fix-last-task

Audit the latest completed AI task and apply corrective fixes.

9|2|Updated Jan 9, 2026
One-click install
npx skills add https://github.com/dmitryprg-ai/cursor-develop-autorules --skill fix-last-task
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fix-last-task
Source: https://github.com/dmitryprg-ai/cursor-develop-autorules/tree/main/.cursor/skills/fix-last-task
Command: npx skills add https://github.com/dmitryprg-ai/cursor-develop-autorules --skill fix-last-task

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps you audit the final AI task, identify missed issues, and apply corrective actions to restore quality.

Core Features & Use Cases

  • Failure analysis: Restore the original request and compare outcomes.
  • Root cause analysis: Use 5 Whys to identify underlying issues.
  • End-to-end fixes: Plan, implement, cross-check, and document improvements.

Quick Start

Run the Fix Last Task workflow on the latest completed task to identify issues and apply fixes.

Frequently Asked Questions about fix-last-task

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

FAQPage Schema
How do I fix issues in an AI task that reported high confidence but produced flawed results?

Root cause analysis uses the 5 Whys technique to identify underlying issues in a completed task. It helps you systematically ask why a problem occurred to move past symptoms and find the fundamental flaw in the AI workflow.

What is root cause analysis for debugging AI task failures?

Root cause analysis uses the 5 Whys technique to identify underlying issues in a completed task. It helps you systematically ask why a problem occurred to move past symptoms and find the fundamental flaw in the AI workflow.

How do I debug errors found after a task completion session?

Yes, this skill can restore the original request to compare it against the final outcomes. By comparing the actual results with the initial request, you can identify discrepancies and apply corrective actions to restore quality.

Can I use task review to restore the original request and compare outcomes?

Yes, this skill can restore the original request to compare it against the final outcomes. By comparing the actual results with the initial request, you can identify discrepancies and apply corrective actions to restore quality.

What is the best way to analyze missed problems in a completed AI task?

The best way to analyze missed problems is running a session-review workflow that coordinates analysis, planning, fixing, and cross-checking. It identifies overlooked issues and applies end-to-end fixes to restore quality.

Do I need change-logging templates to perform a session review?

Yes, change-logging templates are required to coordinate the analysis, planning, fixing, and cross-checking steps. They provide the necessary structure to document improvements and track corrective actions accurately.