data-analysis
356
market-sizing
Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches
paperclipai
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-analysis
356
ab-test-analysis
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations
paperclipai
data-ai
machine-learning
356
shader-dev
Comprehensive GLSL shader techniques for stunning visual effects — ray marching, SDF modeling, fluid simulation, procedural generation, and more
paperclipai
data-ai
machine-learning
356
gtm-motions
Identify the best GTM motions and tools across 7 motion types: Inbound, Outbound, Paid Digital, Community, Partners, ABM, and PLG
paperclipai
data-ai
machine-learning
356
prioritize-assumptions
Prioritize assumptions using an Impact × Risk matrix and suggest experiments for each
paperclipai
data-ai
data-analysis
355
data-visualization
Creates effective data visualizations using various libraries and tools, with focus on clarity and insight communication. Trigger keywords: chart, graph, plot, visualization, dashboard, matplotlib, d3, plotly, visualization.
ynulihao
data-ai
data-analysis
355
statistical-analysis
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
ynulihao
data-ai
machine-learning
355
transformers
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA, summarization, translation, and image tasks. (plugin:scientific-packages@claude-scientific-skills)
ynulihao
data-ai
data-analysis
353
research-report
Summarize deep research results into markdown report, cover all fields, skip uncertain values.
Weizhena
data-ai
data-engineering
351
dhi-python
Ultra-fast data validation library for Python (520x faster than Pydantic). Use when building validated data models, API request/response schemas, or configuration objects. Provides Pydantic v2-compatible BaseModel API with Zig-powered native validation.
justrach
data-ai
data-engineering
349
312-frameworks-spring-data-jdbc
Use when you need to use Spring Data JDBC with Java records — including entity design with records, repository pattern, immutable updates, aggregate relationships, custom queries, transaction management, and avoiding N+1 problems. Part of the skills-for-java project
jabrena
data-ai
data-engineering
349
411-frameworks-quarkus-jdbc
Use when you need programmatic JDBC in Quarkus — Agroal DataSource, parameterized SQL, transactions, batching, and Dev Services. Part of the skills-for-java project
jabrena
data-ai
data-engineering
349
511-frameworks-micronaut-jdbc
Use when you need programmatic JDBC in Micronaut — pooled DataSource, parameterized SQL, io.micronaut.transaction.annotation.Transactional, batching, and domain exception translation. Part of the skills-for-java project
jabrena
data-ai
llm-ai
348
context-management
在多轮对话和多 Agent 协作场景下，帮助模型管理指令、项目状态和长上下文。通过外部文档与会话笔记实现可控的“记忆”、指令冲突检测和高质量交接。适用于任务跨多次调用、跨 Agent、需要稳定行为规范时使用。
No-Trade-No-Life
data-ai
data-engineering
347
data-analysis
High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.
ArtificialAnalysis
data-ai
data-analysis
345
finance-manager
Comprehensive personal finance management system for analyzing transaction data, generating insights, creating visualizations, and providing actionable financial recommendations. Use when users need to analyze spending patterns, track budgets, visualize financial data, extract transactions from PDFs, calculate savings rates, identify spending trends, generate financial reports, or receive personalized budget recommendations. Triggers include requests like "analyze my finances", "track my spending", "create a financial report", "extract transactions from PDF", "visualize my budget", "where is my money going", "financial insights", "spending breakdown", or any finance-related analysis tasks.
ailabs-393
data-ai
machine-learning
345
data-analyst
This skill should be used when analyzing CSV datasets, handling missing values through intelligent imputation, and creating interactive dashboards to visualize data trends. Use this skill for tasks involving data quality assessment, automated missing value detection and filling, statistical analysis, and generating Plotly Dash dashboards for exploratory data analysis.
ailabs-393
data-ai
data-analysis
345
csv-data-visualizer
This skill should be used when working with CSV files to create interactive data visualizations, generate statistical plots, analyze data distributions, create dashboards, or perform automatic data profiling. It provides comprehensive tools for exploratory data analysis using Plotly for interactive visualizations.
ailabs-393
data-ai
data-engineering
342
migrating-json-schemas
Migrates JSON Schemas between draft versions for use with z-schema. Use when the user wants to upgrade schemas from draft-04 to draft-2020-12, convert between draft formats, update deprecated keywords, replace id with $id, convert definitions to $defs, migrate items to prefixItems, replace dependencies with dependentRequired or dependentSchemas, adopt unevaluatedProperties or unevaluatedItems, or adapt schemas to newer JSON Schema features.
zaggino
data-ai