debrief

Mines conversation history to reconstruct context and present actionable next steps.

1|1|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/corygabrielsen/skills --skill debrief-corygabrielsen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debrief
Source: https://github.com/corygabrielsen/skills/tree/main/debrief
Command: npx skills add https://github.com/corygabrielsen/skills --skill debrief-corygabrielsen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Debrief Mode tackles the cognitive load of returning to an ongoing conversation by mining the prior dialogue and presenting a concise status with clear, actionable next steps.

Core Features & Use Cases

  • Status extraction: Pulls completed work, in-progress items, blockers, decisions, and open questions from the chat.
  • Structured presentation: Synthesizes findings into a scannable table and bullet list for quick review.
  • Interactive next steps: Presents a menu of next actions and uses AskUserQuestion to capture the chosen path.

Quick Start

Enter debrief mode on this conversation to mine context, synthesize status, and present next-step options. Use the AskUserQuestion flow to select one of the suggested actions.

Frequently Asked Questions about debrief

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

FAQPage Schema
How do I get a quick status summary when I return to a long chat conversation?

To get a status summary of a long chat conversation, you can use a debrief tool to mine the prior dialogue and extract completed work, in-progress items, and blockers. It synthesizes findings into a scannable table for quick review.

How do I extract open questions and decisions from an ongoing dialogue?

To extract open questions and decisions from an ongoing dialogue, apply a context-mining process that scans the chat history. This reconstructs the conversation context and surfaces actionable items into a structured bullet list.

Can I use conversation mining to reduce cognitive load after taking a break?

Yes, you can use conversation mining to reduce cognitive load after a break by reconstructing the session context. It presents a concise status overview with clear choices, replacing the need to manually scroll through history.

What is the best way to rebuild context and surface next steps in a chat?

The best way to rebuild context and surface next steps is to mine the conversation for prior work and present a structured status. This approach leverages frontmatter for discovery and uses interactive prompts to select among recommended actions.

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