aidlc-review

Review Jira Bolt implementations and GitLab MRs against acceptance criteria.

Updated Aug 23, 2026

Search Tags:#review #jira #gitlab #code-review #bolt #mr #aidlc

One-click install

npx skills add https://github.com/onesmartguy/raptor-claude-plugins --skill aidlc-review

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: aidlc-review
Source: https://github.com/onesmartguy/raptor-claude-plugins/tree/main/plugins/aidlc/skills/aidlc-review
Command: npx skills add https://github.com/onesmartguy/raptor-claude-plugins --skill aidlc-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables structured peer-review of Bolt implementations and AI-DLC documentation, providing confidence-scored findings to improve code quality, design alignment, and project governance.

Core Features & Use Cases

Perform Path A: Documentation Review — review Confluence/Jira artifacts for completeness, consistency, and traceability.
Perform Path B: Implementation Review — peer-review GitLab merge requests for Bolts, map AC to tests, and surface gaps with actionable remediation.
Task Tracking & Reporting — generate clear, prioritized findings with severity, rationale, and recommendations; optionally post results back to Jira or Confluence.

Quick Start

Provide the Jira Bolt key and the GitLab MR link(s) to begin the review.

Frequently Asked Questions about aidlc-review

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

FAQPage Schema

How do I perform a structured peer review of a GitLab merge request for a Jira Bolt?▼

Performing a structured peer review of a GitLab merge request for a Jira Bolt requires providing the Bolt key and MR links to map acceptance criteria to tests and generate scored, actionable findings.

Can I review Confluence and Jira documentation for traceability and completeness?▼

You can review Confluence and Jira documentation for traceability and completeness using Path A, which validates artifact consistency and generates a confidence-scored JSON report with actionable findings.

What is the best way to map acceptance criteria to tests across multiple GitLab MRs?▼

Mapping acceptance criteria to tests across multiple GitLab MRs is best achieved through bolt implementation review, which evaluates cross-MR consistency and surfaces remediation gaps with structured scoring.

Do I need manual input to review Jira Bolts if I lack direct GitLab API access?▼

You can provide manual input to review Jira Bolts without direct GitLab API access, enabling rigorous peer review that outputs a JSON report containing scores, findings, and severity ratings.

How does structured scoring work for AI-DLC documentation review?▼

Structured scoring for AI-DLC documentation review evaluates Confluence and Jira artifacts against acceptance criteria, generating prioritized findings with severity, rationale, and actionable recommendations.

Can I write peer review findings directly back to Jira or Confluence?▼

You can write peer review findings directly back to Jira or Confluence using optional write-back capabilities, posting prioritized results with severity and rationale to improve project governance.