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 ```bash pip install langskills-rai # Install matching bundles for the current project or pick a domain: langskills-rai bundle-install --auto ``` ## Search Command ```bash 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 ```bash 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