chat

Answer user questions with cited external web sources and structured reasoning.

8|Updated Nov 4, 2016
One-click install
npx skills add https://github.com/coil398/dotfiles --skill chat-coil398
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chat
Source: https://github.com/coil398/dotfiles/tree/main/.claude/skills/chat
Command: npx skills add https://github.com/coil398/dotfiles --skill chat-coil398

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill ensures conversations do not rely on stale or generic responses by requiring external validation and structured, sourced insights for user questions.

Core Features & Use Cases

  • Explicitly avoid generic responses; verify with external sources (WebFetch/WebSearch/Context7) for each answer.
  • Provide structured, citation-rich explanations that reference primary sources and official docs.
  • Support context-rich inquiries and multi-source reasoning, with clear fallback when sources are unavailable.

Quick Start

Use /chat <your question> to enter the deep-dive, sourced response mode

Frequently Asked Questions about chat

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

FAQPage Schema
How do I get verified answers with citations instead of generic AI responses?

You get verified answers by using a chat mode that fetches live web sources instead of relying on training data. This skill uses WebFetch and WebSearch to validate information and append explicit citations to each structured response.

What is the best way to ensure my AI chat provides source-backed context for current information?

The best way to ensure source-backed context is to use a skill that queries external sources like Context7. This approach forces the chat to consult live documentation and web pages, delivering structured reasoning with clear fallback when sources are unavailable.

How do I use web search and fetch tools to generate structured output for complex inquiries?

You use web search and fetch tools by invoking a deep-dive chat mode that requires external validation. The skill processes multi-source reasoning and formats the fetched data into a structured output with references to primary sources and official docs.

Does this sourced chat approach work when external web sources are unavailable?

Yes, this sourced chat approach includes a clear fallback mechanism when external web sources are unavailable. It attempts to verify with WebFetch, WebSearch, and Context7, but will explicitly indicate if it cannot retrieve the necessary sources.

Why does my chat return stale information and how can I avoid it?

Your chat returns stale information when it relies solely on internal training data. You can avoid this by using a skill that requires external validation, ensuring your answers are deeply verified with live web sources and explicit citations.