LangSkills Search

该 Skill 封装 langskills-rai 命令行工具，在本地 FTS5 SQLite 技能库中按关键词检索证据支撑的技能条目，支持按领域、最低质量分过滤，可输出 Markdown 或含完整正文的结果，结果包含标题、领域、质量分与来源。检索为离线进行。

shatianming5

热度 47.18

最近更新 2026-05-11 17:32:38

分类：搜索依赖：代码执行 / 读写文件应用场景：研究

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add langskills-search

Metadata

name: langskills-search
version: 0.1.0
description: Search 119K evidence-backed skills from 95K+ papers & 24K+ tech sources
author: LabRAI
tags: ["research","skills","knowledge-base","search","evidence"]
requires: {"bins":["python3"]}
metadata: {"source":"https://github.com/LabRAI/LangSkills","license":"MIT","min_python":"3.10"}

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 "<query>" [options]

Parameters

Flag	Description	Default
`--top N`	Number of results	5
`--domain <d>`	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 markdown to get copy-paste-ready skill text
Combine --domain with --min-score 4.0 for high-quality results
Run bundle-install --auto in a project directory to install only relevant domains