- 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 --autoSearch 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 markdownReading 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