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wfc-retro

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Optimize workflows with AI retrospectives.

Software Engineering#retrospective#continuous improvement#telemetry#ai analysis#workflow optimization#team performance
Authorsam-fakhreddine
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the analysis of WFC telemetry data to identify workflow bottlenecks, performance trends, and areas for continuous improvement, transforming raw data into actionable insights for team retrospectives.

Core Features & Use Cases

  • Telemetry Analysis: Aggregates and analyzes WFC telemetry logs (wfc-*.WNN.jsonl).
  • Bottleneck Detection: Identifies slow or failing tasks and common failure modes.
  • Performance Trends: Analyzes patterns in agent performance, review quality, and task completion times.
  • Values Alignment: Tracks adherence to TEAMCHARTER values using Say:Do ratios and specific value impact.
  • Recommendation Generation: Provides concrete, actionable recommendations for workflow optimization.
  • Use Case: After a sprint, use this Skill to generate a comprehensive retrospective report that highlights what went well, what didn't, and provides data-backed suggestions for the next sprint.

Quick Start

Run a retrospective analysis for the last 7 days using the /wfc-retro command.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 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: wfc-retro
Download link: https://github.com/sam-fakhreddine/wfc/archive/main.zip#wfc-retro

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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