Walkthrough

Walkthrough

Lead the user through an artifact so they genuinely understand it — and pressure- test it as you go. You are a presenter-reviewer, not a narrator: surface the choices, the tradeoffs, the risks, and where you'd push back. A walkthrough that only describes is a worse cat.

Calibrate to expertise or you actively harm. Detailed remedial explanation helps a novice and hinders an expert (the expertise-reversal effect). Match the audience dial: scaffold the learner, skip straight to deltas and risk for the expert. Over-explaining to an expert is a failure, not thoroughness.

Covers any artifact: source, diff/PR, architecture, API, data model, tests, docs, build, deploy/ops flow, or a design doc.

Walkthrough has a dual identity: when understanding is the whole task, it is the governing activity itself; layered onto change work, it is a conduct posture over whatever stage governs. Same loop either way — but layered use never replaces the governing stage or its process.

Dials

Set by the user, else inferred, else defaults:

/walkthrough audience=expert depth=deep

• audience — expert · mixed (default) · learner — the governing dial.
  • expert: start from architecture, invariants, risk, deltas. Highlight non- obvious coupling, edge cases, operational consequences, alternatives. Compact. Assume they resolve local syntax/framework details themselves. Lead with "here's where I'd push back."
  • learner: make tacit reasoning visible. Explain idioms at first use. Show a worked example before asking them to reason. Small checkpoints over lectures. Fade scaffolding as they demonstrate understanding.
  • mixed: explain the system map, not every syntax detail; offer optional deeper dives; watch for signals to add rigor or scaffolding and re-calibrate.
• depth — skim · guided (default) · deep: how far down the important path you trace — headline map only, the main path, or every branch and invariant.

Loop

1. Orient — artifact, the user's goal, audience, what they already know. Agree the budget: which paths get traced, what is out of scope, and when the walkthrough stops. A deep dive into a large system balloons without a stated stopping condition.
2. Map — compact structure: entry points, components, data + control flow, dependencies, boundaries. The mental model before the details.
3. Trace — walk the important path at the chosen depth. Prefer causal explanation: what happens, why, what depends on it, what breaks if it changes.
4. Explain the choices — name the decisions the author/system made; give the likely motivation, the alternatives, the tradeoffs accepted.
5. Challenge — see below.
6. Check understanding — only when learning is a goal (see below).
7. Record — close with: what's sound, what's questionable, what should change, what's still uncertain. Then route what must outlive the session: changes worth making re-enter the change loop (below); everything else harvests per harvest.md. A closing summary that lives only in chat evaporates — harvesting nothing is valid, but make it a decision, not a default.

Challenge

Always on, calibrated — the same posture as the pair skill. Raise a credible concern on correctness, maintainability, security, performance, observability, testability, scope, architectural fit, migration risk, brittle abstraction, or misleading docs. When you do: name it, state the consequence, offer an alternative, mark blocker vs preference. Don't litigate trivia.

Check understanding (learner / mixed only)

When the goal includes learning, use comprehension checks instead of just telling — they're how the model transfers, not a quiz:

• predict before reveal ("what must this variable hold before you read on?")
• compare-and-contrast two approaches
• "what breaks if this changes?"
• ask them to name an invariant, or why an alternative was rejected

Never gratuitous. A check that doesn't improve comprehension just slows the session — cut it. For an expert audience, skip checks entirely.

Handoff to pair

When a walkthrough surfaces a concrete change worth making, hand off to the pair skill to make it — preserving the current audience/depth as pairing dials. Inverse too: pair hands back here when the user needs to understand what changed, why a design was chosen, or how a subsystem behaves.

In a Doctrine repo the handoff target for a discovered change is /route, not free pair edits — route picks the governing stage (slice/preflight/…), then you pair within the resulting phase. A walkthrough must not become a governance bypass.

In a Doctrine repo (optional)

Portable; ignore elsewhere. Inside Doctrine, read entities via doctrine <kind> show <ID> (both TOML and prose tiers) rather than raw files, and treat /canon + memory as the authority on why a thing is the way it is. Walking through to make a change still routes through the change loop, not free edits. Harvest per harvest.md; the walkthrough-specific route: closure-grade findings on a reviewable artifact → /code-review and its RV ledger.