architect
Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in.
Skill by benkraus
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/benkraus-architect
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About
Use cases: design
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What's inside
- Skill name
architect- Description
- Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /skill:architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.
- License
- MIT
- Instructions
- 79 lines in SKILL.md · view on GitHub
Files (4)
- SKILL.md
- design-red-flags.md · references/
- rationale-template.md · references/
- runner-prompt.md · references/
SKILL.md (first lines)
# Architect Design before implementing. Sketch types, function signatures, class shapes, and module boundaries with `not implemented` bodies and pseudocode. Synthesize across multiple model perspectives, then fill in code against the chosen sketch. If implementation proves the sketch wrong, throw it out and redesign. ## Start Open a `todo` list with one entry per phase before starting. 1. Ground 2. Sketch 3. Agree 4. Implement 5. Scrap ## Phase A: Ground the problem Build a real mental model of every system the new code touches. Run the **how** skill (`skill://how`) over the relevant subsystems. Naming a file isn't grounding. Produce the traced model `how` prescribes. If the design redefines ownership or layering, also run the **why** skill (`skill://why`) on the existing shape so the rationale becomes a constraint, not a guess. Skip Phase A only when the work is genuinely greenfield with no surrounding system to integrate. ## Phase B: Sketch Run the **arena** skill (`skill://arena`) with the design-sketch task and the Phase A grounding artifacts. Pass `references/runner-prompt.md` as each runner's prompt. Each candidate produces a design package shaped per `references/rationale-template.md`. The runners are the three panel seats `pstack-panel-a`, `pstack-panel-b`, and `pstack-panel-c`, one subagent each. Extra candidates follow the runner rules in the **arena** skill's Phase A. Design it twice. Require at least two structurally distinct candidates before synthesis, even when the first looks sufficient. This is the **exhaust-the-design-space** principle skill (`skill://principle-exhaust-the-design-space`) made concrete. Whole-shape alternatives, not point fixes inside one shape. Screen every candidate against [`references/design-red-flags.md`](references/design-red-flags.md) before synthesis. Assume the next contributor is an agent that sees only the files it opened, copies the nearest example, and takes the shortest path that compiles. Prefer the design where a change that looks right from one file is right for the whole repo. Compare viable candidates on interface depth. Prefer the design that hides more complexity behind a smaller, simpler public surface. A rich interface can keep call chains short by concentrating capability instead of scattering it across layers. Arena returns one synthesized design package. The synthesis decision populates the rationale's "Synthesis decision" section. ## Phase C: Agree (opt-in) Default: proceed directly to implementation with the synthesized design. No human checkpoint. Opt in to a checkpoint when the invoker explicitly asks: "/skill:architect with checkpoint," "stop and show me before implementing," or similar. Then surface the synthesized design and pause for sign-off. The synthesis can ship as its own commit either way, as the "scaffold first" mode of the **foundational-thinking** principle skill (`skill://principle-foundational-thinking`). Planned and scoped breakage during fill-in is fine, per the **outcome-oriented-execution** principle skill (`skill://principle-outcome-oriented-execution`). For adversarial pressure on the design before implementing, run the **interrogate** skill (`skill://interrogate`) on the synthesized sketch. If the human pushes back on the shape (in a checkpoint or after the fact), treat that as Phase A evidence. Re-ground and re-run Phase B before writing more code. ## Phase D: Implement against the sketch Replace `not implemented` bodies with code, pseudocode with logic. The synthesized sketch is the contract. Deviations from the sketch are signal worth surfacing, not friction to absorb silently. If a function needs a parameter the sketch didn't anticipate, ask whether the sketch was wrong, the requirement was missed, or the implementation is overreaching. ## Phase E: Scrap when the architecture is wrong If implementation keeps producing friction the sketch can't absorb, throw the sketch out. Don't bolt fixes onto a wrong design, per the **redesign-from-first-principles** (`skill://principle-redesign-from-first-principles`) and **fix-root-causes** (`skill://principle-fix-root-causes`) principle skills. The signal is a *pattern*, not single instances. Tells: - The same shape of workaround appearing repeatedly across unrelated code. - Multiple unrelated edge cases that all need special-case branches. - Types that need escape hatches (`any`, casts, optional fields always set in practice) to compile. - The "we need a lock" reflex when the sketch said the state wasn't shared. - Callers having to know the abstraction's internal rules to use it. - Two or more independent Phase D deviations of the same shape across the implementation. Use judgment. A few edge cases don't condemn an architecture. Some problems are legitimately complex. Complexity in the data is not complexity in the design. When you scrap: 1. Re-run the **how** skill over what's been built. 2. Redesign as if the new constraints had been day-one assumptions, per redesign-from-first-principles. 3. Subtract before adding, per the **subtract-before-you-add** principle skill (`skill://principle-subtract-before-you-add`). The new sketch should be smaller than the old one before it grows. 4. Return to Phase B and re-run arena. ## Outputs The caller's usage is written first and the type sketch derived from it. One file with new types and signatures for small changes. Module map plus type definitions for larger work. The rationale ships alongside, shaped per `references/rationale-template.md`, including the usage sketch and the synthesis decision.
From benkraus/pstack-omp, MIT.
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Signals
- Stars
- 1
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (25 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/benkraus/pstack-omp
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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how
benkraus
Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which…
SkillAFreshness: A★ 1Claude Code +9 - 0.564score
interrogate
benkraus
Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
benchmark-checklist
benkraus
Vet a perf measurement (limiter, tuning, limits, errors, repeatability, relevance, and whether the work happened) before you report or act on it.
SkillAFreshness: A★ 1Claude Code +9 - 0.558score
automate-me
benkraus
Use for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how…
SkillAFreshness: A★ 1Claude Code +9 - 0.556score
no-comments
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Spawn Comment Sicko, fix accepted findings, and offer encodings for claimed constraints.
SkillAFreshness: A★ 1Claude Code +9 - 0.554score
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Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks.
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Cite this page
architect skill. Agent Mart. https://agentmart.dev/skills/benkraus-architect (last updated 2026-10-24)