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Research

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andrew-shwetzer
research

Research a company before applying or interviewing. Get an intelligence brief with culture, financials, recent news, team structure, key contacts, and smart interview questions. Use when someone says 'research this company', 'tell me about', 'what do you know about', or 'prep me for my interview at'.

Overview

Publisherandrew-shwetzer
Repositorycareer-ops-plugin-do-not-fork-currently-updating-v2-
Skill nameresearch
Stars
503
Forks
105
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 andrew-shwetzer on GitHub. Read the source before you install it.

Installation

Install the Research 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/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tree/main/skills/research
  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/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-.git /tmp/career-ops-plugin-do-not-fork-currently-updating-v2-
mkdir -p .claude/skills
cp -r /tmp/career-ops-plugin-do-not-fork-currently-updating-v2-/skills/research .claude/skills/research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Research 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 Research 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 Research 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.

Company Research

Build an intelligence brief on a target company.

Step 1: Gather Data

Use WebSearch to find:

  1. Company basics: What they do, size, founded, HQ, funding/revenue
  2. Recent news (last 6 months): Product launches, layoffs, acquisitions, leadership changes, funding rounds
  3. Culture signals: Glassdoor rating + recurring themes, any "best places to work" lists or notable controversies
  4. Team/department: Who leads the department you'd join? Likely hiring manager? Team size?
  5. Tech/tools/methodology: What does this team use? (Check job postings, tech blog, team member LinkedIn profiles via web search)

If WebSearch is unavailable:

"I can share what I know about {company}, but for the latest info (recent news, Glassdoor reviews, team changes), enable web search in your settings. Here's what I can tell you from general knowledge:"

Then provide what you know, clearly labeled as potentially outdated.

Step 2: Find Contacts

Search for likely hiring contacts:

  • Hiring manager (head of the relevant department)
  • Recruiter (search "{company} recruiter {department}")
  • Team members (potential peers for informational outreach)

For each contact found: Name, Title, and where you found them.

Note: Do NOT scrape LinkedIn profiles directly. Use web search results and public company pages only.

Step 3: Check for Existing Evaluation

Read data/evaluations/ for any evaluation at this company. If found, reference it to add context to the brief.

Step 4: Output

## Company Brief: {Company Name}

### Overview
| Field | Detail |
|---|---|
| **Industry** | {industry} |
| **Size** | {employee count range} |
| **Founded** | {year} |
| **HQ** | {location} |
| **Revenue/Funding** | {if available} |
| **Website** | {URL} |

### Recent News (Last 6 Months)
- {headline} ({source}, {date})
- ...
(If no news found: "No major recent news found.")

### Culture Snapshot
**Glassdoor:** {rating}/5 ({review count} reviews)
**Positive themes:** {what employees like}
**Negative themes:** {common complaints}
**Work style:** {remote/hybrid/in-office, hours culture}

### Key Contacts
| Name | Title | Source |
|---|---|---|
| {name} | {title} | {where found} |

### Interview Intelligence
- **Company values/mission:** {what they emphasize}
- **Current priorities:** {what they're working on now}
- **Smart questions to ask:**
  1. {question based on recent news or strategy}
  2. {question about team/culture}
  3. {question about role's impact}
- **Topics to handle carefully:** {any sensitive items}

Step 5: Save

Write to data/research/{company-slug}.md.

"Research saved. You can reference it anytime.

Want me to:

  • Draft outreach to one of these contacts?
  • Evaluate a role at this company? Paste the job posting.
  • Prepare interview stories specific to this company?"

Frequently asked questions

What does the Research AI skill do?

Research a company before applying or interviewing. Get an intelligence brief with culture, financials, recent news, team structure, key contacts, and smart interview questions. Use when someone says 'research this company', 'tell me about', 'what do you know about', or 'prep me for my interview at'.

Why use Research on TypingMind?

Because you install it once and use it with any model. Research 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 Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tree/main/skills/research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Research?

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 Research?

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

Is the Research AI skill free?

Yes. It is published on GitHub by andrew-shwetzer 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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