Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景. An agent skill from Weizhena/Deep-Research-skills.
Install Research
$ npx skills add Weizhena/Deep-Research-skills --skill research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Weizhena/Deep-Research-skills research --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/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-zh/research .claude/skills/research && 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 "research" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research into .claude/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/researchType 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 Weizhena/Deep-Research-skills --skill research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Weizhena/Deep-Research-skills research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research-zh/research .agents/skills/research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research into .agents/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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 Weizhena/Deep-Research-skills --skill research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Weizhena/Deep-Research-skills research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research-zh/research .cursor/skills/research && 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 "research" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research into .cursor/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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/Weizhena/Deep-Research-skills.git --path skills/research-zh/research--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 Weizhena/Deep-Research-skills --skill research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Weizhena/Deep-Research-skills research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research-zh/research .gemini/skills/research && 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 "research" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research into .gemini/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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 Weizhena/Deep-Research-skills researchInstalls 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 Weizhena/Deep-Research-skills --skill research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research-zh/research .github/skills/research && 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 "research" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research into .github/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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 Weizhena/Deep-Research-skills --skill research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Weizhena/Deep-Research-skills research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Weizhena/Deep-Research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research-zh/research .opencode/skills/research && 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 "research" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research into .opencode/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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
research- GitHub stars
- 2.3k
- Used in
- 1 other repo
- Token cost
- ~603 tokens
- SKILL.md length
- 82 words
- Files
- 2
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景. An agent skill from Weizhena/Deep-Research-skills.
- Works in 5 steps: 模型内部知识生成初步框架 → Web Search补充 → 询问用户已有字段 → …
- Research & Science work in your project
- SKILL.md covers 触发方式, 执行流程, 输出路径 and 后续命令
- Runs Python scripts from its folder
What it does
Research is an agent skill from Weizhena/Deep-Research-skills. 对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景。
Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `validate_json.py`).
It sits in Research & Science. The repository describes itself as: Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control. The licence is MIT.
When your agent uses it
- Research & Science work in your project
Example prompts
- “/research”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Write, Glob, WebSearch, Task, AskUserQuestion
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 6ce38f6. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteGlobWebSearchTaskAskUserQuestion
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
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
Research loads about 603 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 82 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
The full file from Weizhena/Deep-Research-skills at commit 6ce38f6, republished under its MIT licence (© Weizhena). 82 words, ~603 tokens.
Download SKILL.mdSave it as
.claude/skills/research/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- research
- description
- 对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景。
- allowed-tools
- Read, Write, Glob, WebSearch, Task, AskUserQuestion
- user-invocable
- true
Research Skill - 初步调研
触发方式
/research <topic>
执行流程
Step 1: 模型内部知识生成初步框架
基于topic，利用模型已有知识生成：
- 该领域的主要研究对象/items列表
- 建议的调研字段框架
输出{step1_output}，使用AskUserQuestion确认：
- items列表是否需要增减？
- 字段框架是否满足需求？
Step 2: Web Search补充
使用AskUserQuestion询问时间范围（如：最近6个月、2024年至今、不限）。
参数获取：
{topic}: 用户输入的调研话题{YYYY-MM-DD}: 当前日期{step1_output}: Step 1生成的完整输出内容{time_range}: 用户指定的时间范围
硬约束：以下prompt必须严格复述，仅替换{xxx}中的变量，禁止改写结构或措辞。
启动1个web-search-agent（后台），Prompt模板：
prompt = f"""## 任务
调研话题: {topic}
当前日期: {YYYY-MM-DD}
基于以下初步框架，补充最新items和推荐调研字段。
## 已有框架
{step1_output}
## 目标
1. 验证已有items是否遗漏重要对象
2. 根据遗漏对象进行补充items
3. 继续搜索{topic}相关且{time_range}内的items并补充
4. 补充新fields
## 输出要求
直接返回结构化结果（不写文件）：
### 补充Items
- item_name: 简要说明（为什么应该加入）
...
### 推荐补充字段
- field_name: 字段描述（为什么需要这个维度）
...
### 信息来源
- [来源1](url1)
- [来源2](url2)
"""One-shot示例（假设调研AI Coding发展史）：
## 任务
调研话题: AI Coding 发展史
当前日期: 2025-12-30
基于以下初步框架，补充最新items和推荐调研字段。
## 已有框架
### Items列表
1. GitHub Copilot: Microsoft/GitHub开发，首个主流AI编程助手
2. Cursor: AI-first IDE，基于VSCode
...
### 字段框架
- 基本信息: name, release_date, company
- 技术特性: underlying_model, context_window
...
## 目标
1. 验证已有items是否遗漏重要对象
2. 根据遗漏对象进行补充items
3. 继续搜索AI Coding 发展史相关且2024年至今内的items并补充
4. 补充新fields
## 输出要求
直接返回结构化结果（不写文件）：
### 补充Items
- item_name: 简要说明（为什么应该加入）
...
### 推荐补充字段
- field_name: 字段描述（为什么需要这个维度）
...
### 信息来源
- [来源1](url1)
- [来源2](url2)Step 3: 询问用户已有字段
使用AskUserQuestion询问用户是否有已定义的字段文件，如有则读取并合并。
Step 4: 生成Outline（分离文件）
合并{step1_output}、{step2_output}和用户已有字段，生成两个文件：
outline.yaml（items + 配置）：
- topic: 调研主题
- items: 调研对象列表
- execution:
- batch_size: 并行agent数量（需AskUserQuestion确认）
- items_per_agent: 每个agent调研项目数（需AskUserQuestion确认）
- output_dir: 结果输出目录（默认./results）
fields.yaml（字段定义）：
- 字段分类和定义
- 每个字段的name、description、detail_level
- detail_level分层：极简 → 简要 → 详细
- uncertain: 不确定字段列表（保留字段，deep阶段自动填充）
Step 5: 输出并确认
- 创建目录:
./{topic_slug}/ - 保存:
outline.yaml和fields.yaml - 展示给用户确认
输出路径
{当前工作目录}/{topic_slug}/
├── outline.yaml # items列表 + execution配置
└── fields.yaml # 字段定义后续命令
/research-add-items- 补充items/research-add-fields- 补充字段/research-deep- 开始深度调研
© Weizhena, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/research-zh/research of Weizhena/Deep-Research-skills.
- SKILL.md
- validate_json.py
Open the folder on GitHubat commit 6ce38f6
Used in 1 other repository
We found 7 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Weizhena/Deep-Research-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Research 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 |
|---|---|---|---|---|---|---|
| Research this skillWeizhena/Deep-Research-skills | 2.3k | 1 repos | ~603 | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
More from Weizhena/Deep-Research-skills
All 10 skills in this repoResearch
Weizhena/Deep-Research-skills
Conduct preliminary research on a topic and generate research outline.
Research Deep
Weizhena/Deep-Research-skills
Read research outline, launch independent agent for each item for deep research.
Research Report
Weizhena/Deep-Research-skills
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
Research Deep
Weizhena/Deep-Research-skills
读取调研outline，为每个item启动独立agent进行深度调研。禁用task output. An agent skill from Weizhena/Deep-Research-skills.
Research Add Fields
Weizhena/Deep-Research-skills
Add field definitions to existing research outline. An agent skill from Weizhena/Deep-Research-skills.
Research Add Items
Weizhena/Deep-Research-skills
Add items (research objects) to existing research outline. An agent skill from Weizhena/Deep-Research-skills.
Related
Categories
Questions about Research
What does Research do?
对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景. An agent skill from Weizhena/Deep-Research-skills. Research is an agent skill from Weizhena/Deep-Research-skills.
When should I use Research?
Research fits situations like: research & Science work in your project.
How do I install Research in Claude Code?
Run `npx skills add Weizhena/Deep-Research-skills --skill research -a claude-code`. Or copy the skill folder (skills/research-zh/research in Weizhena/Deep-Research-skills) into .claude/skills/research in your project. Claude Code loads it when a task matches its description.
How do I install Research in Codex?
Run `npx skills add Weizhena/Deep-Research-skills --skill research -a codex`. Or copy the skill folder (skills/research-zh/research in Weizhena/Deep-Research-skills) into .agents/skills/research in your project. Codex loads it when a task matches its description.
Can I use Research 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 Weizhena/Deep-Research-skills --skill research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research, .gemini/skills/research, .github/skills/research and .opencode/skills/research in your project.
What does Research need to run?
Going by SKILL.md and its folder, Research needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Glob, WebSearch, Task, AskUserQuestion.
Does Research 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 Research 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 Research use?
Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Research use?
About 603 tokens (SKILL.md is roughly 2.4k 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 Research?
Skills that share tags, products or a category with Research: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Research?
Weizhena (a GitHub user) maintains it in Weizhena/Deep-Research-skills, which has 2,319 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on August 23, 2026.
Source: Weizhena/Deep-Research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.