machine-learning
153
coot-model-building
Best Practices for Model-Building Tools and Refinement
pemsley
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-analysis
152
tweet-digest
Aggregate and summarize tweets from tracked accounts
aaronjmars
data-ai
data-engineering
152
repo-article
Write an article about the current state, progress, and vision of the watched repo
aaronjmars
data-ai
data-analysis
148
cs448b-visualization
Data visualization design based on Stanford CS448B. Use for: (1) choosing chart types, (2) selecting visual encodings, (3) critiquing visualizations, (4) building D3.js visualizations, (5) designing interactions/animations, (6) choosing colors, (7) visualizing networks, (8) visualizing text. Covers Bertin, Mackinlay, Cleveland & McGill.
sundial-org
data-ai
llm-ai
145
mcp-builder
构建高质量 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。在使用 Python (FastMCP) 或 Node/TypeScript (MCP SDK) 构建 MCP 服务器以集成外部 API 或服务时使用。
LeastBit
data-ai
llm-ai
145
skill-creator
创建高效技能的指南。当用户想要创建新技能（或更新现有技能）以扩展 Claude 的能力，包括专业知识、工作流程或工具集成时，应使用此技能。
LeastBit
data-ai
data-analysis
145
graphvizgenerate-legend
Generate a Graphviz legend template for causal knowledge graphs with node types and edge styles
causify-ai
data-ai
data-analysis
145
graphvizcausal-kg-style
Represent a Causal Knowledge Graph in Graphviz DOT format following visual conventions for causal inference
causify-ai
data-ai
data-analysis
143
executive-briefs
Use to craft concise revenue updates for executives and boards.
gtmagents
data-ai
data-analysis
143
community-sentiment-dashboard
Reporting template for tracking sentiment, risks, and advocacy signals across social + community channels.
gtmagents
data-ai
data-engineering
143
firmographic-analysis
Use when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach.
gtmagents
data-ai
data-analysis
143
exec-dashboard-blueprint
Layout and storytelling guide for marketing analytics executive dashboards.
gtmagents
data-ai
data-analysis
143
partner-ecosystem-map
Visualization toolkit for mapping partner landscape, coverage, and priorities.
gtmagents
data-ai
data-analysis
143
dashboard-playbook
Best-practice kit for BI dashboard layout, storytelling, and adoption.
gtmagents
data-ai
data-analysis
143
visualization-patterns
Use when designing dashboards, reports, and narratives for GTM stakeholders.
gtmagents
data-ai
data-analysis
143
engagement-analytics
Use when measuring webinar funnel performance and diagnosing audience behavior.
gtmagents
data-ai
data-analysis
143
customer-insights
Use when consolidating product usage, health, and sentiment signals for lifecycle programs.
gtmagents
data-ai
data-analysis
143
save-play-library
Use to catalog churn/expansion plays tied to specific signals, cohorts, and owners.
gtmagents
data-ai
data-engineering
143
update-dataset
End-to-end dataset update workflow with PR creation, snapshot, meadow, garden, and grapher steps. Use when user wants to update a dataset, refresh data, run ETL update, or mentions updating dataset versions.
owid
data-ai
data-engineering
143
data-contract-framework
Operating model for defining, enforcing, and auditing BI data contracts.
gtmagents
data-ai
data-engineering
143
community-insight-taxonomy
Tagging schema for classifying community signals by persona, journey, and business impact.
gtmagents
data-ai
data-engineering
143
signal-taxonomy
Use to define schemas, topic tags, and lineage metadata for enriched signals.
gtmagents
data-ai