resolve-grill-anchor

Resolve grilling anchors into product LTM files and inventory downstream touchpoints.

3|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/kapilvirenahuja/garura --skill resolve-grill-anchor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: resolve-grill-anchor
Source: https://github.com/kapilvirenahuja/garura/tree/main/core/components/skills/resolve-grill-anchor
Command: npx skills add https://github.com/kapilvirenahuja/garura --skill resolve-grill-anchor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents round-by-round discovery by locking a grilling session’s target and precomputing exactly which declared constraints and failure scenarios must be defended, along with every downstream artefact that could be impacted.

Core Features & Use Cases

  • Deterministic anchor resolution: Resolves an epic, feature, tech-decision, or design-decision identifier to a concrete LTM file under the configured product base path.
  • Guardrail extraction: Extracts constraints, business rules, and failure scenarios (and success scenarios when present) from the resolved anchor file.
  • Downstream impact inventory: Walks the product reference graph to enumerate every cross-referenced target-shape artefact so the session close bundle can be produced atomically.

Quick Start

Use resolve-grill-anchor with anchor_kind epic, anchor_target like E-001, product_base and stm_base from config, and issue set to your grilling issue number so it writes anchor-lock.yaml and downstream-touchpoints.yaml into the grill-me evidence directory.

Frequently Asked Questions about resolve-grill-anchor

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

FAQPage Schema
How do I lock a grilling session anchor and precompute downstream touchpoints for a product LTM?

To lock a grilling anchor, resolve an epic, feature, or design-decision identifier into a concrete product LTM file and inventory every downstream cross-referenced touchpoint. This prevents round-by-round discovery by precomputing declared constraints and failure scenarios before questioning begins.

What are deterministic workflows for extracting constraints and failure scenarios from a product LTM file?

Deterministic anchor resolution validates allowed anchor_kind values, then extracts constraints, business rules, and failure scenarios from the resolved product LTM file. For epic and feature anchors, it also extracts success scenarios to ensure comprehensive defensive preparation.

How do I inventory cross-referenced artefacts for a grill-me session close bundle?

Inventory cross-referenced artefacts by walking the product reference graph conservatively to enumerate every target-shape artefact impacted by the anchor. This produces a complete downstream touchpoint set required for an atomic session close bundle.

Does intent-driven development require YAML inventory files for SDLC governance?

Intent-driven development uses YAML inventory files for SDLC governance by writing anchor-lock.yaml and downstream-touchpoints.yaml as STM artefacts. These files are placed in the configured issue evidence or grill-me directory to maintain declared constraint traceability.

Can I use resolve-grill-anchor with tech-decision identifiers, or is it limited to epics and features?

You can use it with tech-decision and design-decision identifiers in addition to epics and features. The resolution validates allowed anchor_kind values and adapts guardrail extraction, only pulling success scenarios for epic and feature anchors.

What limitations exist when walking cross-references conservatively during anchor resolution?

Walking cross-references conservatively limits the downstream impact inventory to declared target-shape artefacts only, preventing speculative enumeration. This ensures the touchpoint set remains grounded in validated product references rather than inferred dependencies.