project-knowledge-check

Analyze repository architecture knowledge gaps and implementation risks across ingestion, retrieval, MCP server, tracing, and evaluation workflows during code review and onboarding.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/zhuangfanupup/modular-rag-mcp-server --skill project-knowledge-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-knowledge-check
Source: https://github.com/zhuangfanupup/modular-rag-mcp-server/tree/main/.github/skills/project-learner
Command: npx skills add https://github.com/zhuangfanupup/modular-rag-mcp-server --skill project-knowledge-check

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps maintainers verify whether they truly understand a codebase before making architecture or implementation changes, reducing blind spots and change risk.

Core Features & Use Cases

  • Architecture Review: Check how major modules fit together across ingestion, retrieval, MCP, tracing, and evaluation.
  • Knowledge Gap Detection: Surface incomplete understanding, missing assumptions, and unclear implementation details.
  • Risk Assessment: Identify high-risk change areas and recommend targeted tests or validation steps.
  • Use Case: A maintainer preparing a refactor can use this Skill to confirm module boundaries, inspect likely failure points, and plan the safest verification path.

Quick Start

Ask the assistant to review the repository architecture, identify knowledge gaps, and recommend the highest-value validation steps for a specific module.

Frequently Asked Questions about project-knowledge-check

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

FAQPage Schema
How do I assess repository architecture risks before making codebase changes?

To assess implementation risks before codebase changes, analyze module boundaries across ingestion, retrieval, and MCP workflows to detect knowledge gaps and pinpoint high-risk areas requiring targeted validation.

What is a maintainer workflow knowledge check for code refactoring?

A maintainer workflow knowledge check for refactoring validates cross-module reasoning by mapping module boundaries, inspecting likely failure points, and planning the safest verification path to reduce implementation blind spots.

How do I identify knowledge gaps in an MCP server and tracing architecture?

Identify knowledge gaps in MCP server and tracing architectures by reviewing how major modules interconnect, surfacing incomplete understanding and missing assumptions about unclear implementation details during code reading.

Can I use architecture review to find high-risk change areas in a retrieval workflow?

Yes, you can use architecture review to find high-risk change areas in retrieval workflows by applying test-aware validation and prioritized risk reporting to recommend targeted tests for specific modules.

What is the best way to plan validation steps for an ingestion module refactor?

The best way to plan validation steps for an ingestion module refactor is to confirm module boundaries, inspect likely failure points, and prioritize the highest-value tests to verify cross-module reasoning and reduce change risk.

Does this codebase analysis approach work for onboarding reviews of evaluation workflows?

Yes, this codebase analysis approach works for onboarding reviews of evaluation workflows by checking how major modules interconnect and detecting incomplete understanding to ensure accurate cross-module reasoning during maintainer assessments.