Agent skill

Ask

by kv0906 in kv0906/pm-kit

Fast vault Q&A — quick lookups, decision history, blocker status, doc search.

MITAuto-check passedAI & LLM Engineering

Install Ask

skills CLI
$ npx skills add kv0906/pm-kit --skill ask -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kv0906/pm-kit ask --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kv0906/pm-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ask .claude/skills/ask && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ask
GitHub stars
138
Token cost
~781 tokens
SKILL.md length
275 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MIT

At a glance

Fast vault Q&A — quick lookups, decision history, blocker status, doc search.

  • Works in 3 steps: Detect Search Backend → Parse Question → Return Answer
  • /ask what did we decide about auth?
  • SKILL.md covers Context, Input, Processing Steps and Output Format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ask is an agent skill from kv0906/pm-kit. 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?".

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Retrieval-augmented generation. The repository describes itself as: AI-augmented PM workspace for Coding Agents — daily standups, decisions, blockers, docs, and sprint reviews as markdown skills. The licence is MIT.

When your agent uses it

  • /ask what did we decide about auth?
  • /ask whos blocked?

Example prompts

  • “/ask what did we decide about auth?”
  • “/ask who”
  • “/ask”

Requirements

  • Pre-approved tools (allowed-tools): Read, Glob, Grep

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Detect Search Backend
  2. Parse Question
  3. Return Answer

What it can do on your machine

Read from SKILL.md and the folder at commit 2cb5d9f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ask loads about 781 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 275 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~781

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from kv0906/pm-kit at commit 2cb5d9f, republished under its MIT licence (© kv0906). 275 words, ~781 tokens.

Download SKILL.mdSave it as .claude/skills/ask/SKILL.md (or your agent's skills folder).
name
ask
description
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?".
allowed-tools
Read, Glob, Grep
user-invocable
true

/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.

© kv0906, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/ask of kv0906/pm-kit.

Open the folder on GitHubat commit 2cb5d9f

Compare with similar skills

Ask next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ask compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ask this skillkv0906/pm-kit138—~781Automated safety check: PassMIT
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k8 repos~2.3kAutomated safety check: PassMIT
LLM Application DevMoizIbnYousaf/ai-agent-skills1.1k2 repos~1.3kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2594 repos~1.4kAutomated safety check: PassCustom licence
MCP Local RAGshinpr/mcp-local-rag407—~4.4kAutomated safety check: PassMIT
Ms Agent Framework RAGshuyu-labs/WebCode278—~1.1kAutomated safety check: PassCustom licence

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  • Chroma Vector Database

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Questions about Ask

What does Ask do?

Fast vault Q&A — quick lookups, decision history, blocker status, doc search. Ask is an agent skill from kv0906/pm-kit. Fast vault Q&A — quick lookups, decision history, blocker status, doc search.

When should I use Ask?

Ask fits situations like: /ask what did we decide about auth?; /ask whos blocked?.

How do I install Ask in Claude Code?

Run `npx skills add kv0906/pm-kit --skill ask -a claude-code`. Or copy the skill folder (.claude/skills/ask in kv0906/pm-kit) into .claude/skills/ask in your project. Claude Code loads it when a task matches its description.

How do I install Ask in Codex?

Run `npx skills add kv0906/pm-kit --skill ask -a codex`. Or copy the skill folder (.claude/skills/ask in kv0906/pm-kit) into .agents/skills/ask in your project. Codex loads it when a task matches its description.

Can I use Ask in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kv0906/pm-kit --skill ask -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ask, .gemini/skills/ask, .github/skills/ask and .opencode/skills/ask in your project.

What does Ask need to run?

SKILL.md names no scripts, command-line tools or credentials: Ask is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep.

Does Ask access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Ask safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ask use?

Ask is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ask use?

About 781 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ask?

Skills that share tags, products or a category with Ask: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 259 stars) and MCP Local RAG (shinpr/mcp-local-rag, 407 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ask?

kv0906 (a GitHub user) maintains it in kv0906/pm-kit, which has 138 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on June 29, 2026.

Source: kv0906/pm-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.