slack-qa-investigate

Name: slack-qa-investigate
Availability: InStock
Author: Warp

Investigate repository questions by reading files and following documentation links.

820|64|Updated Jan 27, 2026

Search Tags:#documentation #research #codebase #qa #investigate #read-only

Ready to run

npx skills add https://github.com/warpdotdev/oz-skills --skill slack-qa-investigate

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: slack-qa-investigate
Source: https://github.com/warpdotdev/oz-skills/tree/main/.agents/skills/slack-qa-investigate
Command: npx skills add https://github.com/warpdotdev/oz-skills --skill slack-qa-investigate

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill empowers AI agents to thoroughly investigate and answer questions about a codebase or documentation, ensuring accuracy and providing context-rich responses without making any modifications.

Core Features & Use Cases

Deep Codebase Investigation: Reads files, traces logic, and follows references within the repository.
Documentation Analysis: Follows links in markdown, READMEs, and other documentation to gather comprehensive information.
External Resource Fetching: Uses web search for external libraries, APIs, or to clarify ambiguous information.
Strict Read-Only Enforcement: Prevents any file modifications or state-altering commands.
Use Case: When asked "How is user authentication handled in this project?", the agent will meticulously examine relevant code files, configuration, and documentation to provide a detailed, accurate explanation.

Quick Start

Use the slack-qa-investigate skill to research how the user authentication flow is implemented in the current repository.

Frequently Asked Questions about slack-qa-investigate

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

FAQPage Schema

How do I investigate how a specific feature is implemented in a codebase without modifying files?▼

To investigate a codebase without modifying files, you need a read-only research approach that traces logic across files and follows documentation links. This method analyzes references and uses web search for external context to provide verified answers.

Can I use an AI agent to research and answer questions about my repository documentation?▼

Yes, an AI agent can research repository documentation by following links in markdown and READMEs to gather comprehensive information. It reads files and traces references to answer questions accurately without altering any file states.

What is the best way to trace logic across a codebase and external APIs safely?▼

The best way to trace logic safely is using a read-only investigation mode that reads files and references within the repository. It follows links in documentation and uses web search to fetch external API context, ensuring no file modifications occur.

Does this codebase investigation method support fetching external resources for ambiguous information?▼

Yes, this codebase investigation method supports fetching external resources. When information is ambiguous, it uses web search to clarify external libraries and APIs, ensuring the final answer is accurate and properly cited.

When do I need a read-only investigation approach for my repository questions?▼

You need a read-only investigation approach when you want to thoroughly understand how repository features work without risking unintended file changes. It is ideal for deep codebase analysis, tracing logic, and verifying documentation accuracy.

What are the limitations of using AI to investigate repository questions?▼

The primary limitation of this AI investigation approach is its strict read-only enforcement, meaning it cannot execute state-altering commands or modify files. It is designed solely for analysis, research, and providing cited answers.