langsmith-evaluatortarafından langchain-ai
Build evaluation pipelines for LangSmith with LLM-as-Judge and custom code evaluators. Three core components: creating evaluators (LLM-as-Judge or custom code), defining run functions to capture agent outputs and trajectories, and running evaluations locally or auto-running via uploaded evaluators Supports both offline evaluators (comparing run outputs to dataset examples) and online evaluators (real-time quality checks on production runs) Requires LangSmith API key and project...
npx skills add https://github.com/langchain-ai/langsmith-skills --skill langsmith-evaluatorlangchain-ai tarafından daha fazla skill
arxiv-search
by langchain-ai
Search arXiv for preprints and academic papers by topic with abstract retrieval. Query-based search across physics, mathematics, computer science, biology, statistics, and related fields Configurable result limit (default 10 papers) with results sorted by relevance Returns title and abstract for each matching paper Requires the arxiv Python package; install via pip if not already present
blog-post
by langchain-ai
Long-form blog post writing with research delegation, structured content templates, and AI-generated cover images. Delegates research to subagents before writing, storing findings in markdown for reference and context Enforces a five-part post structure: hook, context, main content (3–5 sections), practical application, and conclusion with call-to-action Generates SEO-optimized cover images using detailed prompts covering subject, style, composition, color, and lighting Outputs posts to...
code-review
by langchain-ai
Perform a structured code review of changes, checking for correctness, style, tests, and potential issues.
coding-prefs
by langchain-ai
Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…
competitor-analysis
by langchain-ai
When asked to analyze competitors:
cudf-analytics
by langchain-ai
Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical…
cuml-machine-learning
by langchain-ai
Use for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality…
data-visualization
by langchain-ai
Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating…