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.
Conduct preliminary research on a topic and generate research outline.
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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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
- 3 other repos
- Token cost
- ~1.1k tokens
- SKILL.md length
- 253 words
- Files
- 2
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
Conduct preliminary research on a topic and generate research outline.
- Works in 5 steps: Generate Initial Framework from Model… → Web Search Supplement → Ask User for Existing Fields → …
- Tasks that involve Deep research
- SKILL.md covers Trigger, Workflow, Output Path and Follow-up Commands
- Runs Python scripts from its folder
What it does
Research is an agent skill from Weizhena/Deep-Research-skills. Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
Its SKILL.md is about 1.1k 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, covering Deep research. 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
- Tasks that involve Deep research
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 1.1k tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 253 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). 253 words, ~1,084 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
- Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
- allowed-tools
- Read, Write, Glob, WebSearch, Task, AskUserQuestion
- user-invocable
- true
Research Skill - Preliminary Research
Trigger
/research <topic>
Workflow
Step 1: Generate Initial Framework from Model Knowledge
Based on topic, use model's existing knowledge to generate:
- Main research objects/items list in this domain
- Suggested research field framework
Output {step1_output}, use AskUserQuestion to confirm:
- Need to add/remove items?
- Does field framework meet requirements?
Step 2: Web Search Supplement
Use AskUserQuestion to ask for time range (e.g., last 6 months, since 2024, unlimited).
Parameter Retrieval:
{topic}: User input research topic{YYYY-MM-DD}: Current date{step1_output}: Complete output from Step 1{time_range}: User specified time range
Hard Constraint: The following prompt must be strictly reproduced, only replacing variables in {xxx}, do not modify structure or wording.
Launch 1 web-search-agent (background), Prompt Template:
prompt = f"""## Task
Research topic: {topic}
Current date: {YYYY-MM-DD}
Based on the following initial framework, supplement latest items and recommended research fields.
## Existing Framework
{step1_output}
## Goals
1. Verify if existing items are missing important objects
2. Supplement items based on missing objects
3. Continue searching for {topic} related items within {time_range} and supplement
4. Supplement new fields
## Output Requirements
Return structured results directly (do not write files):
### Supplementary Items
- item_name: Brief explanation (why it should be added)
...
### Recommended Supplementary Fields
- field_name: Field description (why this dimension is needed)
...
### Sources
- [Source1](url1)
- [Source2](url2)
"""One-shot Example (assuming researching AI Coding History):
## Task
Research topic: AI Coding History
Current date: 2025-12-30
Based on the following initial framework, supplement latest items and recommended research fields.
## Existing Framework
### Items List
1. GitHub Copilot: Developed by Microsoft/GitHub, first mainstream AI coding assistant
2. Cursor: AI-first IDE, based on VSCode
...
### Field Framework
- Basic Info: name, release_date, company
- Technical Features: underlying_model, context_window
...
## Goals
1. Verify if existing items are missing important objects
2. Supplement items based on missing objects
3. Continue searching for AI Coding History related items within since 2024 and supplement
4. Supplement new fields
## Output Requirements
Return structured results directly (do not write files):
### Supplementary Items
- item_name: Brief explanation (why it should be added)
...
### Recommended Supplementary Fields
- field_name: Field description (why this dimension is needed)
...
### Sources
- [Source1](url1)
- [Source2](url2)Step 3: Ask User for Existing Fields
Use AskUserQuestion to ask if user has existing field definition file, if so read and merge.
Step 4: Generate Outline (Separate Files)
Merge {step1_output}, {step2_output} and user's existing fields, generate two files:
outline.yaml (items + config):
- topic: Research topic
- items: Research objects list
- execution:
- batch_size: Number of parallel agents (confirm with AskUserQuestion)
- items_per_agent: Items per agent (confirm with AskUserQuestion)
- output_dir: Results output directory (default: ./results)
fields.yaml (field definitions):
- Field categories and definitions
- Each field's name, description, detail_level
- detail_level hierarchy: brief -> moderate -> detailed
- uncertain: Uncertain fields list (reserved field, auto-filled in deep phase)
Step 5: Output and Confirm
- Create directory:
./{topic_slug}/ - Save:
outline.yamlandfields.yaml - Show to user for confirmation
Output Path
{current_working_directory}/{topic_slug}/
├── outline.yaml # items list + execution config
└── fields.yaml # field definitionsFollow-up Commands
/research-add-items- Supplement items/research-add-fields- Supplement fields/research-deep- Start deep research
© 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-en/research of Weizhena/Deep-Research-skills.
- SKILL.md
- validate_json.py
Open the folder on GitHubat commit 6ce38f6
Used in 3 other repositories
We found 13 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in Weizhena/Deep-Research-skills, which our catalogue first saw on October 7, 2026.
- majiayu000/claude-skill-registryskills/analysis/research-weizhena-deep-research-skillsskills/analysis/research-weizhena-deep-research-skills-3+1 more
- lornshrimp/Lorn.NovelWriteSkillsCommonSkills/通用-深度研究/research-en/research
- infometa/workbuddyskillsskills/deep-research/research-en/researchexperts/ai-engineer/skills/deep-research/research-en/research+5 more
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 | 3 repos | ~1.1k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| X Researchrohunvora/x-research-skill | 1.2k | 1 repos | ~1.6k | Automated safety check: Pass | None | |
| Deep Researchsanjay3290/ai-skills | 431 | 10 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills | 21k | — | ~2.1k | Automated safety check: Pass | MIT |
Similar skills
Deep Research Workflow
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
X Research
rohunvora/x-research-skill
General-purpose X/Twitter research agent. An agent skill from rohunvora/x-research-skill.
Deep Research
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Horizontal-Vertical Deep Research
KKKKhazix/khazix-skills
Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
Academic Research Pipeline
Imbad0202/academic-research-skills
Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.
More from Weizhena/Deep-Research-skills
All 10 skills in this repoResearch Deep
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Read research outline, launch independent agent for each item for deep research.
Research Report
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Summarize deep research results into markdown report, cover all fields, skip uncertain values.
Research
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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 Deep
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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?
Conduct preliminary research on a topic and generate research outline. Research is an agent skill from Weizhena/Deep-Research-skills. Conduct preliminary research on a topic and generate research outline.
When should I use Research?
Research fits situations like: tasks that involve Deep research.
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-en/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-en/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 1.1k tokens (SKILL.md is roughly 4.3k 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: GitHub Deep Research (bytedance/deer-flow, 83k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), X Research (rohunvora/x-research-skill, 1.2k stars) and Deep Research (sanjay3290/ai-skills, 431 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 2,312 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.