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Apex design

Skill zeybek/apex/plugins/apex/skills/apex-design

Portable, open-source Agent Skills that give coding agents senior-engineering judgment to design, implement, review, and investigate software changes. Language- and framework-agnostic, with ready-to-install plugins for Claude Code and Codex.

Install
npx -y skills add zeybek/apex --skill apex-design

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What its author says it does

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Use this skill when turning a software change or new initiative into an implementable, reviewable plan before building — including a short or one-line request (such as a feature or page asked for in a single sentence) that should be scoped through clarifying questions first. Apply it to feature planning, architecture decisions, technical designs, API or schema evolution, data migrations, service boundaries, build-versus-buy choices, and reliability planning that need explicit requirements, alternatives, risks, contracts, and a sequenced task plan. It can be invoked directly or as a command, and it produces a persistent planning workspace that the implementation, review, and investigation workflows consume. Do not use it when a change is already decided and only needs implementation.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Apex Design

Turn an ambiguous or consequential request into an implementable, reviewable decision and a sequenced plan. Optimize for the required outcomes and constraints, not for a preferred architecture style. Even a one-line request earns a full, deliberate planning pass.

Workflow

1. Frame the decision

  • State the problem, desired outcome, scope, non-goals, constraints, and decision owner.
  • Separate verified facts, assumptions, and unresolved questions.
  • Identify what must be decided now and what can remain reversible.

2. Inspect the existing system

  • Read repository instructions, relevant code, diagrams, tests, schemas, operations documentation, and recent decisions.
  • Map current responsibilities, dependencies, data flow, failure behavior, and operational ownership.
  • Explain why the current design does not satisfy the requested outcome before proposing a replacement.

3. Clarify with the user

Read clarifying-questions.md. After discovering everything the repository and request already answer, run an interactive clarifying-question loop on the decisions you cannot infer — audience, primary goal, priorities among competing qualities, constraints, explicit scope and non-goals, and success criteria.

  • Ask in small, prioritized batches; offer concrete options with a recommended default.
  • State the assumption you will proceed with if a question goes unanswered.
  • Record each resolved answer as a numbered decision (D-01, D-02, …).
  • Iterate until the remaining unknowns are safe assumptions with revisit conditions, not open scope.

4. Define quality scenarios

Read quality-attributes.md when a goal is stated as an adjective such as "scalable", "secure", or "maintainable". Convert vague goals into prioritized, measurable scenarios with identifiers (R-01, R-02, …). Include important failure and abuse scenarios.

5. Develop credible alternatives

Read architecture-tradeoffs.md when more than one option is credible. Include the current design when retaining it is credible. Compare alternatives against the same outcomes, quality scenarios, constraints, delivery cost, and operational burden.

6. Choose and pressure-test

  • Recommend one option and state why it wins under the stated priorities.
  • Identify tradeoffs, sensitivities, failure modes, irreversible decisions, and assumptions that could invalidate the choice.
  • Prefer reversible steps when evidence is weak.

For public interfaces, persistent data, events, or rolling deployments, read contracts-and-migrations.md.

7. Make the design executable

Specify enough detail for implementation and review:

  • component responsibilities and ownership;
  • data and control flow;
  • external and internal contracts;
  • invariants, validation, and failure behavior;
  • security, privacy, and access boundaries;
  • observability and operational ownership;
  • migration, rollout, rollback or roll-forward;
  • verification strategy and acceptance evidence.

Break the work into atomic, dependency-ordered tasks (T-01, T-02, …), each with the files it touches, a concrete verification, an acceptance condition, and the decisions and requirements it satisfies. Avoid implementation detail that does not affect a decision, contract, or risk.

8. Record the decision and write the workspace

Use decision-record.md for the decision itself. Then persist the full result as a planning workspace following planning-workspace.md: create .apex-design/<NNN-slug>/ in the target repository with brief.md, requirements.md, design.md, plan.md, and progress.md, plus the workspace README.md index. Carry the D-, R-, and T- identifiers across the files so the reasoning stays traceable. This workspace is the handoff that the implementation, review, and investigation workflows read.

Output Standard

A strong design enables another engineer to understand the decision, challenge its assumptions, implement it from the plan, verify it, operate it, and recognize when it should be revisited.

Method Gotchas

  • Discover before you ask: a question whose answer is already in the repository wastes trust; an assumption that should have been a question produces the wrong plan.
  • Scope creep hides in vaguely written non-goals; state what you are deliberately not solving as precisely as what you are.
  • The current design is a real alternative — evaluate it on the same axes instead of strawmanning it to justify a rewrite.
  • A "simple" option that ignores a required quality scenario is not simple, it is incomplete; price the missing work before comparing.
  • Reversibility is a feature: when evidence is weak, prefer a cheaper undoable step over a confident one-way decision.
  • Most design disagreements are really disagreements about priorities; surface the priority order before debating mechanisms.
  • The workspace records the decision; it does not make it. Do not let producing files substitute for the reasoning behind them.

Worked Example

Request (one line): "Build me a landing page."

  1. Frame: the outcome is a page that converts a defined visitor into a defined action; the decision owner is the requester. Reversible to rebuild, but the primary goal shapes everything downstream.
  2. Inspect: the repository has an existing component library and brand tokens; record those as facts so they are not re-asked.
  3. Clarify: ask the few decisions that change the plan — who the audience is, the single primary call to action, must-have sections, and how success is measured. Record answers as D-01 (audience), D-02 (primary CTA: start free trial), D-03 (launch deadline).
  4. Quality scenarios: R-01 first contentful paint under two seconds on a mid-range phone; R-02 the CTA is reachable by keyboard and screen reader; abuse scenario R-03 the contact form resists spam submissions.
  5. Alternatives: (a) a static page in the existing framework; (b) a page builder dependency; (c) a bespoke service. Compare on delivery cost, performance, and maintainability.
  6. Choose (a): it meets the performance and accessibility scenarios with the existing stack and no new dependency; record the spam-control risk with a control.
  7. Executable: tasks T-01 scaffold the route, T-02 build the hero and CTA, T-03 add the form with validation and spam control, each with a concrete verify and acceptance.
  8. Workspace: write .apex-design/001-landing-page/ with the brief, requirements, design, plan, and progress board, carrying the D-/R-/T- identifiers.

Design Checklist

  • Problem, outcome, scope, non-goals, and decision owner are written down.
  • Everything inferable was discovered before asking, and remaining ambiguity was resolved as numbered decisions.
  • Vague goals are converted into prioritized, measurable quality and abuse scenarios with identifiers.
  • The current design is included as an alternative and compared on the same axes.
  • One option is recommended with an explicit reason it wins under the stated priorities.
  • Contracts, failure behavior, migration, rollback, and verification are specified.
  • The plan is a sequence of atomic tasks, each with files, verify, acceptance, and the decisions and requirements it satisfies.
  • A .apex-design/<slug>/ workspace persists the brief, requirements, design, plan, and progress with traceable identifiers.

Keep looking

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