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Who Is This

CommunityPopular
davidondrej
who-is-this

Research a person's public track record and give a short credibility assessment. Use only when the user explicitly invokes /who-is-this.

Overview

Publisherdavidondrej
Repositoryskills
Skill namewho-is-this
Stars
4.1K
Forks
599
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Who Is This 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.
  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/davidondrej/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/research-and-web/who-is-this .claude/skills/who-is-this
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Who Is This 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 Who Is This 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 Who Is This 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.

who-is-this

Read the deepapi skill first. All search and scraping goes through DeepAPI. Never use built-in search, fetch, or a browser.

Seed

Accept a name, handle, URL, or profile screenshot. If missing, ask once; never guess a person.

Verify matching bio, company, location, and photo before deeper research. If identity is ambiguous, stop and ask.

Research

Find their X, LinkedIn, and GitHub first (dedicated endpoints, not site: search). Then run these in parallel:

  1. GitHub activity. POST /v1/scrape/github/profile with includeRepos: true, plus recent PRs (POST /v1/scrape/github/search, type: "pulls", query: "author:<username>", sort: "updated").
  2. Last 10 LinkedIn posts. POST /v1/scrape/linkedin/posts, maxItems: 10. Also scrape the LinkedIn profile if you have the slug.
  3. Deep research. POST /v1/research/deep on who they are, what they have actually done, and whether the public story holds.
  4. 50 newest X posts. POST /v1/scrape/twitter/search with the handle, sort: "latest", maxItems: 50. Also pull POST /v1/scrape/twitter/user.

Follow DeepAPI polling. If a platform is missing or private, say so. Do not invent a profile.

What to extract

Keep only the 3 facts that best explain who the person is; omit the rest.

  • Real track record beats bio. Jobs, products, exits, code, talks.
  • Self-reported numbers stay labeled "their claim". Verified numbers say "verified".
  • Include posting topics only if they change the verdict.
  • Choose the archetype their track record supports: builder, marketer, operator, researcher, grifter, investor, recruiter, hobbyist, etc.

Ignore congrats, logo spam, paid "king of X" press, and follower-count flexing.

Output

Maximum 100 words after the header. Use short, plain-English sentences. No tables, sub-bullets, tweet dumps, or research narration.

markdown
**Full name**[@handle](https://x.com/handle) · [LinkedIn](url) · [GitHub](url) · [Site](url)

**Who:** One sentence. Where they are and what they do now.

**Track record:** Max 3 bullets. Only what explains who they are. Dates. Label claims vs verified.

**Verdict:** One line. The archetype, whether the story holds, and why.

Fictional example:

markdown
**Jane Doe**[@janedoe](https://x.com/janedoe) · [LinkedIn](https://linkedin.com/in/janedoe) · [GitHub](https://github.com/janedoe)

**Who:** Berlin solo founder of Acme, an open-source Postgres proxy.

**Track record:**
- 2024–now: Acme founder. 2.1K stars (verified); no revenue (her claim).
- 2019–2024: Backend engineer at Zalando and N26.
- Claims "50K users"; unverified.

**Verdict:** Solo builder with real code; user numbers remain unverified.

Omit a missing profile link instead of faking it.

Follow-ups: 1–3 sentences. Re-scrape only if the first pass missed that platform.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Who Is This AI skill do?

Research a person's public track record and give a short credibility assessment. Use only when the user explicitly invokes /who-is-this.

Why use Who Is This on TypingMind?

Because you install it once and use it with any model. Who Is This 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 Who Is This in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davidondrej/skills/tree/main/skills/research-and-web/who-is-this. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Who Is This?

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 Who Is This?

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

Is the Who Is This AI skill free?

Yes. It is published on GitHub by davidondrej 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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