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discuss-change

Align on the shape of a change through an interview, then implement it. Escalates open product decisions and settles the implementation shape in conversation

Install / Use

npx skills add tobihagemann/turbo --skill discuss-change

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Tags

Our assessment of discuss-change

discuss-change scores 83/100 on our quality scale, 3262nd of 4,616 Development & Engineering skills we index.

Its SKILL.md is 10.0 KB long, well organised into 10 sections and no code examples: a thorough specification that gives an agent plenty to work with.

It has 405 GitHub stars, a meaningful sign that others use it.

Substance
29/30
Structure
13/20
Description
15/15
Adoption
11/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 12 days ago, so discuss-change is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-10-05. Automated pattern scan on 2026-10-05. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

discuss-change compared with similar skills

All 4 of these similar skills score higher than discuss-change; compare them before choosing.

SkillScoreStarsUpdatedFormat
discuss-change (this skill)by tobihagemann8340512d agoSKILL.md
ai-job-searchby MadsLorentzen10045.0ktodayCLAUDE.md
claude-howtoby luongnv8910041.8k5d agoCLAUDE.md
algorithmic-artby anthropics100177.9k13d agoSKILL.md
pptxby anthropics100177.9k13d agoSKILL.md

Frequently asked questions

How do I install discuss-change?
Run npx skills add tobihagemann/turbo --skill discuss-change. The install tabs above show the steps for each supported agent.
Which AI agents does discuss-change work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is discuss-change safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is discuss-change still maintained?
The repository was last updated 12 days ago, so discuss-change is actively maintained.

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 TaskCreate to create a task for each step:

  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 AskUserQuestion 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 WebSearch 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 from the current code, 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 AskUserQuestion to present the decision as a concise trade-off with options. Mark the strongest option "(Recommended)" and place it first. Treat the work of departing from the codebase's existing structure as a cost to state beside the option that incurs it, with no bearing on which option is strongest.

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-codex skill for what each option commits to, what reversing it costs, and what the prevailing convention is. Hold the concrete options to three so the question stays within the four-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 AskUserQuestion, 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.

| Area | What to explore | |---|---| | Prototype unknowns | What does the surface look like, and does the interaction pattern make sense in the hand? Separate these from ordinary design questions by whether an answer in prose would still leave the user guessing. | | Reuse vs new | Which existing code should the change build on? Which patterns should it deliberately not follow, and why? | | File placement | Where do new files live? Which existing files are modified? | | Data flow | How does data move through the change? Any new boundaries or contracts? | | Edge cases | Partial failure, empty states, backward compatibility, concurrency | | Tests | Which existing test patterns apply? Where do new tests live? | | Scope cut | Anything to explicitly defer? Keep in scope any items the change would otherwise leave as the last holdouts of the behavior it replaces, however small their payoff. |

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 from the current code, or from a screenshot requested from the user, before framing options. Drop any option its rendered state rules out.
  • When a question concerns how to guard against a state, find where that state is constructed before framing options. When a single place constructs it, offer making the state impossible to construct there alongside the shapes that detect it downstream or change its consumers.
  • When a question defines a boundary, contract, or data shape, add a Get a second opinion option and hold the concrete options to three so the question stays within the four-option limit. It runs the /consult-codex 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 three so the question stays within the four-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.
  • Before closing the discussion, hold each decision resolved in Step 2 or earlier in this step against the shape as it now stands: re-read what its chosen option was described as doing. Where a description no longer holds, name the claim that fails and re-ask that decision.
  • 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. Label any consistency or durability machinery the shape adds (a lease, lock, queue, versioning scheme, or new persistent entity) as machinery. For each, name the stated requirement or user decision that demands it, or say that none does, and state what dropping it would give up. For each deferred item, state the user story it serves, or what it simplifies when it is a technical item, and recommend noting it for later or dropping it. Recommend noting only an item that serves a goal the person using the software actually has or that simplifies existing code. 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 the shape defers items, add that an approval notes the ones recommended for noting and drops the rest, and can flip any of them. 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

  • 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, along with any deferred item the approval flips. Run the /note-improvement skill once for each deferred item settled as noted. Once every such item is noted, continue to Step 6.

Step 6: Run /implement Skill

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

Then use the TaskList tool and proceed to any remaining task.

Rules

  • Confine Steps 1 through 5 to reading, discussion, confirmation, any prototype those steps called for, and the backlog entries Step 5 notes.
  • 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.

Related Skills

View on GitHub
GitHub Stars405
CategoryDevelopment
Updated12d ago
Forks31

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions