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.
A skill your agent uses when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structured reports with…
Install Aliyun Qwen Deep Research
$ npx skills add cinience/alicloud-skills --skill aliyun-qwen-deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cinience/alicloud-skills aliyun-qwen-deep-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/cinience/alicloud-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai/research/aliyun-qwen-deep-research .claude/skills/aliyun-qwen-deep-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 "aliyun-qwen-deep-research" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/research/aliyun-qwen-deep-research into .claude/skills/aliyun-qwen-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-deep-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/cinience/alicloud-skills/tree/main/skills/ai/research/aliyun-qwen-deep-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 cinience/alicloud-skills --skill aliyun-qwen-deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cinience/alicloud-skills aliyun-qwen-deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai/research/aliyun-qwen-deep-research .agents/skills/aliyun-qwen-deep-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 "aliyun-qwen-deep-research" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/research/aliyun-qwen-deep-research into .agents/skills/aliyun-qwen-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-deep-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 cinience/alicloud-skills --skill aliyun-qwen-deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cinience/alicloud-skills aliyun-qwen-deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai/research/aliyun-qwen-deep-research .cursor/skills/aliyun-qwen-deep-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 "aliyun-qwen-deep-research" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/research/aliyun-qwen-deep-research into .cursor/skills/aliyun-qwen-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-deep-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/cinience/alicloud-skills.git --path skills/ai/research/aliyun-qwen-deep-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 cinience/alicloud-skills --skill aliyun-qwen-deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cinience/alicloud-skills aliyun-qwen-deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai/research/aliyun-qwen-deep-research .gemini/skills/aliyun-qwen-deep-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 "aliyun-qwen-deep-research" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/research/aliyun-qwen-deep-research into .gemini/skills/aliyun-qwen-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-deep-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 cinience/alicloud-skills aliyun-qwen-deep-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 cinience/alicloud-skills --skill aliyun-qwen-deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai/research/aliyun-qwen-deep-research .github/skills/aliyun-qwen-deep-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 "aliyun-qwen-deep-research" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/research/aliyun-qwen-deep-research into .github/skills/aliyun-qwen-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-deep-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 cinience/alicloud-skills --skill aliyun-qwen-deep-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 cinience/alicloud-skills aliyun-qwen-deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cinience/alicloud-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai/research/aliyun-qwen-deep-research .opencode/skills/aliyun-qwen-deep-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 "aliyun-qwen-deep-research" agent skill from https://github.com/cinience/alicloud-skills/tree/main/skills/ai/research/aliyun-qwen-deep-research into .opencode/skills/aliyun-qwen-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aliyun-qwen-deep-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
aliyun-qwen-deep-research- GitHub stars
- 397
- Token cost
- ~780 tokens
- SKILL.md length
- 265 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 96
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structured reports with…
- A task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation
- SKILL.md covers Validation, Output And Evidence, Critical model names and Prerequisites, plus 5 more sections
- Runs Python scripts from its folder; calls python and python3; needs DASHSCOPE_API_KEY
- Run iterative web research
What it does
Aliyun Qwen Deep Research is an agent skill from cinience/alicloud-skills. Use when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structured reports with citations or evidence summaries.
Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/sources.md` and `scripts/prepare_deep_research_request.py`).
It sits in Research & Science, covering Deep research. It works with Qwen and Alibaba Cloud. The repository describes itself as: alibaba cloud skills，qwen ，wan and all skills. The licence is MIT.
When your agent uses it
- A task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation
- Run iterative web research
- Produce structured reports with citations
- Evidence summaries
Example prompts
- “/aliyun-qwen-deep-research”
Requirements
- Python 3
- A credential in DASHSCOPE_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit 1818263. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpython3
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 these keys or tokens, usually read from environment variables:
DASHSCOPE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Aliyun Qwen Deep Research loads about 780 tokens when it runs, and up to ~847 if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 265 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); the scripts in this folder are not scanned.
SKILL.md
The full file from cinience/alicloud-skills at commit 1818263, republished under its MIT licence (© cinience). 265 words, ~780 tokens.
Download SKILL.mdSave it as
.claude/skills/aliyun-qwen-deep-research/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- aliyun-qwen-deep-research
- description
- Use when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structured reports with citations or evidence summaries.
- version
- 1.0.0
Category: provider
Model Studio Qwen Deep Research
Validation
mkdir -p output/aliyun-qwen-deep-research
python -m py_compile skills/ai/research/aliyun-qwen-deep-research/scripts/prepare_deep_research_request.py && echo "py_compile_ok" > output/aliyun-qwen-deep-research/validate.txtPass criteria: command exits 0 and output/aliyun-qwen-deep-research/validate.txt is generated.
Output And Evidence
- Save research goals, confirmation answers, normalized request payloads, and final report snapshots under
output/aliyun-qwen-deep-research/. - Keep the exact model, region, and
enable_feedbacksetting with each saved run.
Use this skill when the user wants a deep, multi-stage research workflow rather than a single chat completion.
Critical model names
Use one of these exact model strings:
qwen-deep-researchqwen-deep-research-2025-12-15
Selection guidance:
- Use
qwen-deep-researchfor the current mainline model. - Use
qwen-deep-research-2025-12-15when you need the snapshot with MCP tool-calling support and stronger reproducibility.
Prerequisites
- Install SDK in a virtual environment:
python3 -m venv .venv
. .venv/bin/activate
python -m pip install dashscope- Set
DASHSCOPE_API_KEYin your environment, or adddashscope_api_keyto~/.alibabacloud/credentials. - This model currently applies to the China mainland (Beijing) region and uses its own API shape rather than OpenAI-compatible mode.
Normalized interface (research.run)
Request
topic(string, required)model(string, optional): defaultqwen-deep-researchmessages(array<object>, optional)enable_feedback(bool, optional): defaulttruestream(bool, optional): must betrueattachments(array<object>, optional): image URLs and related context
Response
status(string): stage status such asthinking,researching, orfinishedtext(string, optional): streamed content chunkreport(string, optional): final structured research reportraw(object, optional)
Quick start
python skills/ai/research/aliyun-qwen-deep-research/scripts/prepare_deep_research_request.py \
--topic "Compare cloud video generation model trade-offs for marketing automation." \
--disable-feedbackOperational guidance
- Expect streaming output only.
- Keep the initial topic concrete and bounded; broad topics can trigger long iterative search plans.
- If the model asks follow-up questions and you already know the constraints, answer them explicitly to avoid wasted rounds.
- Use the snapshot model when you need stable evaluation runs or MCP tool-calling support.
Output location
- Default output:
output/aliyun-qwen-deep-research/requests/ - Override base dir with
OUTPUT_DIR.
References
references/sources.md
© cinience, 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 3 other files (scripts, references) in skills/ai/research/aliyun-qwen-deep-research of cinience/alicloud-skills.
- SKILL.md
- agents/openai.yaml
- references/sources.md
- scripts/prepare_deep_research_request.py
Open the folder on GitHubat commit 1818263
Compare with similar skills
Aliyun Qwen Deep 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 |
|---|---|---|---|---|---|---|
| Aliyun Qwen Deep Research this skillcinience/alicloud-skills | 397 | — | ~780 | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Deep Researchsanjay3290/ai-skills | 432 | 9 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills | 21k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Academic Research PipelineImbad0202/academic-research-skills | 51k | — | ~15k | Automated safety check: Pass | Custom licence |
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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.
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A router skill that sends academic work such as literature reviews, drafting, citation checks, peer review and revision to the right workflow in the ARS suite.
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Questions about Aliyun Qwen Deep Research
What does Aliyun Qwen Deep Research do?
A skill your agent uses when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structured reports with…. Aliyun Qwen Deep Research is an agent skill from cinience/alicloud-skills. Use when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structured reports with citations or evidence summaries.
When should I use Aliyun Qwen Deep Research?
Aliyun Qwen Deep Research fits situations like: A task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation; run iterative web research; produce structured reports with citations; evidence summaries.
How do I install Aliyun Qwen Deep Research in Claude Code?
Run `npx skills add cinience/alicloud-skills --skill aliyun-qwen-deep-research -a claude-code`. Or copy the skill folder (skills/ai/research/aliyun-qwen-deep-research in cinience/alicloud-skills) into .claude/skills/aliyun-qwen-deep-research in your project. Claude Code loads it when a task matches its description.
How do I install Aliyun Qwen Deep Research in Codex?
Run `npx skills add cinience/alicloud-skills --skill aliyun-qwen-deep-research -a codex`. Or copy the skill folder (skills/ai/research/aliyun-qwen-deep-research in cinience/alicloud-skills) into .agents/skills/aliyun-qwen-deep-research in your project. Codex loads it when a task matches its description.
Can I use Aliyun Qwen Deep 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 cinience/alicloud-skills --skill aliyun-qwen-deep-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/aliyun-qwen-deep-research, .gemini/skills/aliyun-qwen-deep-research, .github/skills/aliyun-qwen-deep-research and .opencode/skills/aliyun-qwen-deep-research in your project.
What does Aliyun Qwen Deep Research need to run?
Going by SKILL.md and its folder, Aliyun Qwen Deep Research needs Python for the scripts in its folder, the command-line tools its instructions call (python and python3) and credentials named DASHSCOPE_API_KEY. Our summary lists: Python 3; A credential in DASHSCOPE_API_KEY.
Does Aliyun Qwen Deep 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 Aliyun Qwen Deep 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Aliyun Qwen Deep Research use?
Aliyun Qwen Deep 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 Aliyun Qwen Deep Research use?
About 780 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 67 tokens, read only when the agent opens those files.
What are the alternatives to Aliyun Qwen Deep Research?
Skills that share tags, products or a category with Aliyun Qwen Deep Research: GitHub Deep Research (bytedance/deer-flow, 84k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 stars) and Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aliyun Qwen Deep Research?
cinience (a GitHub user) maintains it in cinience/alicloud-skills, which has 397 GitHub stars. The repository holds 96 skills in this directory. The repository was last updated on August 11, 2026.
Source: cinience/alicloud-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.