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Research Handoff

CommunityPopular
xuzhougeng
research-handoff

Prepare a traceable research handoff when a user asks to transfer an existing project using supplied notes and files; do not use for new literature searches or new analysis.

Overview

Publisherxuzhougeng
Repositorywisp-science
Skill nameresearch-handoff
Stars
1K
Forks
104
Bundled files
1
LicenseAGPL-3.0-only
Links
Skill sourceRepositoryHomepage
  • 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 xuzhougeng on GitHub. Read the source before you install it.

Installation

Install the Research Handoff 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/xuzhougeng/wisp-science/tree/main/community-skills/examples/research-handoff
  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/xuzhougeng/wisp-science.git /tmp/wisp-science
mkdir -p .claude/skills
cp -r /tmp/wisp-science/community-skills/examples/research-handoff .claude/skills/research-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Research Handoff 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 Handoff 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 Handoff 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.

Research handoff

Responsible for

Organize existing observations, decisions, source paths, and unresolved questions. Use this Skill when the user asks to hand over an existing research project. Do not invent experiments, citations, computed results, or missing decisions.

Inputs and dependencies

Require a handoff request and user-supplied notes or project files. If absent, ask for the missing inputs and pause dependent work. A text-capable model is sufficient. Use Wisp's read tool only if local input files need reading. No MCP, network, Python, R, or OS-specific runtime is required.

Procedure

Read the handoff template relative to this Skill package directory. Identify the project objective and intended audience. Separate observed facts from proposed next steps. Include the source file path or supplied URL for each substantive observation. Mark unknowns explicitly.

Deliverables and confirmation

Return the handoff in chat unless the user requested a file. When a file is requested, write Markdown within the active project to the requested path and follow Wisp's normal write approval. Never infer consent from an unanswered question. Do not upload or submit anything externally. After writing, verify the actual file exists, is readable, and has the expected path and sections. State separately whether the scientific claims were checked; format and file checks alone do not establish scientific correctness.

Out of scope

No new literature retrieval, computation, vision-based figure interpretation, external publication, or environment setup. If requested, explain what additional workflow and dependencies are needed instead of claiming this Skill covers them.

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 Research Handoff AI skill do?

Prepare a traceable research handoff when a user asks to transfer an existing project using supplied notes and files; do not use for new literature searches or new analysis.

Why use Research Handoff on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xuzhougeng/wisp-science/tree/main/community-skills/examples/research-handoff. 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 Research Handoff?

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 Handoff?

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

Is the Research Handoff AI skill free?

Yes. It is published on GitHub by xuzhougeng under the AGPL-3.0-only 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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