analytics-flow

Automate analytics workflows for SDD project data to identify bottlenecks and generate reports.

16|3|Updated Nov 10, 2025
One-click install
npx skills add https://github.com/vladm3105/aidoc-flow-framework --skill analytics-flow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analytics-flow
Source: https://github.com/vladm3105/aidoc-flow-framework/tree/main/.claude/skills/analytics-flow
Command: npx skills add https://github.com/vladm3105/aidoc-flow-framework --skill analytics-flow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, matplotlib/plotly, jinja2, pyyaml.

What problem does it solve?

This Skill provides critical visibility into project health, documentation quality, requirement coverage, and development velocity, enabling data-driven decisions to identify bottlenecks and optimize workflows.

Core Features & Use Cases

  • Documentation & Requirement Coverage: Track documentation completeness, identify outdated documents, and ensure all requirements are fully covered and linked.
  • Traceability Analysis: Automatically detect broken links and gaps in the traceability chain from high-level business requirements to implemented code.
  • Velocity & Progress Tracking: Monitor implementation progress, task completion rates, and identify development trends over time to forecast project completion.
  • Use Case: Generate a real-time project dashboard to quickly identify if documentation is lagging, specific requirements are stuck, or development velocity is declining, allowing for proactive intervention and resource reallocation.

Quick Start

Use the analytics-flow skill to generate a project dashboard and save it to 'reports/dashboard.html'.

Frequently Asked Questions about analytics-flow

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

FAQPage Schema
How do I track project documentation coverage and requirement traceability?

Documentation coverage and requirement traceability analysis automate detection of incomplete documentation, outdated files, and broken links between high-level requirements and implemented code. This Skill identifies gaps in the traceability chain and ensures all requirements are fully covered and linked.

Can I generate automated reports and dashboards from project data?

Yes. This Skill generates real-time project dashboards, KPI reports, and traceability diagrams using Mermaid visualization. It extracts metrics, calculates trends, detects anomalies, and exports dashboards as HTML for quick visibility into project health.

How do I measure development velocity and identify bottlenecks?

Velocity and progress tracking monitor task completion rates, implementation trends, and development speed over time. The Skill identifies bottlenecks, forecasts project completion, and enables proactive resource reallocation based on data-driven insights.

What data sources and formats does this Skill work with?

This Skill processes project data derived from SDD artifacts using pandas for data extraction and transformation. It works with structured project data to calculate metrics, analyze trends, and generate reports with Jinja2 templates and YAML configuration.

Can I customize reports and KPI dashboards for my project?

Yes. The Skill supports custom report generation with configurable metrics, KPI definitions, and dashboard layouts. Use YAML configuration to define custom analysis parameters and Jinja2 templating to format reports and visualizations.

What insights can I extract from traceability and quality metrics?

Traceability analysis and quality metrics reveal documentation completeness, requirement coverage status, implementation progress, and quality trends. The Skill detects anomalies and provides actionable insights to optimize workflows and prevent project delays.