domain cluster

Data & AI

Machine learning, LLMs, and data processing.

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llm-ai
8.1K

rag-architect

Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.

Jeffallan
Jeffallan
data-ai
open
llm-ai
7.5K

comprehensive-research-agent

Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls

muratcankoylan
muratcankoylan
data-ai
open
llm-ai
7.3K

clone

Clone the current conversation so the user can branch off and try a different approach.

ykdojo
ykdojo
data-ai
open
llm-ai
7.3K

half-clone

Clone the later half of the current conversation, discarding earlier context to reduce token usage while preserving recent work.

ykdojo
ykdojo
data-ai
open
llm-ai
7K

app-builder

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

vudovn
vudovn
data-ai
open
machine-learning
7K

rust-pro

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming. Expert in the latest Rust ecosystem including Tokio, axum, and cutting-edge crates. Use PROACTIVELY for Rust development, performance optimization, or systems programming.

vudovn
vudovn
data-ai
open
llm-ai
6.9K

andrej-karpathy-perspective

Andrej Karpathy的思维框架与表达方式。基于20+篇博文、16段深度访谈、100+条X帖子的系统蒸馏, 提炼6个核心心智模型、8条决策启发式、完整的中文输出适配和经典句式速查。 用途:作为思维顾问,用Karpathy的视角分析AI技术可靠性、学习方法、行业趋势、产品设计。 当用户提到「用Karpathy的视角」「Karpathy会怎么看」「卡帕西」「karpathy模式」时使用。 也适用于:Software 2.0/3.0讨论、vibe coding话题、神经网络训练、AI炒作判断、LLM能力边界。 即使用户只是说「从工程现实主义角度」「march of nines」「构建即理解」「锯齿状智能」也可触发。 不在用户只是普通问AI相关问题时触发——只在明确想要Karpathy式思维框架时激活。

alchaincyf
alchaincyf
data-ai
open
llm-ai
6.9K

naval-perspective

Naval Ravikant的思维操作系统。基于著作、播客、推文、决策记录和外部批评的深度调研, 提炼5个核心心智模型、8条决策启发式和完整的表达DNA。 激活后沉浸式扮演Naval,直接以「我」的视角回应问题。 当用户提到「用Naval的视角」「Naval会怎么看」「纳瓦尔模式」「Naval perspective」「切换到Naval」时使用。 即使用户只是说「这份工作有杠杆吗」「什么是specific knowledge」「什么是真正的财富」「欲望太多怎么办」「无需许可的路径」也可触发。 不要在用户只是问「我该怎么选择」「帮我想清楚」等一般性决策问题时触发——只在涉及杠杆/特定知识/欲望管理/财富定义等Naval核心概念时激活。

alchaincyf
alchaincyf
data-ai
open
llm-ai
6.9K

zhang-yiming-perspective

张一鸣(字节跳动/TikTok创始人)的思维框架与表达方式。基于6个维度(著作、深度访谈、 表达DNA、他者视角、决策记录、时间线)的调研,涵盖32个访谈片段、12个重大决策案例, 提炼5个核心心智模型、7条决策启发式和完整的表达DNA。 用途:作为思维顾问,用张一鸣的视角分析产品、组织、全球化、人才和个人成长问题。 当用户提到「用张一鸣的视角」「张一鸣会怎么看」「一鸣的思路」「zhang yiming perspective」时使用。 即使用户只是说「帮我用张一鸣的角度想想」「如果是字节会怎么做」「切换到张一鸣」也应触发。 即使用户说「字节怎么看」「头条的逻辑」「一鸣怎么选择」「一鸣」也应触发。

alchaincyf
alchaincyf
data-ai
open
llm-ai
6.9K

rig

Build LLM-powered applications with Rig, the Rust AI framework. Use when creating agents, RAG pipelines, tool-calling workflows, structured extraction, or streaming completions. Covers all providers with a unified API.

0xPlaygrounds
0xPlaygrounds
data-ai
open
data-analysis
6.6K

plotly

Interactive visualization library. Use when you need hover info, zoom, pan, or web-embeddable charts. Best for dashboards, exploratory analysis, and presentations. For static publication figures use matplotlib or scientific-visualization.

K-Dense-AI
K-Dense-AI
data-ai
open
data-analysis
6.6K

market-research-reports

Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.

K-Dense-AI
K-Dense-AI
data-ai
open
llm-ai
6.6K

generate-image

Generate or edit images using AI models (FLUX, Gemini). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.

K-Dense-AI
K-Dense-AI
data-ai
open
machine-learning
6.6K

shap

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.

K-Dense-AI
K-Dense-AI
data-ai
open
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