Total 50,476 skills, Data Processing has 2559 skills
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Expert guidance for working with Dagster and the dg CLI. ALWAYS use before doing any task that requires knowledge specific to Dagster, or that references assets, materialization, or data pipelines. Common tasks may include creating a new project, adding new definitions, understanding the current project structure, answering general questions about the codebase (finding asset, schedule, sensor, component or job definitions), debugging issues, or providing deep information about a specific Dagster concept.
Designs reliable ETL and data synchronization jobs with incremental updates, idempotency guarantees, watermark tracking, error handling, and retry logic. Use for "ETL jobs", "data sync", "incremental sync", or "data pipeline".
从智慧芽专利数据库获取翻译后的专利权利要求。当用户询问专利权利要求、权利要求翻译、查看特定语言（中文、英文或日文）的权利要求、通过专利ID或公开号查询专利权利、分析权利要求文本、claim translation, patent claim translation, PatSnap, patent translation时触发此技能。即使用户未明确提及"翻译版权利要求"，只要其需求涉及获取特定语言的专利权利要求内容，也应触发此技能。
Analyst EPS estimate time series for a listed stock via Longbridge — tracks how the consensus EPS forecast (high / low / mean / median / analyst count) has changed over time, and shows actual values where reported. Answers "have analysts been raising or cutting their estimates?" Complements longbridge-consensus (current snapshot) by focusing on the historical revision trajectory. Triggers: "分析师预测历史", "EPS预测趋势", "一致预期变化", "预期上调下调", "分析师预期轨迹", "分析师EPS", "预测时间序列", "分析師預測歷史", "EPS預測趨勢", "一致預期變化", "預期上調下調", "分析師EPS", "analyst estimate history", "EPS estimate trend", "consensus revision history", "estimate time series", "analyst forecast trajectory", "EPS upgrade downgrade history".
Develop and deploy Data Cloud Code Extensions using SF CLI plugin. Use this skill when creating custom Python transformations for Data Cloud, deploying code extensions, or testing data transformations. Supports init, run, scan, and deploy operations.
Update Margin Dashboard with Fidelity balance data and calculate margin-living strategy metrics. Monitors margin balance, interest costs, coverage ratios, and scaling thresholds. Triggers safety alerts for large draws and provides time-based scaling recommendations. Use when updating margin, balances, coverage ratio, or margin strategy analysis.
Data file fetching and caching for geoscience applications. Download sample datasets with automatic caching, checksum verification, and multiple download sources. Use when Claude needs to: (1) Download datasets from URLs or DOIs, (2) Cache files locally with automatic verification, (3) Verify file integrity with SHA256/MD5 hashes, (4) Extract compressed archives (ZIP, TAR, GZIP), (5) Create data registries for reproducible workflows, (6) Fetch from Zenodo or other repositories.
Access protein metadata, function, taxonomy, and sequences across UniProtKB, UniParc, and UniRef. Use when searching for proteins, mapping identifiers, or retrieving functional annotations and publications. Don't use for sequence alignment, protein folding, or sequence similarity search (use specialized skills for those tasks).
Profile a new tabular dataset before modeling. Find target leakage, missing data patterns, high-cardinality categoricals, near-constant features, redundant pairs, and non-linear relationships that Pearson correlation misses. Use whenever the user hands you a CSV or parquet and asks "what should I do with this?" Always run this skill before training any model on data you haven't seen before.
Builds, schedules, and operates analytics DAGs in CARTO Workflows — the no-code/low-code orchestration layer over the data warehouse. Triggers when the user wants to author a workflow, run/edit one, schedule a DAG, or copy a workflow across profiles or orgs.
Vendor-neutral skill to compare forecast assumptions over time and flag high-impact drift.
10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation tasks.