with source citations.

Step 3B: Fallback Mode (vault grep)

When QMD is not available or not indexed:

  1. Search Strategy

    Question TypeSearch Path
    Decisionsdecisions/{project}/*.md
    Blockersblockers/{project}/*.md
    Docsdocs/{project}/*.md, docs/general/*.md
    Status01-index/{project}.md
    GeneralAll folders
  2. Search Methods

    • Filename match first (fastest — naming-as-API)
    • Frontmatter field match
    • Content grep (slower)

Step 4: Return Answer

Output Format

With results

markdown
## Answer

{Direct answer — 1-3 sentences, grounded in source content}

### Sources
- `{file-path}` — {brief context why this source is relevant}
- `{file-path}` — {brief context}

### Search Mode
{QMD (deep) | Fallback (vault grep)}

No results

markdown
## No Results Found

Searched: {folders or QMD collection}
Query: "{query}"

**Suggestions**:
- Try broader terms
- Check spelling
- Run `qmd embed` if QMD is installed but not indexed

### Search Mode
{QMD (deep) | Fallback (vault grep)}

Fallback mode hint

When running in Fallback mode, append after the answer:

Tip: Install QMD for smarter search with semantic understanding. See handbook/QMD_INTEGRATION.md for setup.

Frequently asked questions

What does the Ask AI skill do?

Fast vault Q&A — quick lookups, decision history, blocker status, doc search. Uses QMD hybrid search when available, falls back to vault grep. Use for "/ask what did we decide about auth?" or "/ask who's blocked?".

Why use Ask on TypingMind?

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

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

Which AI models can use Ask?

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 Ask?

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

Is the Ask 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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