发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Analyzes and extracts insights from images, videos, and audio files using advanced AI models.
Transforms raw datasets into professional-grade charts, graphs, and visual plots using intelligent data analysis.
Transcribes audio files locally using whisper.cpp with CUDA acceleration for high-performance speech-to-text conversion.
Transforms temporal RecordSets into event-triggered CaseSets for machine learning feature extraction.
Downloads solar observation data from SDO, STEREO, and Solar Orbiter missions for scientific analysis and machine learning.
Facilitates the development of AI-powered applications using the OpenAI SDK, covering GPT-5 models, Responses API, and advanced tool calling.
Extracts structured training pairs from academic peer reviews and source documents to build high-quality datasets for LLM fine-tuning.
Performs advanced mathematical physics computations, symbolic algebra, and automated theorem proving using the Theory2 suite.
Develops production-grade Python code with a focus on type safety, fail-fast logic, and rigorous testing for research environments.
Automates multi-stage research idea generation and evaluation using graph-guided search and tournament-style ranking.
Establishes rigorous and defensible ground truth labels for evaluation datasets based on authoritative guidelines.
Streamlines academic research data analysis by enforcing reproducible dbt pipelines and interactive Streamlit dashboards.
Facilitates reproducible academic research and data pipelines using dbt and Streamlit while enforcing rigorous data integrity standards.
Provides expert guidance and routine lookup for the ctrlsys control systems library, covering LQR design, Kalman filtering, and system identification.
Automates the generation of publication-ready tables and figures from model performance data for academic research.
Identifies and mitigates the tendency to see meaningful patterns in random data streaks or clusters.
Enhances decision-making through a multi-model adversarial reasoning protocol and reliability-weighted aggregation.
Orchestrates neural network training, evaluation, and deployment through a model-agnostic pipeline and standardized asset packaging system.
Extracts structured training examples from document sets to create high-quality datasets for teaching LLMs specific tasks or styles.
Enables Claude to identify and mitigate logical errors caused by focusing on visible successes while ignoring hidden failures.
Enhances decision-making by identifying statistical reversion in performance data and preventing false causal interpretations.
Automates the generation of professional Quarto PDF reports and PowerPoint presentations from CSV survey data.
Implements high-throughput machine learning inference patterns for processing large-scale datasets on a scheduled basis.
Transforms structured CaseSets into ML-ready datasets with automated splitting, feature engineering, and vocabulary management.
Automates the creation and interactive refinement of LaTeX academic paper drafts from research data and architectural blueprints.
Identifies and manages risks in fat-tailed distributions where extreme events occur more frequently than standard models predict.
Adjusts and optimizes aggregated probability forecasts to compensate for crowd conservatism and improve predictive accuracy.
Verifies mathematical claims and generates Lean 4 formal proofs or counterexamples using the Harmonic Aristotle API.
Architects autonomous AI agent systems using structured reasoning patterns, memory management, and resilient tool integration.
Conducts professional-grade biomedical literature searches and manages citations using the PubMed database.
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