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Ask

skill-kv0906-pm-kit-ask · by kv0906

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?".

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Install

$ agentstack add skill-kv0906-pm-kit-ask

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

/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)
  1. 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)
  1. 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 Type | Search Path | |--------------|-------------| | Decisions | decisions/{project}/*.md | | Blockers | blockers/{project}/*.md | | Docs | docs/{project}/*.md, docs/general/*.md | | Status | 01-index/{project}.md | | General | All folders |

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

Step 4: Return Answer

Output Format

With results

## 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

## 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/QMDINTEGRATION.md](handbook/QMD_INTEGRATION.md) for setup.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.