Librarium
jkudish/librarium
Runs evidence-aware, multi-provider research with the Librarium v2 CLI.
将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求，生成符合 OpenAI/Google Deep Research 标准的结构化提示词。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。
Install Question Refiner
$ npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main question-refiner --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Deep-Research-main.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/question-refiner .claude/skills/question-refiner && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/question-refiner into .claude/skills/question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "question-refiner", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/question-refinerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main question-refiner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Deep-Research-main.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/question-refiner .agents/skills/question-refiner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/question-refiner into .agents/skills/question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "question-refiner", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main question-refiner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Deep-Research-main.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/question-refiner .cursor/skills/question-refiner && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/question-refiner into .cursor/skills/question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "question-refiner", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/liangdabiao/Claude-Code-Deep-Research-main.git --path .claude/skills/question-refiner--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main question-refiner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Deep-Research-main.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/question-refiner .gemini/skills/question-refiner && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/question-refiner into .gemini/skills/question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "question-refiner", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main question-refinerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Deep-Research-main.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/question-refiner .github/skills/question-refiner && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/question-refiner into .github/skills/question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "question-refiner", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main question-refiner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Deep-Research-main.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/question-refiner .opencode/skills/question-refiner && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/question-refiner into .opencode/skills/question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "question-refiner", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
question-refiner- GitHub stars
- 290
- Used in
- 1 other repo
- Token cost
- ~1.4k tokens
- SKILL.md length
- 590 words
- Files
- 3
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- None found
At a glance
将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求，生成符合 OpenAI/Google Deep Research 标准的结构化提示词。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。
- Works in 3 steps: Initial Response - Ask Clarifying… → Wait for User Response → Generate Structured Prompt
- Tasks that involve Deep research
- SKILL.md covers Role, Core Directives, Interaction Flow and Structured Prompt Quality…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Question Refiner is an agent skill from liangdabiao/Claude-Code-Deep-Research-main. 将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求，生成符合 OpenAI/Google Deep Research 标准的结构化提示词。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `examples.md` and `instructions.md`).
It sits in Research & Science, covering Deep research. It works with OpenAI. The repository describes itself as: 利用claude code agent框架一步一步实现deep research！很强大很简单的skills。我一步一步介绍实现deep research，因为deep research就是agent框架第一应用，对比一下各个框架实现这个deep….
When your agent uses it
- Tasks that involve Deep research
Example prompts
- “/question-refiner”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Initial Response - Ask Clarifying Questions
- Wait for User Response
- Generate Structured Prompt
What it can do on your machine
Read from SKILL.md and the folder at commit 2120f68. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Question Refiner loads about 1.4k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 590 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 590 words (~1,427 tokens).
“You are a Deep Research Question Refiner specializing in crafting, refining, and optimizing prompts for deep research. Your primary objectives are:”
- name
- question-refiner
Files
SKILL.md and 2 other files in .claude/skills/question-refiner of liangdabiao/Claude-Code-Deep-Research-main.
- SKILL.md
- examples.md
- instructions.md
Open the folder on GitHubat commit 2120f68
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in liangdabiao/Claude-Code-Deep-Research-main, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Question Refiner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Question Refiner this skillliangdabiao/Claude-Code-Deep-Research-main | 290 | 1 repos | ~1.4k | Automated safety check: Pass | None | |
| Librariumjkudish/librarium | 134 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Bmad Deep Recondelorenj/mcp-server-trello | 445 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Deep Research MCP Guidepminervini/deep-research-mcp | 113 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Deep Researchjuanandresgs/claude-ctrl | 193 | — | ~3.1k | Automated safety check: Notes | None | |
| Deep Research Reportimpredicative/podgenai | 157 | — | ~513 | Automated safety check: Pass | LGPL-3.0 |
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Related
Works with
Categories
Questions about Question Refiner
What does Question Refiner do?
将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求，生成符合 OpenAI/Google Deep Research 标准的结构化提示词。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。. Question Refiner is an agent skill from liangdabiao/Claude-Code-Deep-Research-main.
When should I use Question Refiner?
Question Refiner fits situations like: tasks that involve Deep research.
How do I install Question Refiner in Claude Code?
Run `npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner -a claude-code`. Or copy the skill folder (.claude/skills/question-refiner in liangdabiao/Claude-Code-Deep-Research-main) into .claude/skills/question-refiner in your project. Claude Code loads it when a task matches its description.
How do I install Question Refiner in Codex?
Run `npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner -a codex`. Or copy the skill folder (.claude/skills/question-refiner in liangdabiao/Claude-Code-Deep-Research-main) into .agents/skills/question-refiner in your project. Codex loads it when a task matches its description.
Can I use Question Refiner in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill question-refiner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/question-refiner, .gemini/skills/question-refiner, .github/skills/question-refiner and .opencode/skills/question-refiner in your project.
What does Question Refiner need to run?
SKILL.md names no scripts, command-line tools or credentials: Question Refiner is instructions for the agent only.
Does Question Refiner access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Question Refiner safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Question Refiner use?
No licence was found for Question Refiner or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Question Refiner use?
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Question Refiner?
Skills that share tags, products or a category with Question Refiner: Librarium (jkudish/librarium, 134 stars), Bmad Deep Recon (delorenj/mcp-server-trello, 445 stars), Deep Research MCP Guide (pminervini/deep-research-mcp, 113 stars) and Deep Research (juanandresgs/claude-ctrl, 193 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Question Refiner?
liangdabiao (a GitHub user) maintains it in liangdabiao/Claude-Code-Deep-Research-main, which has 290 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on December 30, 2025.
Source: liangdabiao/Claude-Code-Deep-Research-main on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.