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。

No licenceAuto-check passedResearch & Science

Install Synthesizer

skills CLI
$ npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill synthesizer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install liangdabiao/Claude-Code-Deep-Research-main synthesizer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/synthesizer .claude/skills/synthesizer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
synthesizer
GitHub stars
290
Token cost
~1.6k tokens
SKILL.md length
716 words
Files
3
Skills in repo
5
Repo updated
First seen
Licence
None found

At a glance

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。

  • Works in 5 steps: Review and Organize → Consensus Building → Contradiction Resolution → …
  • Tasks that involve Deep research
  • SKILL.md covers Role, Core Responsibilities, Synthesis Process and Synthesis Techniques, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Synthesizer is an agent skill from 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。

Its SKILL.md is about 1.6k 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

  • “/synthesizer”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Review and Organize
  2. Consensus Building
  3. Contradiction Resolution
  4. Structured Synthesis
  5. Quality Enhancement

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 (its code samples are markdown).

    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

Synthesizer loads about 1.6k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 716 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 716 words (~1,621 tokens).

“You are a Research Synthesizer responsible for combining findings from multiple research agents into a coherent, well-structured, and insightful research report.”

— opening of SKILL.md by liangdabiao
name
synthesizer

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in .claude/skills/synthesizer 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

Synthesizer 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.

Synthesizer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Synthesizer this skillliangdabiao/Claude-Code-Deep-Research-main290—~1.6kAutomated safety check: PassNone
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Deep Research WorkflowTokenRhythm/opensquilla7.1k—~1.3kAutomated safety check: PassApache-2.0
Deep Researchsanjay3290/ai-skills4329 repos~683Automated safety check: NotesApache-2.0
Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills21k—~2.1kAutomated safety check: PassMIT
Academic Research PipelineImbad0202/academic-research-skills51k—~15kAutomated safety check: PassCustom licence

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.

    84k GitHub starsUsed in 4 repos~1.3k tokens
    Research & ScienceAuto-check passed
  • 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.

    7.1k GitHub stars~1.3k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Deep Research

    sanjay3290/ai-skills

    Execute autonomous multi-step research using Google Gemini Deep Research Agent.

    432 GitHub starsUsed in 9 repos~683 tokens
    Research & ScienceAuto-check: notes
  • 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.

    21k GitHub stars~2.1k tokensUpdated 9 days ago
    Research & ScienceAuto-check passed
  • 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.

    51k GitHub stars~15k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Academic Research Suite for Codex

    Imbad0202/academic-research-skills-codex

    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.

    12k GitHub stars~12k tokensUpdated 7 days ago
    Research & ScienceAuto-check passed

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。

    290 GitHub starsUsed in 1 repo~1.4k tokens
    Auto-check passed
  • 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。

    290 GitHub stars~1.4k tokensUpdated 9 mo ago
    Auto-check passed
  • 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。

    290 GitHub stars~1.6k tokensUpdated 9 mo ago
    Auto-check passed
  • Research Executor

    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。

    290 GitHub stars~1.2k tokensUpdated 9 mo ago
    Auto-check passed

Questions about Synthesizer

What does Synthesizer do?

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。. Synthesizer is an agent skill from liangdabiao/Claude-Code-Deep-Research-main.

When should I use Synthesizer?

Synthesizer fits situations like: tasks that involve Deep research.

How do I install Synthesizer in Claude Code?

Run `npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill synthesizer -a claude-code`. Or copy the skill folder (.claude/skills/synthesizer in liangdabiao/Claude-Code-Deep-Research-main) into .claude/skills/synthesizer in your project. Claude Code loads it when a task matches its description.

How do I install Synthesizer in Codex?

Run `npx skills add liangdabiao/Claude-Code-Deep-Research-main --skill synthesizer -a codex`. Or copy the skill folder (.claude/skills/synthesizer in liangdabiao/Claude-Code-Deep-Research-main) into .agents/skills/synthesizer in your project. Codex loads it when a task matches its description.

Can I use Synthesizer 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 synthesizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/synthesizer, .gemini/skills/synthesizer, .github/skills/synthesizer and .opencode/skills/synthesizer in your project.

What does Synthesizer need to run?

SKILL.md names no scripts, command-line tools or credentials: Synthesizer is instructions for the agent only.

Does Synthesizer 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 Synthesizer 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 Synthesizer use?

No licence was found for Synthesizer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Synthesizer use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Synthesizer?

Skills that share tags, products or a category with Synthesizer: 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 Synthesizer?

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.