LangSkills Search
/install langskills-search
LangSkills Search
Search 119,608 evidence-backed skills covering 62K+ research papers and 23K+ coding/tech sources — all offline via FTS5 SQLite.
When to Use
- User asks for best practices, how-tos, or techniques on a technical topic
- You need evidence-backed knowledge (not LLM-generated guesses)
- Research tasks that benefit from academic or real-world source citations
First-Time Setup
pip install langskills-rai
# Install matching bundles for the current project or pick a domain:
langskills-rai bundle-install --auto
Search Command
langskills-rai skill-search "\x3Cquery>" [options]
Parameters
| Flag | Description | Default |
|---|---|---|
--top N |
Number of results | 5 |
--domain \x3Cd> |
Filter by domain | all |
--min-score N |
Minimum quality score (0-5) | 0 |
--content |
Include full skill body | off |
--format markdown |
Output as Markdown | text |
Example
langskills-rai skill-search "CRISPR gene editing" --domain research --top 3 --content --format markdown
Reading Results
Each result includes: title, domain, quality score (0-5), source URL, and optionally the full skill body. Higher scores indicate stronger evidence chains.
Available Domains
linux · web · programming · devtools · security · cloud · data · ml · llm · observability · research-arxiv · research-plos-* · research-elife · research-other
Tips
- Use
--content --format markdownto get copy-paste-ready skill text - Combine
--domainwith--min-score 4.0for high-quality results - Run
bundle-install --autoin a project directory to install only relevant domains
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install langskills-search - 安装完成后,直接呼叫该 Skill 的名称或使用
/langskills-search触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
LangSkills Search 是什么?
Search 119K evidence-backed skills from 95K+ papers & 24K+ tech sources. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 184 次。
如何安装 LangSkills Search?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install langskills-search」即可一键安装,无需额外配置。
LangSkills Search 是免费的吗?
是的,LangSkills Search 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
LangSkills Search 支持哪些平台?
LangSkills Search 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 LangSkills Search?
由 shatianming5(@shatianming5)开发并维护,当前版本 v1.0.0。