One-click install
npx skills add https://github.com/kapilvirenahuja/garura --skill grill-me-kapilvirenahuja
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grill-me
Source: https://github.com/kapilvirenahuja/garura/tree/main/core/components/plays/grill-me
Command: npx skills add https://github.com/kapilvirenahuja/garura --skill grill-me-kapilvirenahuja

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It prevents weak, ambiguous, or drifting feature/epic/technical/design decisions from slipping through an intent interview by forcing concrete, cited constraints-backed decisions before downstream work begins.

Core Features & Use Cases

  • Adversarial human-in-the-loop scoping: Runs a multi-round interview that pushes back only with cited specificity against the anchored target’s declared constraints, rules, and failure scenarios.
  • Concrete gap closure with tension checks: Synthesizes the human’s answers into a concrete “shape so far,” checks it for contradictions/tensions, and re-asks when a cited tension remains.
  • Atomic target-shape close with follow-up: On approval, writes a locked shape document, every implied target-shape edit, the now→then epic (created or updated), and exactly one code follow-up issue—without touching code.

Quick Start

Invoke grill-me with the anchor type (epic, feature, tech-decision, or design-decision) and the target you want to lock, then answer the plain-language gap questions until the shape becomes defensible.

Frequently Asked Questions about grill-me

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I lock feature and epic decisions before engineering work begins?

Feature and epic decisions are locked through adversarial human-in-the-loop scoping that pushes back on weak answers with cited constraints. This multi-round gap-closing loop ensures decisions are concrete and defensible before downstream development begins.

What is adversarial decision-scoping for product epics?

Adversarial decision-scoping is a constraint-based interview process that checks your declared constraints and failure scenarios against human answers. It synthesizes a concrete decision shape, checks for tensions, and re-asks when contradictions remain before closing.

How do I run a tension-check on technical or design decisions?

Run a tension-check by synthesizing human answers into a concrete shape document and scanning for contradictions against cited constraints. If a tension remains, the loop re-asks targeted questions until the decision shape is fully defensible.

Can I use constraint-based scoping to generate a code follow-up issue?

Yes, constraint-based scoping produces an atomic close bundle that includes a locked shape document, a now-to-then epic, and exactly one code follow-up issue. This is filed without directly editing or touching your existing codebase.

What are the limitations of automated push-back during intent interviews?

Automated push-back is limited to at-most-one challenge per weak answer per round and operates without editing code. You must provide plain-language answers to gap questions, as it cannot resolve ambiguities or file multiple engineering follow-up issues automatically.