Bear Support

Bear Support is an AI Engineering skill for Claude Code, published by xuzhougeng in wisp-science.

1K stars106 forkson xuzhougeng/wisp-scienceAdded 2026/08/21+1% in starsRepository updated 2026/08/21

agent-skillsai-agentai-assistantai-for-scienceai4sciencebioinformaticscomputational-biologydesktop-appllmlocal-firstmcpmodel-context-protocolpythonreproducible-researchresearch-assistantrstatsrustscientific-computingscientific-workflowtauri

Install in seconds

Install Bear Support

Copy Bear Support into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/xuzhougeng/wisp-science/tree/main/skills/bear-support ~/.claude/skills/bear-support

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/xuzhougeng/wisp-science.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/bear-support/SKILL.md in xuzhougeng/wisp-science
Installs to: ~/.claude/skills/bear-support
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Bear Support does

Bear Support finds real academic papers that support a claim or short passage. It uses live scholarly search and explains how each paper supports the statement, or says when no supporting evidence is found.

Bear Support is cataloged under AI Engineering on DirSkills. Bear Support comes from a repository tagged agent-skills, ai-agent, ai-assistant, ai-for-science and ai4science.

Documentation

README

Excerpt

bear-support · 找支持文献

一个任务：你交来一个观点，它带回真实存在的支持文献。支持来自检索，不来自记忆。

先读 references/sci-cli.md——CLI 检测步骤、用法和铁律。再读 references/output-system.md——三层输出体系（TUI / Markdown / HTML）和 HTML 外壳规范。

说明

references.bib 默认生成，包含本次报告所有引用文献。段落模式自动触发，无需加 flag。

步骤（固定顺序）

Step 0 — 确认 CLI 可用 运行 sci --version。未安装就给安装命令并停止；认证错误就提示 sci init 并停止。不要跳过。

Step 1 — 提取主张，识别段落模式 从一句话取核心断言。如果输入是含多个独立主张的段落，自动进入段落模式，把每个主张拆开逐一处理。

自动进入段落模式时，告诉用户："检测到 N 个独立主张，分别检索。"然后直接开始，不等待确认。

给每个主张稳定编号：C1、C2、C3。后续查询、证据表和未支持主张都要回指这些编号，避免段落模式下混淆。

Step 2 — 检索，并展示查询词 对每个主张执行 sci search，使用 --mode low，--limit 10–20，--prefix 与主张挂钩。无论主张是否模糊，都在输出里展示实际使用的查询词——用户看到"它搜了什么"才能判断结果是否可信，也方便日后自己调整。

如果主张含义确实模糊（如专有名词有多个完全不同的含义），先用一句话确认再执行。

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Bear Support

What else does xuzhougeng publish alongside Bear Support?
Bear Support is one of 25 skills that DirSkills catalogs from xuzhougeng/wisp-science, the repository it ships in. Its siblings there include Agent Infini, Bear Counter and Bear Map. Each one is a separate skill with its own page in this directory, installs the same way Bear Support does, and is maintained by xuzhougeng in that same repository. The rest of the collection is listed on the xuzhougeng/wisp-science page.
How does Bear Support compare to other AI Engineering skills?
Bear Support ranks #1356 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Bear Support against them. Open each page to compare what they document and how they install.