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Design grill

Skill Yaphet2015/ya-skills/skills/design-grill

AI agent skill catalog and yk CLI for installing reusable Claude Code/Codex-ready skills into repos and running workflow tools like PBench, transcripts, and A-share data.

Install
npx -y skills add Yaphet2015/ya-skills --skill design-grill

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Use when stress-testing an idea, design, plan, architecture, PRD, or implementation approach before coding.

SKILL.md

3.9 KB, 840 tokens by cl100k_base, as published. Nobody here has run it

Design Grill

Use this skill to force shared understanding before implementation. The output is a cleaned-up decision summary, not code.

Inspired by gstack office-hours and Matt Pocock's grill-me, grilling, grill-with-docs, and domain-modeling skills. This is a rewrite for this catalog's workflow.

Hard Gate

Do not implement, scaffold, edit production code, run migrations, or perform mutating implementation commands while grilling. This skill produces decisions and documentation only.

If the user asks to implement during the session, stop the grill cleanly: finalize DESIGN-GRILL.md, report the accepted decisions, and wait for a separate implementation request.

Start With Repo Truth

Before asking anything the repository can answer:

  1. Inspect relevant docs, plans, existing DESIGN-GRILL.md, CONTEXT.md, CONTEXT-MAP.md, and ADRs if present.
  2. Search the codebase for the named feature, API, workflow, command, page, schema, or error.
  3. State assumptions explicitly and name conflicts instead of averaging them.

Ask only for product intent, trade-offs, missing constraints, or preferences that are not discoverable from the repo.

Use the same language as the user for questions, recommendations, and the final summary. Keep canonical technical terms such as ADR, PRD, API, and CONTEXT.md when they are clearer than translation.

Grilling Loop

Ask one question at a time. Every question must include your recommended answer and why.

For each answer:

  1. Record the decision immediately in the running DESIGN-GRILL.md.
  2. Note rejected alternatives when they matter.
  3. Resolve dependencies before moving to the next branch.
  4. Challenge vague words, broad audiences, weak success criteria, hidden distribution assumptions, and "build the platform first" thinking.

If the user gets impatient, ask only the two highest-leverage unresolved questions, then move to synthesis.

Decision Document

Maintain a repo-root DESIGN-GRILL.md as you go. If writes are unavailable, keep the same structure in chat.

During the session, it is a working log:

# Design Grill

## Goal

## Decisions

## Rejected Alternatives

## Open Questions

After the grill is complete, rewrite the file as a concise final summary:

# Design Grill

## Goal

## Accepted Decisions

## Rejected Alternatives

## Open Questions

## Recommended Approach

## Next Action

The final summary should be clean enough for an implementation agent to use without reading the whole conversation.

Domain Documentation

Use domain docs selectively:

  • Update CONTEXT.md only when a project-specific term is resolved. Keep it a glossary, not a spec or scratchpad.
  • Offer an ADR only when the decision is hard to reverse, surprising without context, and the result of a real trade-off.
  • Do not convert every decision into an ADR. Most decisions belong only in DESIGN-GRILL.md.

Final Synthesis

Before ending, present 2-3 implementation approaches:

  • one minimal viable approach;
  • one stronger long-term approach;
  • an optional third approach only when it is genuinely distinct.

Recommend one approach, explain the trade-off in one paragraph, then make the final DESIGN-GRILL.md match that recommendation.

Common Mistakes

MistakeCorrection
Asking questions the repo can answerSearch first, then ask only for intent or trade-offs.
Asking a batch of questionsAsk one question, wait, record the decision, continue.
Treating CONTEXT.md as the planKeep glossary terms in CONTEXT.md; keep decisions in DESIGN-GRILL.md.
Creating ADRs for every choiceADRs are only for hard-to-reverse, surprising trade-offs.
Slipping into implementationStop, finalize the decision summary, and wait for a separate implementation request.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.