Bear Map

Bear Map 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 Map

Copy Bear Map 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-map ~/.claude/skills/bear-map

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

What Bear Map does

Bear Map builds a concept map around a term using real paper abstracts, so each node is anchored to retrieved literature. It also outputs Mermaid and standalone HTML for screenshots, plus 3–6 starter papers.

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

Documentation

README

Excerpt

bear-map · 知识地图

一个任务：把一个概念交给它，它从真实检索到的摘要里挖出邻近概念，画出这张地图，再把论文交给你读。模型可以凭半生不熟的记忆画一张概念图——有时候对，有时候错；这里把每个节点锁定到真实检索到的摘要，地图只有它检索到的那么宽，不多不少。

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

地图有意设计为一层深：中心 + 真实邻居。多层递进的深度学习地图是另一种更重的任务，交给 SciMaster，不在这里做。

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 — 锚定概念，执行多维检索 先以输入术语为中心概念执行主检索，sci search 该术语，--mode low，--limit 20，--prefix 与概念挂钩。

主检索之后，至少再做 2 个补充检索，用来验证邻居节点，而不是只靠中心 query 生成整张地图。补充检索从以下角度选择：

方法邻居：中心概念最常连接的技术、数据类型、检测手段
应用场景：中心概念进入的疾病、人群、任务或临床入口
对照概念：摘要中反复出现的替代方法、竞争路线或基线方法
解释任务：组织来源、机制解释、风险分层、预测指标等下游任务
前沿组合：近年摘要中出现的组合词，如 multi-omics、fragmentomics、foundation model 等

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

Frequently asked about Bear Map

What else does xuzhougeng publish alongside Bear Map?
Bear Map 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 Onboard. Each one is a separate skill with its own page in this directory, installs the same way Bear Map 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 Map compare to other AI Engineering skills?
Bear Map ranks #1351 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 Map against them. Open each page to compare what they document and how they install.