
Ask
- 3 installs
- 134 repo stars
- Updated June 29, 2026
- kv0906/pm-kit
Helps with ai & agent building tasks.
About
ask is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- ask
- AI & Agent Building
- AI-coding skill
Ask by the numbers
- 3 all-time installs (skills.sh)
- Ranked #13,677 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/kv0906/pm-kit --skill askAdd your badge
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| Installs | 3 |
|---|---|
| repo stars | ★ 134 |
| Last updated | June 29, 2026 |
| Repository | kv0906/pm-kit ↗ |
What it does
Helps with ai & agent building tasks.
Files
/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_resultsfrom 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 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 |
2. 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/QMD_INTEGRATION.md for setup.