SDLC Knowledge Base Linter
Performs deep health checks on project knowledge bases to identify logical contradictions, stale data, and structural gaps.
The SDLC Knowledge Base Linter is a specialized diagnostic tool designed to maintain the integrity of documentation within an AI-first software development lifecycle. By analyzing the relationships between files, it identifies logical drift, surfacing contradictions between technical claims, orphan documents without inbound links, and stale information superseded by newer sources. This skill is essential for teams who treat documentation as a high-quality data source for LLMs, ensuring that the project's knowledge base remains a consistent, reliable, and well-indexed source of truth.
主な機能
01Identifies stale data by comparing citation dates against updated sources
0239 GitHub stars
03Detects logical contradictions and conflicting claims across multiple files
04Enforces metadata compliance for layer and confidence levels with optional auto-fixing
05Highlights missing core concepts and data gaps requiring further research
06Surfaces orphan files and suggests missing cross-references based on content
ユースケース
01Auditing technical knowledge bases for consistency during team onboarding
02Automating documentation quality gates within CI/CD pipelines
03Maintaining documentation accuracy in complex, evolving software architectures