review_bundle
CommunityDecision-ready review bundles.
Content & Communication#documentation#evidence#quality-assurance#architecture-review#llm-context#bundle-generation
AuthorEndUser123
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Create comprehensive, decision-ready context bundles for LLM-based reviews of systems, including architecture, components, constraints, and known issues, with evidence-quality controls.
Core Features & Use Cases
- Single self-contained Markdown bundle containing system context, component inventory, architecture overview, design constraints, and known issues.
- Evidence quality controls: highlights verifiable information and excludes irrelevant data based on defined patterns.
- Use Case: Prepare material for external architectural reviews or compliance evaluations; ideal for AI-assisted QA about complex systems.
Quick Start
Invoke the review_bundle tool for the target system to generate a single, ready-to-use Markdown bundle containing context, architecture, and evidence at the designated staging location.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: review_bundle Download link: https://github.com/EndUser123/sdlc/archive/main.zip#review-bundle Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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