Create Research

Community

yonatangross

create-research

Documents how the codebase works today for a task's research questions and saves it as a research file (.ork/tasks/TASK/NN-research-SLUG.md) with file:line citations, so the plan builds on a reviewable record. Use before planning a change in unfamiliar code; describes, never proposes.

Overview

Publisher	yonatangross
Repository	`orchestkit`
Skill name	`create-research`
Stars	299
Forks	38
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by yonatangross on GitHub. Read the source before you install it.

Installation

Install the Create Research 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/yonatangross/orchestkit/tree/main/plugins/ork/skills/create-research
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/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/create-research .claude/skills/create-research

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

Use it in TypingMind

Enable Create 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 Create 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 Create 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.

create-research

Answer the task's questions about the code as it is, and save the answer as one research file. It is a map, not a proposal: no recommendations, no fixes, no critique. Layout: the create-plan skill's references/artifact-layout.md.

Steps

Get the questions. From the user, or from a questions file they name. Read any file they mention in full before anything else.
Do not read the task's ticket or plans. Research describes the code; a ticket that wants a change biases it. Earlier research artifacts in the task directory may be read.
Split the questions into areas and research them in parallel with Explore agents (two to six, grouped by area, not one per question). Ask each for file:line evidence.
Check the agents' claims that the document will rest on: open the cited lines yourself. An agent's summary is a claim, not evidence.

Write the body to a scratch file using references/research-template.md, then create the artifact:

bash
node "${CLAUDE_SKILL_DIR}/scripts/artifact.mjs" create \
  --task <task> --kind research --slug <slug> --title "<question>" --author <your seat> --body /tmp/research-body.md
# prints .ork/tasks/<task>/NN-research-<slug>.md

Reply with the path and the open questions, and stop.

Rules

Describe, never prescribe: no "should", no "we could", no diff blocks.
Every finding cites path:line or a line range.
Say when a list is complete and when it is a sample.
Open questions are about what was not traced ("how does X reach Y?"), not about what to build.

/ork:iterate-research revises it from comments. /ork:create-plan reads it next.

Bundled files

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

references/research-template.md1 KB
scripts/artifact.mjs15 KB

Frequently asked questions

What does the Create Research AI skill do?

Why use Create Research on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/create-research. 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 Create 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 Create Research?

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

Is the Create Research AI skill free?

Yes. It is published on GitHub by yonatangross 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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Overview