Install
$ agentstack add skill-kv0906-pm-kit-ask ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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:
- Try
qmd_status(MCP tool) to check QMD availability and index state. - 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:
- Deep search: Call
qmd_deep_searchwith the user's question.
- Use collection filter from config:
_core/config.yaml → qmd.collection_name(default:pm-kit) - Cap results: use
qmd.max_resultsfrom config (default: 8)
- Retrieve top docs: Call
qmd_getorqmd_multi_getfor the top-scored results.
- Apply minimum score threshold from config:
qmd.min_score(default: 0.35)
- 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:
- 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 |
- 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.
- Author: kv0906
- Source: kv0906/pm-kit
- License: MIT
- Homepage: https://willtran.xyz
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.