domain cluster

Data & AI

Machine learning, LLMs, and data processing.

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data-analysis
113

data-science

Use this skill when performing exploratory data analysis, statistical testing, data visualization, or building predictive models. Triggers on EDA, pandas, matplotlib, seaborn, hypothesis testing, A/B test analysis, correlation, regression, feature engineering, and any task requiring data analysis or statistical inference.

NeverSight
NeverSight
data-ai
open
data-analysis
113

ohlcv-processing

Market data preparation including OHLCV resampling, gap handling, anomaly detection, normalization, and multi-source merging

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NeverSight
data-ai
open
data-analysis
113

solanatracker-api

Solana token data, PnL, risk scores, 1-second OHLCV, wallet analytics, and self-hosted swap execution via Raptor

NeverSight
NeverSight
data-ai
open
data-analysis
113

survey-research

对问卷原始数据进行全流程自动化分析,包括基础统计(频率分布 + 人口学概览)、 交叉分析(不同人群差异对比)和文本分析(开放题主题归纳)。 支持两种数据来源:用户提供本地 CSV/Excel 文件,或通过问卷 ID/名称从问卷系统直接下载(支持清洗)后分析。 输出 Markdown 摘要报告 + Word 分析报告(默认),支持转换为 Excel/TXT 格式。 当用户要求分析问卷数据、生成问卷调研报告、对比不同人群差异、 分析开放题文本内容时触发。即使用户没有明确说"问卷",只要涉及 调研数据分析、用户反馈分析、满意度分析、NPS 分析等场景也应触发此 skill。 当用户说"下载并分析问卷"、"清洗问卷然后出报告"、"帮我下载问卷90450"、 "下载国内问卷数据"、"从问卷系统拉数据"等涉及下载+分析的场景时,也应触发。 确保在用户说"帮我分析这份问卷"、"分析一下不同性别的差异"、 "请结合文本题分析"、"下载问卷90450然后分析"、"清洗并导出问卷"等类似表达时使用。

NeverSight
NeverSight
data-ai
open
data-engineering
113

deploy

Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.

databricks
databricks
data-ai
open
data-engineering
113

bmad-tea

Enterprise Test Architecture (TEA) framework for quality engineering. Includes workflows for testing education (TEA Academy), risk-based test design, framework scaffolding, ATDD (Red-phase), CI/CD pipeline configuration, NFR (Non-functional) assessment, and quality auditing (0-100 scoring). Use for establishing or executing comprehensive testing strategies.

NeverSight
NeverSight
data-ai
open
data-engineering
113

api-cms-sanity

Structured content platform — GROQ queries, schema definitions, @sanity/client, Portable Text, image handling, real-time listeners, mutations, TypeGen

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data-ai
open
data-engineering
113

api-vector-db-pinecone

Pinecone serverless vector database -- index management, vector operations, metadata filtering, namespaces, hybrid search, inference API

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NeverSight
data-ai
open
data-engineering
113

api-vector-db-qdrant

Qdrant vector database -- collection management, point operations, payload filtering, named vectors, quantization, recommendations, snapshots

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NeverSight
data-ai
open
data-engineering
113

firebase-data-connect

Firebase Data Connect integration for GraphQL-based data access with PostgreSQL. Use when building GraphQL schemas, queries, mutations, or integrating Firebase Data Connect with Angular applications. Supports type-safe generated SDKs, real-time subscriptions, and server-side data validation.

NeverSight
NeverSight
data-ai
open
data-engineering
113

mcp-repomix

Use the Repomix MCP server to package codebase into consolidated files for AI analysis, search file contents, and understand project structure; essential for comprehensive codebase analysis and context gathering.

NeverSight
NeverSight
data-ai
open
data-engineering
113

compute-management

Use when launching OCI compute instances, troubleshooting out-of-capacity or boot failures, optimizing compute costs, or handling instance lifecycle. Covers shape selection, capacity planning, service limits, and production incident resolution.

NeverSight
NeverSight
data-ai
open
data-engineering
113

database-management

Use when creating Autonomous Databases, troubleshooting connection failures, managing PDBs, or optimizing database costs. Covers connection string confusion, password validation errors, stop/start cost traps, clone type selection, and backup retention gotchas.

NeverSight
NeverSight
data-ai
open
data-engineering
113

deploy

Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.

databricks
databricks
data-ai
open
data-engineering
113

oracle-dba

Use when managing Oracle Autonomous Database on OCI, troubleshooting performance issues, optimizing costs, or implementing HA/DR. Covers ADB-specific gotchas, cost traps, SQL_ID debugging workflows, auto-scaling behavior, and version differences (19c/21c/23ai/26ai).

NeverSight
NeverSight
data-ai
open
data-engineering
113

market-microstructure

DEX orderflow analysis, trade classification, buyer/seller pressure, and microstructure signals for Solana tokens

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NeverSight
data-ai
open
data-engineering
113

shredstream

Pre-execution Solana transaction streaming via Jito ShredStream, Shyft RabbitStream, and Triton Deshred

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NeverSight
data-ai
open
data-engineering
113

dolos-pipeline

Architecture of the Dolos processing pipeline — WorkUnit lifecycle, executor modes, CardanoWorkUnit variants, WorkBuffer state machine, and sequencing. Reference when debugging execution ordering, understanding phase boundaries, or adding new work unit types.

txpipe
txpipe
data-ai
open
data-engineering
113

trade

Swap tokens using Fibrous aggregation on Base, Citrea, HyperEVM, or Monad. Finds optimal route, simulates before execution.

NeverSight
NeverSight
data-ai
open
data-engineering
113

deeplake-managed

SDK for ingesting data into Deeplake managed tables. Use when users want to store, ingest, or query data in Deeplake.

NeverSight
NeverSight
data-ai
open
data-engineering
113

web-state-redux-toolkit

Redux Toolkit patterns for complex client state. Use when managing enterprise-scale state, needing DevTools, entity normalization, or RTK Query for data fetching.

NeverSight
NeverSight
data-ai
open
data-engineering
113

oracle-dba

Use when managing Oracle Autonomous Database on OCI, troubleshooting performance, optimizing costs, or implementing HA/DR. ADB-specific gotchas, cost traps, SQL_ID debugging workflows, auto-scaling behavior, and version differences (19c/21c/23ai/26ai). Keywords: ADB, Autonomous Database, ECPU, auto-scaling, SQL_ID, wait events, ORA- errors, wallet, BYOL.

NeverSight
NeverSight
data-ai
open
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