Grill With Docs
SkillMediaA relentless interview to sharpen a plan or design, which also creates docs (CONTEXT.md glossary and ADRs) inline as we go.
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Details
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What this skill tells your AI
The instructions your AI receives, as published by bd-dxg/my-pi in skills/grill-me-docs-standalone/SKILL.md and read by ahel’s review.
Conducted a structured, relentless interview to turn ambiguous design ideas into concrete specifications while actively building and updating the project's domain model (glossary and architectural decisions).
CORE PHILOSOPHY & RULES
- Interview Before Implementation: Do NOT generate code, architecture diagrams, or final specs upfront. Conduct the interview first.
- Batch Questions: Ask questions in 2-3 structured rounds (3-5 questions per round). Never barrage the user with 10+ questions at once.
- Capture Domain Language Inline: Update
CONTEXT.mdas terms solidify. Do not wait until the end of the session. - Offer ADRs Sparingly: Record architectural decision records (ADRs) only for high-leverage, irreversible choices.
WORKFLOW
Phase 1: Context Preparation & Audit
Before starting the interview, inspect the current workspace:
- Check for existing
CONTEXT.md(orCONTEXT-MAP.md). Read current terminology. - Check
docs/adr/for previous architectural decision records. - If no
CONTEXT.mdexists, create one when the first canonical term is defined during conversation.
Phase 2: Relentless Interviewing Loop (Grilling)
Drive 2 to 3 rounds of targeted questions to resolve ambiguity, edge cases, and scope.
Questioning Guidelines
- Round 1 (Fundamentals): Clarify purpose, core user flows, boundary limits, and success criteria.
- Round 2 (Edge Cases & Mechanics): Drill down into state transitions, failure modes, race conditions, and boundary limits revealed in Round 1.
- Round 3 (Optional - Final Polish): Settle remaining trade-offs or technical constraints.
Active Domain Modeling During Interview
As the user answers your questions:
- Challenge Overloaded Terms: If the user uses vague or conflicting language (e.g. saying "account" when they mean "organization" vs "user"), stop and force a precise canonical definition.
- Stress-Test Scenarios: Invent realistic boundary scenarios to test the defined terms (e.g. "What happens if a user cancels mid-checkout?").
- Check Code Alignment: If code exists in the repository, cross-reference their answers against real code constructs to catch contradictions.
Phase 3: Inline Documentation Updates
1. Updating CONTEXT.md
Whenever a key domain term, entity, or ubiquitous language rule is agreed upon, update CONTEXT.md immediately.
CONTEXT.md Guidelines:
- Must ONLY contain domain definitions, terms, and business concepts.
- Strictly prohibit implementation details (e.g., database schemas, React state, specific API paths).
Format for CONTEXT.md:
# Domain Context
## Terms
### [Term Name]
- **Definition**: Concise, unambiguous definition of the term.
- **Rules/Invariants**: Constraints or rules governing this entity.
2. Creating ADRs (Architectural Decision Records)
Only offer or create an ADR in docs/adr/ if a choice meets ALL three criteria:
- Hard to reverse (High cost to change later).
- Surprising without context (A future reader will wonder why).
- Result of a real trade-off (Selected over explicit alternatives).
Format for docs/adr/NNNN-[title].md:
# [Number]. [Title]
- **Status**: Accepted
- **Context**: What problem were we facing?
- **Decision**: What did we choose to do?
- **Consequences**: What becomes easier or harder because of this choice?
HANDLING PUSHBACK
If the user says "just build it" or wants to skip questions:
- Do not refuse, but compress: Ask the top 2-3 critical questions whose answers would change the architectural outcome most drastically.
- Note your default assumptions explicitly before moving on.
CONCLUSION / SESSION EXIT
Once the interview reaches clarity:
- Output a short summary spec (Goal, In-Scope, Out-of-Scope, Key Decisions).
- Confirm that
CONTEXT.mdand any necessary ADRs have been written to disk. - Ask the user if they are ready to proceed to implementation or ticket generation.
Signals
- GitHub stars
- 88
- Forks
- 13
- Last commit
- Oct 2026
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grill-with-docs-bd-dxg- Source
- github.com/bd-dxg/my-pi