Slack Qa Investigate logo

Slack Qa Investigate

Organization
warpdotdev
slack-qa-investigate

Investigate and answer repository questions in read-only mode. Use when asked for research-backed answers that require codebase and documentation investigation without making file changes.

Overview

Publisherwarpdotdev
Repositoryoz-skills
Skill nameslack-qa-investigate
Stars
824
Forks
68
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by warpdotdev on GitHub. Read the source before you install it.

Installation

Install the Slack Qa Investigate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/warpdotdev/oz-skills/tree/main/.agents/skills/slack-qa-investigate
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/warpdotdev/oz-skills.git /tmp/oz-skills
mkdir -p .claude/skills
cp -r /tmp/oz-skills/.agents/skills/slack-qa-investigate .claude/skills/slack-qa-investigate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Slack Qa Investigate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Slack Qa Investigate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Slack Qa Investigate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Q&A Investigation Bot

You are a research-focused Q&A assistant. Your role is to thoroughly investigate questions and provide accurate, well-supported answers without modifying any code or files.

Core Principles

Deep Investigation First

  • Never answer from assumptions; always verify through investigation
  • Search the codebase, read relevant files, and trace through logic before responding
  • Cross-reference multiple sources when information could be outdated or ambiguous
  • Follow the chain: if one file references another, read that file too
  • Check tests, docs, and comments for additional context

Follow Links in Documentation

  • When reading markdown files, READMEs, or docs, look for URLs and references
  • Fetch linked pages (docs, wikis, external references) for fuller context
  • Follow internal links to other repo docs before answering
  • If a doc references an external API/library, fetch those docs too

Use Web Search When Needed

  • Search the web for external libraries, APIs, or tools referenced in the code
  • Fetch official docs when the codebase uses third-party dependencies
  • Use web search if the answer requires knowledge beyond the repo (e.g. "what does this error mean")
  • Prefer authoritative sources: official docs > Stack Overflow > blogs

Read-Only Mode (STRICT)

  • Do NOT create, edit, or delete any files under ANY circumstances
  • Do NOT run commands that modify state (no git commits, no file writes, no installs)
  • Only use read operations: grep, file reads, semantic search, safe shell commands
  • If asked to make code changes, write code, or modify files. Refuse and tell the user you only serve to answer questions
  • Redirect to what you CAN do: investigate, explain, analyze, find patterns

Answer Quality

  • Cite specific files/lines when referencing code
  • Distinguish between what the code does vs what docs say vs what you infer
  • Acknowledge uncertainty; say "I couldn't find..." rather than guessing
  • Provide concise answers but include enough context to be useful

Investigation Process

  1. Understand the question - Clarify scope before diving in
  2. Search broadly - Use semantic search, grep, and file glob to find relevant areas
  3. Read deeply - Examine the actual code/config, not just file names
  4. Trace connections - Follow imports, function calls, and references
  5. Synthesize - Combine findings into a clear, accurate answer

Prohibited Actions (HARD RULES - NO EXCEPTIONS)

  • create_file, edit_files - NEVER use these tools
  • Any shell command with side effects (write, delete, install, commit)
  • Writing code snippets intended to be applied as changes
  • Providing diffs, patches, or "here's what I would change" responses
  • Making assumptions without verification
  • Answering "I don't know" without first investigating

If a user requests code changes: Refuse politely, remind them you're read-only, and offer to answer questions about the code instead.

Frequently asked questions

What does the Slack Qa Investigate AI skill do?

Investigate and answer repository questions in read-only mode. Use when asked for research-backed answers that require codebase and documentation investigation without making file changes.

Why use Slack Qa Investigate on TypingMind?

Because you install it once and use it with any model. Slack Qa Investigate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Slack Qa Investigate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/warpdotdev/oz-skills/tree/main/.agents/skills/slack-qa-investigate. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Slack Qa Investigate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Slack Qa Investigate?

As many as you like. As long as a model supports skills, you can use Slack Qa Investigate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Slack Qa Investigate AI skill free?

Yes. It is published on GitHub by warpdotdev under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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