kb-ask

name: kb-ask description: Free-form Q&A grounded in the linq2db knowledge base. Spawns the kb-research subagent with a curated KB-doc shortlist; the agent answers from KB only and returns a synthesized answer plus citations. Optionally fetches full GitHub issue/PR bodies on demand. Read-only; never modifies the repo or the KB.

/kb-ask

User-triggered Q&A over the knowledge base. The skill builds a doc shortlist, hands the question to kb-research, and prints the synthesized answer.

Shared reference material

• ../../agents/kb-research.md — query agent contract
• ../../docs/kb-architecture.md — KB layout (used to scope shortlist)
• ../../docs/kb-areas.md — area registry (for keyword → area inference)

When to run

• Any KB-grounded question: "How does X work?", "Why is Y this way?", "What's the convention for Z?", "What's tracked in the GH wiki about provider P?"
• Inside other skills (e.g. /fix-issue step 1, /review-pr scope confirmation): callers can spawn kb-research directly with the same contract; /kb-ask is just the user-facing entry point.

The skill is not for:

• Live source-code questions where the KB is stale ("what does file X line 42 do right now?"). Use Read directly.
• Operations that need writing (creating issues, fixing bugs). Use /create-issue, /fix-issue.

Pre-conditions

• .claude/knowledge-base/ exists with at least step 0 + step 2 done (architecture overview present). Otherwise:

  KB is not built yet. Run /kb-build first.
  

Steps

1. Parse the question

The question is the skill's argument: /kb-ask <question>. If empty, prompt:

What would you like to know? (free-form):

2. Build the shortlist

Heuristics for which KB files to include in the agent's scope:

1. Glossary first. Always include glossary.md if it exists.
2. Area inference. Match question keywords against kb-areas.md Tier-1 file names + area codes (oracle, firebird, expression, translator, bulk). Hit areas → include their INDEX.md, issues.md, tech-debt.md, patterns.md.
3. Topic inference. Keywords like convention, style, naming, column-aligned → include conventions/*.md. Keywords like decision, breaking, release → include history/decisions/. Keywords like bug, tech debt, legacy → include conventions/legacy-patterns.md and detected-issues/index.json.
4. Always include architecture/overview.md and architecture/public-api.md as orientation.
5. Cap the shortlist at 12 file paths. If more match, prefer files with higher confidence and more recent last_verified.

For a question that mentions a specific issue/PR number (#5414), include github/issues-index.json and github/prs-index.json in scope, and set allowGhFetch: true so the agent can pull full body.

3. Spawn kb-research

Use the Agent tool with subagent_type: "kb-research":

question: <user's question, verbatim>
scope: [<shortlist paths>]
maxBudget: 30
allowSourceRead: false
allowGhFetch: true

Set allowSourceRead: true only if:

• The user explicitly said "and verify against current code", or
• The KB's relevant files are all confidence: low or > 180 days stale (the agent can't be expected to answer reliably without source).

4. Receive answer

The agent returns a markdown answer per its output template (Answer / Detail / Pointers / Caveats).

5. Print the answer

Print the agent's answer verbatim. Do not paraphrase or compress.

If the answer's Caveats section flags staleness, append a one-line suggestion at the end:

> Tip: KB last refreshed <date>; run /kb-refresh if you need fresher data.

6. Follow-up loop (optional)

After printing, accept follow-up:

> Follow-up question, or 'q' to quit:

For follow-ups, re-run from step 2 with the new question (the shortlist is rebuilt — questions can shift area). The follow-up does not carry conversational context into the agent — each call is a fresh kb-research invocation. The skill can include the previous question + answer summary in the scope field as a synthetic [prior-context] doc if the user asks something explicitly relative ("and what about X then?").

q exits.

Output discipline

• Never paraphrase the agent's citations. The agent is the source of truth for what the KB says; the skill is a thin pass-through.
• If kb-research returns the "I cannot fully answer from the KB" template, surface it directly and offer the user the suggested escape hatches (/kb-refresh, allowSourceRead: true, narrower scope).
• If multiple follow-ups in a row hit the same "what's missing" gap, suggest the user run /kb-build --force <step> to regenerate the relevant artifacts.

Do not

• Modify any file. Read-only end-to-end.
• Run /kb-refresh automatically. The user decides when to refresh.
• Override allowSourceRead without the user's go-ahead. The flag is opt-in for a reason.
• Cache answers between runs. Each call is independent — the KB on disk is the cache.