Deep Research Skills

A two-phase research workflow in five skills: the agent first drafts a research outline of items and fields for a topic, the user can add items or fields, then each item is investigated in depth by a separate agent and the results are compiled into a Markdown report that leaves uncertain values blank. Provided in English and Chinese variants, with a web-search agent definition. Aimed at people doing technology selection, literature or benchmark surveys, competitor analysis and due diligence who want to control the scope at each step.

Technical research
Multi-source investigation

Source: Weizhena/Deep-Research-skills · pinned commit 6ce38f6

View source on GitHub

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EDITORIAL GUIDE

Agree on the research outline before expanding the search

A staged research workflow is useful when scope is the main uncertainty. Approval of an outline establishes a question, not the truth of the eventual answer.

LuluSkill’s own reading of this project, not a summary of its README. About 3 minutes to read

This guide is LuluSkill’s own judgement about when this project fits, written from the pinned version named above. It is not the author’s documentation, not a security review and not a recommendation. LuluSkill did not install, run or test the project to write it, and the guide is shown only while this listing still points at the commit it was written against.

When this project fits

Use this project when a broad question first needs an agreed outline and source plan. The README describes outline preparation followed by deeper research, with different setup paths for several agent hosts. That staging can prevent an expensive search from answering the wrong question.

When to choose something else

Do not start with an unlimited request to research everything about a topic. A broad bibliography can conceal unanswered decisions. Host-specific setup guidance also should not be copied into a different host on the assumption that commands, modules and search providers are interchangeable.

What to provide and what to expect

Provide the decision the research should inform, intended reader, exclusions and freshness requirements. Expect an outline for approval and then a sourced report within that scope. Require unresolved questions and evidence limits to remain visible in the final document.

Tools, permissions and boundaries

The selected host may need local modules, search configuration and network permissions. Verify that exact setup rather than relying on the shared project name. Researching private documents also requires an explicit decision about where those documents and queries will be sent.

The tradeoff and an alternative

A short question answered from two known documents may not need research orchestration. Use the staged approach when scope negotiation and source discovery are the real work. Additional stages are worthwhile only if they make the answer more relevant and traceable.

A small acceptance exercise

Proposed exercise: compare two options under three explicit criteria. Reject an outline that omits a criterion; then check that each conclusion cites a supporting passage and dates any changing facts. An unsupported recommendation should remain a hypothesis, even after the outline was approved.

Source, version and what was actually read

The pinned README opening workflow and host-specific setup descriptions were read. Linked research instructions, local modules and provider behavior were not evaluated. LuluSkill did not install or run this project; the exercise above is a proposed reader check, not a reported result.

How to use this listing

LuluSkill publishes the description and the source link only. The skill itself stays in its author’s repository, and nothing here is installed, copied or run for you.

Read what the skill helps with The summary above says which job the project is for. If that is not the job you have, this is probably not the listing you want.
Open the original source and follow the author’s own instructions The link to the original project opens its author’s page. That page, not this one, is where the setup steps and any copying instructions live.
Use it in a compatible AI assistant Skills of this kind are normally used inside an AI assistant that can read a folder of files on your computer. Which assistants support them is the author’s decision, so check their page before you start.

Who it is for

Somebody who already wants this one job done and is willing to follow the author’s setup steps. No programming knowledge is assumed, and this listing cannot tell you whether the project suits you.

Before you start

You need an AI assistant that supports skills, and you will be following somebody else’s instructions on your own computer. Read them before you run anything.

What you end up with

Whatever the author’s project produces. LuluSkill never runs it, so this page cannot promise a result, a file, or a level of quality.

Where it is normally used

Projects like this are usually used in an AI assistant that supports skills, such as an AI coding assistant. The author’s repository says which assistants it is written for; LuluSkill has not tested it with any of them.

Version checked

The source was checked at this commit: 6ce38f6

Changes made to the repository after this commit have not been checked.

License

MIT, from the licence file in the source repository at the listed commit. Check the repository’s licence before you use or copy the project.

Listing only

LuluSkill lists this project only. It does not host, download or run its code.

What this page does not include

The project’s files and setup steps stay in its own repository. LuluSkill has not security-tested the project or confirmed which AI assistants it works with.

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