conversation-explaining

Generate concise structured explanations of conversations, features, or codebase areas.

Updated Mar 28, 2026

Search Tags:#codebase #communication #conversation #structured output #summarize #explain #tldr

Ready to run

npx skills add https://github.com/dsonyy/dotfiles --skill conversation-explaining-dsonyy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: conversation-explaining
Source: https://github.com/dsonyy/dotfiles/tree/main/skills/conversation-explaining
Command: npx skills add https://github.com/dsonyy/dotfiles --skill conversation-explaining-dsonyy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When conversations, features, or codebases grow complex, it becomes hard to quickly communicate what is actually happening. This Skill produces a tight, structured explanation so anyone can grasp the current state without wading through details. ## Core Features & Use Cases - Structured Output: Always delivers a one-sentence TL;DR followed by a flat numbered list of standalone facts. - User-Perspective Framing: Describes what users see, trigger, and change rather than translating code line by line. - Data-Flow Focus: Explains what goes in, what gets transformed, and what comes out, ordered cause before effect. - Use Case: After a long debugging session, ask for an explanation of the current state and receive a crisp summary you can paste into a status update or handoff note. ## Quick Start Ask the assistant to explain the current state of this conversation or feature using the conversation-explaining format.

Frequently Asked Questions about conversation-explaining

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

FAQPage Schema

How do I get a concise summary of a long conversation?▼

Ask for an explanation of the current conversation state. The output is a one-sentence TL;DR followed by a numbered list of standalone facts, with no filler or closing summary.

How to explain a codebase feature without code-level detail?▼

Request an explanation of the feature and it will be described from the user's perspective: what they see, what they trigger, and what changes. File paths and function names are omitted unless explicitly requested.

What output format does the explanation follow?▼

The format is fixed: one TL;DR sentence, then a numbered list where each point is a single standalone fact. There is no nesting, no sub-bullets, and no closing summary.

When should I not use this explanation format?▼

Avoid it when you need code-level detail such as file paths, function names, or line-by-line walkthroughs. The format deliberately abstracts implementation unless you explicitly ask for technical specifics.

Can I use this for status updates and handoff notes?▼

Yes, the structured TL;DR plus numbered facts format is designed for handoffs and status updates. Each point is independently useful, so readers can scan without reading the full context.