panout-debrief

Synthesize cooking session logs and feedback into knowledge base updates.

4|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/alexeyv/pan-out --skill panout-debrief
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: panout-debrief
Source: https://github.com/alexeyv/pan-out/tree/main/skills/panout-debrief
Command: npx skills add https://github.com/alexeyv/pan-out --skill panout-debrief

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of fragmented cooking knowledge by capturing lessons, technique adjustments, and equipment quirks immediately after a cooking session, ensuring future cooks are more successful.

Core Features & Use Cases

  • Retrospective Facilitation: Conducts a structured, conversational interview to capture subjective cooking experiences and sensory observations.
  • Knowledge Base Integration: Automatically updates protocol files, memory logs, and cook profiles based on session data and user feedback.
  • Science-Backed Validation: Cross-references proposed protocol changes against established science files to ensure safety and physical feasibility.

Quick Start

Invoke the panout-debrief skill after finishing a cooking session to review your session logs and capture new lessons for your knowledge base.

Frequently Asked Questions about panout-debrief

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

FAQPage Schema
How do I conduct a cooking retrospective to capture lessons after a session?

A cooking retrospective captures subjective experiences and sensory observations through a structured interview after cooking. It synthesizes session logs and user feedback into actionable updates for your knowledge base, ensuring future cooks are more successful.

What is post-cook knowledge management and how does it improve my recipes?

Post-cook knowledge management documents technique adjustments and equipment quirks immediately after cooking. By updating protocol files and memory logs with session data, it refines techniques and calibrates equipment for subsequent cooks.

Can I use session logs and state files to update my cooking protocol automatically?

Yes, session logs and state files are synthesized with user feedback to automatically update protocol files and cook profiles. This integration ensures procedural improvements are documented directly within your cooking protocol lifecycle.

Does this retrospective process validate technique adjustments against established science?

Yes, proposed protocol changes are cross-referenced against established science files. This science-backed validation ensures that any documented technique adjustments or equipment calibrations remain physically feasible and safe.

Do I need reference materials and protocol definitions to close the learning loop after cooking?

Yes, closing the learning loop requires access to session state files, protocol definitions, and science-based reference materials. These inputs ensure accurate procedural improvements and safe technique refinements are documented.

What is the best way to document flavor preferences and equipment quirks from a cooking session?

The best way to document flavor preferences and equipment quirks is through a structured conversational interview. It captures subjective sensory observations and automatically integrates them into cook profiles and memory logs.