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.
执行完整的 7 阶段深度研究流程。接收结构化研究任务，自动部署多个并行研究智能体，生成带完整引用的综合研究报告。当用户有结构化的研究提示词时使用此技能。
Install Research Executor
$ npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill research-executor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main research-executor --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/research-executor .claude/skills/research-executor && 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-executor" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/research-executor into .claude/skills/research-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-executor", 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/research-executorType 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 research-executor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main research-executor --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/research-executor .agents/skills/research-executor && 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-executor" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/research-executor into .agents/skills/research-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-executor", 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 research-executor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main research-executor --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/research-executor .cursor/skills/research-executor && 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-executor" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/research-executor into .cursor/skills/research-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-executor", 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/research-executor--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 research-executor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main research-executor --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/research-executor .gemini/skills/research-executor && 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-executor" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/research-executor into .gemini/skills/research-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-executor", 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 research-executorInstalls 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 research-executor -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/research-executor .github/skills/research-executor && 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-executor" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/research-executor into .github/skills/research-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-executor", 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 research-executor -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 research-executor --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/research-executor .opencode/skills/research-executor && 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-executor" agent skill from https://github.com/liangdabiao/Claude-Code-Deep-Research-main/tree/main/.claude/skills/research-executor into .opencode/skills/research-executor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research-executor", 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-executor- GitHub stars
- 290
- Token cost
- ~1.2k tokens
- SKILL.md length
- 533 words
- Files
- 3
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- None found
At a glance
执行完整的 7 阶段深度研究流程。接收结构化研究任务，自动部署多个并行研究智能体，生成带完整引用的综合研究报告。当用户有结构化的研究提示词时使用此技能。
- Works in 7 steps: Question Scoping ✓ (Already Done) → Retrieval Planning → Iterative Querying (Multi-Agent Execution) → …
- Tasks that involve Deep research
- SKILL.md covers Role, Core Responsibilities, The 7-Phase Deep Research… and Graph of Thoughts (GoT)…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Research Executor is an agent skill from liangdabiao/Claude-Code-Deep-Research-main. 执行完整的 7 阶段深度研究流程。接收结构化研究任务，自动部署多个并行研究智能体，生成带完整引用的综合研究报告。当用户有结构化的研究提示词时使用此技能。
Its SKILL.md is about 1.2k 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. 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
- “/research-executor”
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Question Scoping ✓ (Already Done)
- Retrieval Planning
- Iterative Querying (Multi-Agent Execution)
- Source Triangulation
- Knowledge Synthesis
- Quality Assurance
- Output & Packaging
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.
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 Executor loads about 1.2k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 533 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 533 words (~1,198 tokens).
“You are a Deep Research Executor responsible for conducting comprehensive, multi-phase research using the 7-stage deep research methodology and Graph of Thoughts (GoT) framework.”
- name
- research-executor
Files
SKILL.md and 2 other files in .claude/skills/research-executor of liangdabiao/Claude-Code-Deep-Research-main.
- SKILL.md
- examples.md
- instructions.md
Open the folder on GitHubat commit 2120f68
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders. 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
Research Executor 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 Executor this skillliangdabiao/Claude-Code-Deep-Research-main | 290 | — | ~1.2k | Automated safety check: Pass | None | |
| 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 | |
| ResearchWeizhena/Deep-Research-skills | 2.3k | 3 repos | ~1.1k | 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.
Research
Weizhena/Deep-Research-skills
Conduct preliminary research on a topic and generate research outline.
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.
More from liangdabiao/Claude-Code-Deep-Research-main
Question Refiner
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。
Citation Validator
liangdabiao/Claude-Code-Deep-Research-main
验证研究报告中所有声明的引用准确性、来源质量和格式规范性。确保每个事实性声明都有可验证的来源，并提供来源质量评级。当最终确定研究报告、审查他人研究、发布或分享研究之前使用此技能。
Got Controller
liangdabiao/Claude-Code-Deep-Research-main
Graph of Thoughts (GoT) Controller - 管理研究图状态，执行图操作（Generate, Aggregate, Refine, Score），优化研究路径质量。当研究主题复杂或多方面、需要策略性探索（深度 vs 广度）、高质量研究时使用此技能。
Synthesizer
liangdabiao/Claude-Code-Deep-Research-main
将多个研究智能体的发现综合成连贯、结构化的研究报告。解决矛盾、提取共识、创建统一叙述。当多个研究智能体完成研究、需要将发现组合成统一报告、发现之间存在矛盾时使用此技能。
Related
Categories
Questions about Research Executor
What does Research Executor do?
执行完整的 7 阶段深度研究流程。接收结构化研究任务，自动部署多个并行研究智能体，生成带完整引用的综合研究报告。当用户有结构化的研究提示词时使用此技能。. Research Executor is an agent skill from liangdabiao/Claude-Code-Deep-Research-main.
When should I use Research Executor?
Research Executor fits situations like: tasks that involve Deep research.
How do I install Research Executor in Claude Code?
Run `npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill research-executor -a claude-code`. Or copy the skill folder (.claude/skills/research-executor in liangdabiao/Claude-Code-Deep-Research-main) into .claude/skills/research-executor in your project. Claude Code loads it when a task matches its description.
How do I install Research Executor in Codex?
Run `npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill research-executor -a codex`. Or copy the skill folder (.claude/skills/research-executor in liangdabiao/Claude-Code-Deep-Research-main) into .agents/skills/research-executor in your project. Codex loads it when a task matches its description.
Can I use Research Executor 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 research-executor -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-executor, .gemini/skills/research-executor, .github/skills/research-executor and .opencode/skills/research-executor in your project.
What does Research Executor need to run?
SKILL.md names no scripts, command-line tools or credentials: Research Executor is instructions for the agent only.
Does Research Executor 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 Executor 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 Executor use?
No licence was found for Research Executor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Research Executor use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Executor?
Skills that share tags, products or a category with Research Executor: 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 Executor?
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.