debrief

Automate post-task memory analysis and update operational-context.md proposals.

1|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/jackson2787/torque-coding --skill debrief-jackson2787
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debrief
Source: https://github.com/jackson2787/torque-coding/tree/main/skills/state-machine/debrief
Command: npx skills add https://github.com/jackson2787/torque-coding --skill debrief-jackson2787

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Debriefing automates the rigorous post-task memory analysis and learning capture to ensure durable developer-facing records and responsible governance.

Core Features & Use Cases

  • Applies after every task or on-demand for ad-hoc reviews, enforcing the five-gate rubric, archiving task history, and surfacing actionable learnings.
  • Generates proposed changes to operational-context.md when learning qualifies, writes rationale as needed, and routes to human reviewers.
  • Manages cap checks, archives task artifacts, and outputs human-side documentation (update logs, decisions, and consumer guides) when appropriate.

Quick Start

Run /debrief after completing a task to generate a structured memory debrief and update operational context.

Frequently Asked Questions about debrief

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

FAQPage Schema
How do I automate post-task memory analysis and learning capture?

You can automate post-task memory analysis by running a structured debrief that enforces a five-gate rubric, performs cap checks, and generates durable developer-facing logs. This process captures actionable learnings and creates proposals to update your operational context.

What is a five-gate rubric for task review and governance?

A five-gate rubric for task review is a structured validation framework applied during a debrief to enforce operational governance. It evaluates completed tasks to determine if learnings qualify to update operational context and routes rationale to human reviewers.

How do I update operational-context.md with new task learnings?

To update operational context, the debriefing process evaluates task artifacts against a five-gate rubric. When learnings qualify, it generates proposed changes and rationale, routing them to human reviewers before archiving task history and writing human-side logs.

Do I need specific artifacts to run a post-task debrief?

Yes, running a post-task debrief requires artifacts from your current task, operational context, and constitution. These inputs allow the process to perform cap checks, enforce the five-gate rubric, and produce updated governance documentation.

When should I run an ad-hoc task review instead of automated memory analysis?

You should run an ad-hoc task review when you need to evaluate specific operational context outside of regular task completion. The debriefing process supports on-demand reviews, enforcing the five-gate rubric and generating human-facing documentation like update logs and consumer guides.