tracking-gaps
OfficialEmbedded data-gap tracking inside AI workflows
Authorai-analyst-lab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Identifies missing data and generates instrumentation requests within AI analysis workflows, reducing blind spots and data-quality risk. The functionality is embedded within ask-question and run-analysis, so it should not be invoked as a standalone skill.
Core Features & Use Cases
- Embedded data-gap detection during analysis runs that flags missing data and suggests instrumentation needs.
- Automatic generation of concrete instrumentation requests to guide data collection, validation, and traceability.
- Use Case: While validating a hypothesis, the system surfaces where data is incomplete and proposes the exact metrics and collection steps to fill the gaps.
Quick Start
Execute an ask-question or run-analysis task and rely on the embedded tracking guidance to surface data gaps.
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: tracking-gaps Download link: https://github.com/ai-analyst-lab/ai-analyst-plugin/archive/main.zip#tracking-gaps Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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