machine-learning
193
explorer-tidx
Explorer-only TIDX migration skill (PG-first, CH fallback for count-heavy paths)
tempoxyz
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
190
skill-creator
创建有效技能的指南。当用户想要创建新技能（或更新现有技能）以通过专业知识、工作流或工具集成扩展 Claude 的功能时，应使用此技能。
Prorise-cool
data-ai
llm-ai
190
load-pickle-persona
Activates the Pickle Rick persona. Use this ONLY when the user explicitly requests to start the "Pickle Rick" mode or loop. DO NOT use this for general greetings (e.g., "hi") normal assistance.
galz10
data-ai
llm-ai
190
mcp-builder
创建高质量 MCP（模型上下文协议）服务器的指南，使 LLM 能够通过精心设计的工具与外部服务交互。在构建 MCP 服务器以集成外部 API 或服务时使用，无论是 Python (FastMCP) 还是 Node/TypeScript (MCP SDK)。
Prorise-cool
data-ai
machine-learning
189
human-machine-brainstorm
This skill should be used when the user asks to "人机风暴", "Human-Machine Brainstorm", "human storm", "ccb brainstorm", "需求对齐调度", "spec convergence", or wants a CCB-based multi-model requirement alignment loop with Codex as the dispatcher.
cnfjlhj
data-ai
data-engineering
188
azure-kusto
Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.
jonathan-vella
data-ai
data-engineering
188
workflow-engine
Machine-readable workflow DAG for the multi-step agent pipeline. Defines node types, edge conditions, gates, and fan-out patterns. USE FOR: Orchestrator step routing, resume-from-graph, workflow validation. DO NOT USE FOR: Azure infrastructure, code generation, troubleshooting.
jonathan-vella
data-ai
data-engineering
186
lambda-migration
Guides Phase 2 Lambda Container Migration steps. Pass a specific step number (2-1 through 2-5) to get the goals, deliverables, validation criteria, and detailed design for that step.
serithemage
data-ai
data-analysis
185
data-analytics-foundations
Core data analytics concepts, Excel/Google Sheets fundamentals, and data collection techniques
majiayu000
data-ai
data-analysis
185
data-synthesis
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
majiayu000
data-ai
data-analysis
185
composable-svelte-charts
Data visualization and chart components for Composable Svelte. Use when creating charts, graphs, or data visualizations. Covers chart types (scatter, line, bar, area, histogram), data binding, state-driven updates, interactive features (zoom, brush, tooltips), and responsive design from @composable-svelte/charts package built with Observable Plot and D3.
majiayu000
data-ai
data-analysis
185
clustering-analysis
Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning
majiayu000
data-ai
data-analysis
185
data-analysis-sql
SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.
majiayu000
data-ai
data-analysis
185
data-analysis-agent
Analyzes data with rich metadata recommendations
majiayu000
data-ai
data-analysis
185
data-viz-insight
Interactive data exploration and visualization skill. Use when users ask to visualize data, analyze datasets, create charts, or explore data files (CSV, Excel, Parquet, JSON). This skill guides through data exploration, proposes visualization strategies based on data characteristics, creates interactive Plotly charts in marimo notebooks, and generates analytical conclusions.
majiayu000
data-ai
data-analysis
185
long-call-butterfly
Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-cost defined-risk strategy, analyzing pinning opportunities, or evaluating tight-range neutral positions on stocks near technical levels.
majiayu000
data-ai
data-analysis
185
er-modeling
Create entity-relationship diagrams with proper normalization, keys, and cardinality for logical data models.
majiayu000
data-ai
data-analysis
185
long-strangle
Analyzes long strangle volatility plays with OTM call and put at different strikes. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting very large price movement, want lower-cost alternative to straddle, analyzing high-volatility events, or evaluating wide-range breakout opportunities on stocks with elevated IV.
majiayu000
data-ai