reflect

Automates structured retrospective analysis for sessions and repos.

2|Updated Oct 2, 2025
One-click install
npx skills add https://github.com/misty-step/volume --skill reflect-misty-step
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/misty-step/volume/tree/main/.agents/skills/reflect
Command: npx skills add https://github.com/misty-step/volume --skill reflect-misty-step

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Structured reflection that improves both the harness and the operator by turning postmortems into actionable improvements.

Core Features & Use Cases

  • Distill end-of-session learnings into codified artifacts and coaching notes
  • Calibrate harness behavior mid-cycle to fix issues before continuing
  • Coach the human operator on prompt quality, strategies, and vocabulary
  • Tune-repo with context refreshes and drift detection
  • Cycle analysis for outer-loop insights and backlog guidance

Quick Start

Invoke /reflect distill after a session to extract actionable learnings

Frequently Asked Questions about reflect

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

FAQPage Schema
How do I automate postmortem analysis after a development cycle?

Automate postmortem analysis by running structured retrospective routing modes like distill to extract learnings or calibrate to fix mid-cycle issues. This turns end-of-session reflections into codified artifacts and coaching notes for future improvement.

What is the best way to coach operators on prompt quality and strategies?

Coach operators on prompt quality by applying the retrospective coach routing mode during cycle reviews. This analyzes session history to generate actionable coaching moments targeting vocabulary and strategy improvements for the human operator.

Can I detect context drift and refresh repository tuning mid-cycle?

You can detect context drift and refresh repository tuning using the tune-repo routing mode. It applies context refreshes and drift detection across sessions and repos to calibrate harness behavior before continuing the cycle.

How do I distill end-of-session learnings into actionable artifacts?

Distill end-of-session learnings into actionable artifacts by invoking the retrospective distill mode. It extracts postmortem insights and codifies them into Markdown reference documents and coaching notes for backlog guidance.

Does structured retrospective analysis support mutating backlogs and branches?

Structured retrospective analysis supports mutating backlogs and branches per cycle rules. The cycle routing mode provides outer-loop insights and applies mutations to backlog items and branches based on the retrospective findings.