workflow-optimization

Analyze Claude Code telemetry data to identify workflow inefficiencies and errors.

Updated Feb 25, 2026

Search Tags:#workflow #productivity #optimization #claude code #efficiency #telemetry

Ready to run

npx skills add https://github.com/LayerDynamics/Lore --skill workflow-optimization-layerdynamics

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: workflow-optimization
Source: https://github.com/LayerDynamics/Lore/tree/main/lore/extensions/cc-telemetry/skills/workflow-optimization
Command: npx skills add https://github.com/LayerDynamics/Lore --skill workflow-optimization-layerdynamics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users improve their efficiency and effectiveness when using Claude Code by identifying and rectifying workflow inefficiencies, reducing errors, and speeding up task completion.

Core Features & Use Cases

Usage Analysis: Analyzes telemetry data (stats, sessions, errors, performance) to pinpoint bottlenecks.
Inefficiency Identification: Detects performance issues, redundant operations, and suboptimal tool usage.
Error Pattern Recognition: Identifies recurring mistakes and workflow issues that lead to errors.
Recommendation Generation: Provides prioritized, actionable advice with examples for improving workflows.
Use Case: A user feels they are working too slowly. This skill analyzes their session data, finds they repeatedly re-read the same files and make many small edits instead of batching them, and provides specific instructions on how to consolidate these actions to save time.

Quick Start

Help me optimize my Claude Code workflow by analyzing my recent usage patterns.

Frequently Asked Questions about workflow-optimization

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

FAQPage Schema

How do I identify workflow bottlenecks using Claude Code telemetry data?▼

Workflow bottlenecks are identified by analyzing telemetry data such as session stats and error patterns to pinpoint redundant operations and suboptimal tool usage. This process highlights specific inefficiencies like repeatedly reading files or making small unbatched edits.

What is the best way to reduce recurring errors in my Claude Code sessions?▼

The best way to reduce recurring errors is through error pattern recognition, which analyzes telemetry data to identify repeated mistakes and workflow issues. It then generates prioritized, actionable recommendations with examples to correct those specific workflow flaws.

How can I analyze my Claude Code usage patterns to improve productivity?▼

You can analyze usage patterns by examining telemetry data including performance stats and session histories. This analysis detects underutilized features and performance issues, providing actionable advice to improve speed and enhance overall coding productivity.

Do I need specific telemetry commands to optimize my Claude Code workflow?▼

Yes, optimizing a Claude Code workflow requires access to telemetry commands for data gathering. The optimization process depends on this telemetry data to identify inefficiencies and generate structured reporting with actionable insights.

Why does my Claude Code workflow feel slow even when completing simple tasks?▼

Your workflow may feel slow due to redundant operations or suboptimal tool usage, such as making many small edits instead of batching them. Telemetry analysis identifies these specific inefficiencies and provides instructions to consolidate actions and save time.