Researcher

Community

timscheuerai

researcher

Research a content or GTM question using primary evidence and return a source-backed brief with implications and open questions.

Overview

Publisher	timscheuerai
Repository	`linkedin-funnel`
Skill name	`researcher`
Stars	60
Forks	20
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 timscheuerai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/timscheuerai/linkedin-funnel/tree/main/skills/researcher
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.

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/timscheuerai/linkedin-funnel.git /tmp/linkedin-funnel
mkdir -p .claude/skills
cp -r /tmp/linkedin-funnel/skills/researcher .claude/skills/researcher

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Researcher 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 Researcher 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 Researcher 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.

Build an evidence brief

Define the question, audience, time window and decision it should inform. Read existing local context first. A proposed topic or a source's marketing claim is not a fact about the author.

Search the available local sources and current primary sources. For product mechanics use official documentation; for a company's claim use its direct publication and independent corroboration when relevant. Record publication and observation dates. Do not equate an old snapshot with current behavior.

Keep an evidence table: claim, source URL/path, short supporting excerpt or paraphrase, date, confidence/limitation and use in the brief. Read the full relevant section. Separate evidence, inference, conflicting accounts and unanswered questions.

Look for operational detail: actual workflow, inputs, constraints, failure modes and measurable outcomes. Avoid lists of headlines without assessing what they support.

Deliver the answer, strongest evidence, implications for the specified reader and remaining gaps. Include direct source links. Store durable author facts through capture-context; outside research must not silently become the author's personal experience.

Frequently asked questions

What does the Researcher AI skill do?

Research a content or GTM question using primary evidence and return a source-backed brief with implications and open questions.

Why use Researcher on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/timscheuerai/linkedin-funnel/tree/main/skills/researcher. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Researcher?

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 Researcher?

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

Is the Researcher AI skill free?

Yes. It is published on GitHub by timscheuerai 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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Agent Transcript

openclaw

OrganizationPopular

Requested GitHub PR/issue agent transcripts: redact, trim, preview, and insert safely.

Auto Qa

Run OpenClaw-wide autonomous QA and live/stress campaigns across independent subsystem lanes, with verified fixes and a resumable evidence report.

Autoreview

Structured code review when explicitly requested, preferring OpenAI/Codex before Claude.

Channel Message Flows

openclaw

OrganizationPopular

Use when running QA Lab channel message flow evidence.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Build an evidence brief

Frequently asked questions

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