wiki-query

# wiki-query: Query the Wiki

The wiki has already done the synthesis work. Read strategically, answer precisely, and file good answers back so the knowledge compounds.

---

## Transport (v1.7+)

Reads should prefer the same transport the rest of the plugin uses. Consult `.vault-meta/transport.json` (auto-created by `bash scripts/detect-transport.sh`) and use the `preferred` entry:

- **cli** — `obsidian-cli read "$VAULT" "$NOTE"` and `obsidian-cli search "$VAULT" "<query>"` (Obsidian-native ranking); see [`skills/wiki-cli/SKILL.md`](../wiki-cli/SKILL.md)
- **mcp-obsidian** / **mcpvault** — `mcp__obsidian-vault__read_note`, `search_notes`; see [`skills/wiki/references/mcp-setup.md`](../wiki/references/mcp-setup.md)
- **filesystem** — Claude's `Read` and `Glob`/`Grep` tools (final floor; always works)

Full decision tree: [`wiki/references/transport-fallback.md`](../../wiki/references/transport-fallback.md). Quick mode (hot.md only) is transport-agnostic — always uses `Read`.

---

## Retrieval (v1.7+)

If `wiki-retrieve` is feature-detected — `[ -x scripts/retrieve.py ] && [ -d .vault-meta/chunks ] && [ -f .vault-meta/bm25/index.json ]` — Standard and Deep modes consult it BEFORE the legacy hot→index→drill chain:

```bash
python3 scripts/retrieve.py "<the user's question verbatim>" --top 5
```

Output is JSON with a `candidates` array. Each candidate has `absolute_path` to the source page, a `snippet`, and `bm25_score` + `rerank_score`. Read the cited pages (using the transport selector from §Transport above) and synthesize with chunk-level citation.

If `retrieve.py` exits 10 (feature not provisioned), or any step in the pipeline errors, fall back to the v1.6 legacy read order described in the Standard/Deep workflows below — no user-visible breakage.

Quick mode always skips retrieval (hot.md only — keeps the ~1,500 token budget intact).

Full spec: [`skills/wiki-retrieve/SKILL.md`](../wiki-retrieve/SKILL.md). Setup: `bash bin/setup-retrieve.sh`. The legacy read-order workflows below remain authoritative when wiki-retrieve is not installed.

---

## Query Modes

Three depths. Choose based on the question complexity.

| Mode | Trigger | Reads | Token cost | Best for |
|------|---------|-------|------------|---------|
| **Quick** | `query quick: ...` or simple factual Q | hot.md + index.md only | ~1,500 | "What is X?", date lookups, quick facts |
| **Standard** | default (no flag) | hot.md + index + 3-5 pages | ~3,000 | Most questions |
| **Deep** | `query deep: ...` or "thorough", "comprehensive" | Full wiki + optional web | ~8,000+ | "Compare A vs B across everything", synthesis, gap analysis |

---

## Quick Mode

Use when the answer is likely in the hot cache or index summary.

1. Read `wiki/hot.md`. If it answers the question, respond immediately.
2. If not, read `wiki/index.md`. Scan descriptions for the answer.
3. If found in index summary, respond and do not open any pages.
4. If not found, say "Not in quick cache. Run as standard query?"

Do not open individual wiki pages in quick mode.

---

## Standard Query Workflow

1. **Read** `wiki/hot.md` first. It may already have the answer or directly relevant context.
2. **Read** `wiki/index.md` to find the most relevant pages (scan for titles and descriptions).
3. **Read** those pages. Follow wikilinks to depth-2 for key entities. No deeper.
4. **Synthesize** the answer in chat. Cite sources with wikilinks: `(Source: [[Page Name]])`.
5. **Offer to file** the answer: "This analysis seems worth keeping. Should I save it as `wiki/questions/answer-name.md`?"
6. If the question reveals a **gap**: say "I don't have enough on X. Want to find a source?"

---

## Deep Mode

Use for synthesis questions, comparisons, or "tell me everything about X."

1. Read `wiki/hot.md` and `wiki/index.md`.
2. Identify all relevant sections (concepts, entities, sources, comparisons).
3. Read every relevant page. No skipping.
4. If wiki coverage is thin, offer to supplement with web search.
5. Synthesize a comprehensive answer with full citations.
6. Always file the result back as a wiki page. Deep answers are too valuable to lose.

---

## Token Discipline

Read the minimum needed:

| Start with | Cost (approx) | When to stop |
|------------|---------------|--------------|
| hot.md | ~500 tokens | If it has the answer |
| index.md | ~1000 tokens | If you can identify 3-5 relevant pages |
| 3-5 wiki pages | ~300 tokens each | Usually sufficient |
| 10+ wiki pages | expensive | Only for synthesis across the entire wiki |

If hot.md has the answer, respond without reading further.

---

## Index Format Reference

The master index (`wiki/index.md`) looks like:

```markdown
## Domains
- [[Domain Name]]: description (N sources)

## Entities
- [[Entity Name]]: role (first: [[Source]])

## Concepts
- [[Concept Name]]: definition (status: developing)

## Sources
- [[Source Title]]: author, date, type

## Questions
- [[Question Title]]: answer summary
```

Scan the section headers first to determine which sections to read.

---

## Domain Sub-Index Format

Each domain folder has a `_index.md` for focused lookups:

```markdown
---
type: meta
title: "Entities Index"
updated: YYYY-MM-DD
---
# Entities

## People
- [[Person Name]]: role, org

## Organizations
- [[Org Name]]: what they do

## Products
- [[Product Name]]: category
```

Use sub-indexes when the question is scoped to one domain. Avoid reading the full master index for narrow queries.

---

## Filing Answers Back

Good answers compound into the wiki. Don't let insights disappear into chat history.

When filing an answer:

```yaml
---
type: question
title: "Short descriptive title"
question: "The exact query as asked."
answer_quality: solid
created: YYYY-MM-DD
updated: YYYY-MM-DD
tags: [question, <domain>]
related:
  - "[[Page referenced in answer]]"
sources:
  - "[[wiki/sources/relevant-source.md]]"
status: developing
---
```

Then write the answer as the page body. Include citations. Link every mentioned conc