version: "1.0.2" name: discuss-change description: "Align on the shape of a change through an interview, then implement it. Escalates open product decisions and settles the implementation shape in conversation. Use when the user asks to \"discuss this change\", \"align on this change first\", \"ask me questions first\", \"interview me then implement\", \"agree on the approach before coding\", or wants the shape of a single change settled before any code is written."

Discuss Change

Escalate open decisions, agree on the implementation shape, then implement.

Task Tracking

Use update_plan to track each step, restating any remaining steps of a parent workflow alongside them:

1. Capture the task
2. Escalate product decisions
3. Deep-dive discussion
4. Confirm the shape
5. Act on the user's reply
6. Run $implement skill

Step 1: Capture the Task

Absorb the request without interrupting. Take the task from the user's request, or from conversation context when the task was already established. Restate the goal in one or two sentences and confirm.

Step 2: Escalate Product Decisions

Identify product or design decisions the request did not resolve. Escalate these via request_user_input before any code is written. Read the code the change would touch before judging whether a bullet matches. Skip when no bullet below matches the change.

Escalate when:

• The change requires choosing between user-facing behaviors the request did not specify (opt-in vs opt-out, strict vs lenient, sync vs async)
• The change assumes product requirements that were not stated
• Design trade-offs affect UX or product direction rather than technical implementation
• Multiple valid approaches exist and the choice is a matter of product preference, not technical merit
• The change would introduce a pattern not yet established in this codebase, or follow one sourced from outside it
• The change adds consistency or durability machinery (a lease, lock, queue, versioning scheme, or new persistent entity) that no stated requirement demands; carrying that machinery is itself a product decision

Do not escalate technical decisions the agent can make autonomously: which data structure, which existing pattern to follow, internal implementation approach. The boundary is product intent.

Confirm external constraints before escalating. When an option depends on a third-party API, service, or platform behaving a particular way, query documentation MCP tools (or web search as a fallback) and drop the option unless current documentation confirms that behavior.

Observe existing surfaces before escalating. When an option concerns how an existing surface looks, observe it as it currently renders, by running the app or from a screenshot requested from the user, and drop any option its rendered state rules out.

Apply the UX lens before escalating. When a decision concerns what an interaction does for the person using the software, run the $user-experience skill on it first, and state each option as the behavior that person gets and the goal it serves. Leave the mechanism behind each behavior to Step 3.

Output what is at stake as text first, even when the reading it came from is fresh in this conversation. When the decision turns on a failure or misuse scenario, that means the invariant the change would protect and what makes that scenario reachable given the existing guards. Then use request_user_input to present the decision as a concise trade-off with options. Mark the strongest option "(Recommended)" and place it first.

Offer a Get a second opinion option whenever the decision is costly to reverse (it establishes a pattern others will follow, defines an interface, commits to a data shape, or imports a pattern the codebase has not used), and whenever no option earns "(Recommended)" with conviction. It runs the $consult-claude skill for what each option commits to, what reversing it costs, and what the prevailing convention is. Hold the concrete options to two so the question stays within the three-option limit. Then resolve the decision with that answer in hand, re-asking when the choice stays the user's.

Step 3: Deep-Dive Discussion

Interview the user about the implementation shape until you reach shared understanding. Use request_user_input, one question at a time. Cover whichever of these matter for the task. Do not present a rigid checklist. Skip when the request and the resolved decisions already name the files to touch, the existing code to build on, and the tests to write.

Discussion Guidelines

• If a question can be answered by exploring the codebase, explore the codebase instead.
• When a question concerns how an existing surface looks, observe it as it currently renders, by running the app or from a screenshot requested from the user, before framing options. Drop any option its rendered state rules out.
• When a question defines a boundary, contract, or data shape, add a Get a second opinion option and hold the concrete options to two so the question stays within the three-option limit. It runs the $consult-claude skill for the soundest answer on technical merit alone, independent of the task's original scope; on a question of product intent, run it for what each answer commits to and what reversing it costs. Then resolve the question with that answer in hand, re-asking when the choice stays the user's.
• When a question turns on how a surface looks or how an interaction behaves, and an answer in prose would leave the user guessing, add a Prototype it first option and hold the concrete options to two so the question stays within the three-option limit. It runs the $prototype skill on that unknown, then asks the question again with the prototype in hand.
• Pair each question with a recommendation and the reasoning behind it, so the discussion stays collaborative.
• When the user says "you decide," make the call and explain why.
• Probe short answers before moving on.
• Stop once the shape is clear or the user signals readiness.

Step 4: Confirm the Shape

Output the agreed shape as text, short enough to read at a glance: what the change does, where it lands, the decisions resolved in Steps 2 and 3, how to tell it worked, and anything deliberately deferred. This text is the change description Step 6 implements, so keep it concrete enough to act on.

Close with how to reply: approve the shape as settled, or describe what to change. When an unknown that only a built artifact settles is still open, also offer prototyping it first, and recommend that over approving, since a surface or interaction pattern that is still unproven cannot be judged from the shape description.

Then end the turn.

Step 5: Act on the User's Reply

A goal continuation turn that carries no reply from the user is not an approval: end it without calling any tool and without advancing.

• Revise — apply the correction the user describes. Then re-present the shape, close with Step 4's reply guidance, and end the turn again.
• Prototype first — run the $prototype skill, then fold what it settled into the shape. Then re-present the shape, close with Step 4's reply guidance, and end the turn again.
• Approve — the shape is settled; continue to Step 6.

Step 6: Run $implement Skill

Run the $implement skill. The shape the user approved is the change it applies.

Then call update_plan to mark this step completed and continue with the next step of the active workflow.

Rules

• Confine Steps 1 through 5 to reading, discussion, confirmation, and any prototype those steps called for.
• If the work turns out to need writing down — unclear scope surfaces, the approach needs surveying first, or context risks being lost across sessions — stop and tell the user to run $turboplan for plan mode.