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 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