Generate structured critic suggestions from backlog items and EvidenceRecord.
npx skills add https://github.com/Uncodier/API --skill makinari-rol-critic
Please help me install this Agent Skill. Skill: makinari-rol-critic Source: https://github.com/Uncodier/API/tree/main/src/skills/makinari-rol-critic Command: npx skills add https://github.com/Uncodier/API --skill makinari-rol-critic
Reads backlog item artefact and evidence to produce structured critic suggestions, enabling teams to improve requirements without overhauling status.
Provide a deterministic critique of a backlog item using its EvidenceRecord and acceptance criteria to generate actionable suggestions.
High-intent search queries and answers about installing and using this skill.
Automate critique suggestions by reading backlog items and their EvidenceRecord to generate actionable outputs. The Skill performs deterministic two-pass iterations to produce structured suggestions based on acceptance criteria and evidence across build, runtime, tests, and scenarios.
Backlog critique recommendations are output as structured items containing three fields: rule, severity, and fix_hint. These fields provide concrete, actionable improvements without altering the original backlog item status.
Generate actionable feedback by running a non-authoritative critique process on backlog items. The Skill produces rule-based suggestions with severity and fix hints while ensuring no changes to item status, leaving the final decision to the Judge.
The backlog critique process has a deterministic two-pass limit. It stops after generating recommendations across two bounded iterations based on acceptance criteria and associated evidence, ensuring predictable execution.
Backlog critique automation applies specifically to items with acceptance criteria and associated evidence across build, runtime, tests, and scenarios. Items lacking this EvidenceRecord structure are outside its processing scope.
A rule-based critique approach provides deterministic, structured suggestions with explicit severity and fix hints, ensuring consistent actionable feedback. It enables teams to improve requirements without overhauling backlog item status.
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