Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
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.
Install Research Deep
$ npx skills add Weizhena/Deep-Research-skills --skill research-deep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Weizhena/Deep-Research-skills research-deep --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-deep .claude/skills/research-deep && 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-deep" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research-deep into .claude/skills/research-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep", 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/research-deepType 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-deep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Weizhena/Deep-Research-skills research-deep --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-deep .agents/skills/research-deep && 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-deep" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research-deep into .agents/skills/research-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep", 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-deep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Weizhena/Deep-Research-skills research-deep --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-deep .cursor/skills/research-deep && 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-deep" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research-deep into .cursor/skills/research-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep", 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-deep--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-deep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Weizhena/Deep-Research-skills research-deep --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-deep .gemini/skills/research-deep && 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-deep" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research-deep into .gemini/skills/research-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep", 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 research-deepInstalls 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-deep -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-deep .github/skills/research-deep && 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-deep" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research-deep into .github/skills/research-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep", 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-deep -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-deep --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-deep .opencode/skills/research-deep && 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-deep" agent skill from https://github.com/Weizhena/Deep-Research-skills/tree/master/skills/research-zh/research-deep into .opencode/skills/research-deep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-deep", 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-deep- GitHub stars
- 2.3k
- Used in
- 1 other repo
- Token cost
- ~521 tokens
- SKILL.md length
- 64 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
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.
- Works in 5 steps: 自动定位Outline → 断点续传检查 → 分批执行 → …
- Research & Science work in your project
- SKILL.md covers 触发方式, 执行流程 and Agent配置
- Calls python
What it does
Research Deep is an agent skill from 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。
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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-deep”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash, Read, Write, Glob, WebSearch, Task
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:
BashReadWriteGlobWebSearchTask
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python
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 Deep loads about 521 tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 64 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Write, Glob, WebSearch, Task
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). 64 words, ~521 tokens.
Download SKILL.mdSave it as
.claude/skills/research-deep/SKILL.md (or your agent's skills folder).- name
- research-deep
- description
- 读取调研outline，为每个item启动独立agent进行深度调研。禁用task output。
- allowed-tools
- Bash, Read, Write, Glob, WebSearch, Task
- user-invocable
- true
Research Deep - 深度调研
触发方式
/research-deep
执行流程
Step 1: 自动定位Outline
在当前工作目录查找 */outline.yaml 文件，读取items列表、execution配置（含items_per_agent）。
Step 2: 断点续传检查
- 检查output_dir下已完成的JSON文件
- 跳过已完成的items
Step 3: 分批执行
- 按batch_size分批（完成一批需要得到用户同意才可进行下一批）
- 每个agent负责items_per_agent个项目
- 启动web-search-agent（后台并行，禁用task output）
参数获取：
{topic}: outline.yaml中的topic字段{item_name}: item的name字段{item_related_info}: item的完整yaml内容（name + category + description等）{output_dir}: outline.yaml中execution.output_dir（默认./results）{fields_path}: {topic}/fields.yaml的绝对路径{output_path}: {output_dir}/{item_name_slug}.json的绝对路径（slugify处理item_name：空格替换为_，移除特殊字符）
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。
Prompt模板：
prompt = f"""## 任务
调研 {item_related_info}，输出结构化JSON到 {output_path}
## 字段定义
读取 {fields_path} 获取所有字段定义
## 输出要求
1. 按fields.yaml定义的字段输出JSON
2. 不确定的字段值标注[不确定]
3. JSON末尾添加uncertain数组，列出所有不确定的字段名
4. 所有字段值必须使用中文输出（调研过程可用英文，但最终JSON值为中文）
## 输出路径
{output_path}
## 验证
完成JSON输出后，运行验证脚本确保字段完整覆盖：
python ~/.claude/skills/research/validate_json.py -f {fields_path} -j {output_path}
验证通过后才算完成任务。
"""One-shot示例（假设调研GitHub Copilot）：
## 任务
调研 name: GitHub Copilot
category: 国际产品
description: Microsoft/GitHub开发，首个主流AI编程助手，市场份额约40%，输出结构化JSON到 {project_dir}/results/GitHub_Copilot.json
## 字段定义
读取 {project_dir}/fields.yaml 获取所有字段定义
## 输出要求
1. 按fields.yaml定义的字段输出JSON
2. 不确定的字段值标注[不确定]
3. JSON末尾添加uncertain数组，列出所有不确定的字段名
4. 所有字段值必须使用中文输出（调研过程可用英文，但最终JSON值为中文）
## 输出路径
{project_dir}/results/GitHub_Copilot.json
## 验证
完成JSON输出后，运行验证脚本确保字段完整覆盖：
python ~/.claude/skills/research/validate_json.py -f {project_dir}/fields.yaml -j {project_dir}/results/GitHub_Copilot.json
验证通过后才算完成任务。Step 4: 等待与监控
- 等待当前批次完成
- 启动下一批
- 显示进度
Step 5: 汇总报告
全部完成后输出：
- 完成数量
- 失败/不确定标记的items
- 输出目录
Agent配置
- 后台执行: 是
- Task Output: 禁用（agent完成时有明确输出文件）
- 断点续传: 是
© 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
Just SKILL.md in skills/research-zh/research-deep of Weizhena/Deep-Research-skills.
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 Deep 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 Deep this skillWeizhena/Deep-Research-skills | 2.3k | 1 repos | ~521 | Automated safety check: Notes | 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
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. 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 Deep
What does Research Deep do?
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 Deep is an agent skill from Weizhena/Deep-Research-skills.
When should I use Research Deep?
Research Deep fits situations like: research & Science work in your project.
How do I install Research Deep in Claude Code?
Run `npx skills add Weizhena/Deep-Research-skills --skill research-deep -a claude-code`. Or copy the skill folder (skills/research-zh/research-deep in Weizhena/Deep-Research-skills) into .claude/skills/research-deep in your project. Claude Code loads it when a task matches its description.
How do I install Research Deep in Codex?
Run `npx skills add Weizhena/Deep-Research-skills --skill research-deep -a codex`. Or copy the skill folder (skills/research-zh/research-deep in Weizhena/Deep-Research-skills) into .agents/skills/research-deep in your project. Codex loads it when a task matches its description.
Can I use Research Deep 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-deep -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-deep, .gemini/skills/research-deep, .github/skills/research-deep and .opencode/skills/research-deep in your project.
What does Research Deep need to run?
Going by SKILL.md and its folder, Research Deep needs the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, Write, Glob, WebSearch, Task.
Does Research Deep 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 Deep safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Research Deep use?
Research Deep 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 Deep use?
About 521 tokens (SKILL.md is roughly 2.1k 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 Deep?
Skills that share tags, products or a category with Research Deep: 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 Deep?
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.