retrospect

Analyze past execution runs to identify failure patterns and process inefficiencies.

2|1|Updated May 3, 2026

Search Tags:#workflow #feedback #optimization #analysis #process improvement #run review

Ready to run

npx skills add https://github.com/a5c-ai/babysitter-omp --skill retrospect-a5c-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: retrospect
Source: https://github.com/a5c-ai/babysitter-omp/tree/main/skills/retrospect
Command: npx skills add https://github.com/a5c-ai/babysitter-omp --skill retrospect-a5c-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users analyze previous execution runs, identify issues, and suggest improvements to optimize future performance.

Core Features & Use Cases

Run Analysis: Review individual or multiple runs to identify success patterns and failures.
Process Review: Examine the steps and tools used during execution to find bottlenecks or inefficiencies.
Improvement Recommendations: Generate actionable suggestions for process optimizations, fixes, and best practices.
Use Case: A developer completes several deployment runs; this Skill evaluates all, highlighting recurrent errors, and offers strategies to streamline deployment workflows.

Quick Start

Invoke retrospect to analyze your latest run and receive suggestions for process improvements.

Frequently Asked Questions about retrospect

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

FAQPage Schema

How do I analyze past execution runs to identify failure patterns?▼

Run analysis evaluates previous execution runs to identify failure patterns and process inefficiencies. It examines the steps and tools used during execution to find bottlenecks, generating actionable recommendations for process optimization.

What is the best way to review workflows and find process bottlenecks?▼

Process review examines the steps and tools used during execution to find bottlenecks or inefficiencies. Analyzing past runs highlights recurrent errors and offers strategies to streamline workflows and optimize results.

How do I get actionable recommendations for process improvement after a deployment?▼

Process improvement recommendations are generated by evaluating completed execution runs. The Skill highlights recurrent errors from past deployments and offers actionable strategies to fix inefficiencies and enhance future outcomes.

Can I use this run review to analyze multiple execution runs at once?▼

Yes, run review supports analyzing individual or multiple execution runs. Reviewing several runs simultaneously helps identify recurrent errors and success patterns across various projects for iterative workflow enhancement.

Does workflow optimization work without integrating additional dependencies?▼

Yes, workflow optimization operates independently without requiring additional dependencies. It analyzes past execution runs directly to identify process inefficiencies and generate improvement opportunities across various projects.

When should I perform a run review for iterative process improvement?▼

Perform a run review after completing execution runs to identify issues and suggest improvements. It is applicable across various projects for iterative review, ensuring comprehensive insights for optimizing future performance.