clickhouse-io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Skills
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Updated 11-05 00:16
Data & analytics
17,415 results
postgres-patterns
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
synthetic-data-generation
Generate realistic synthetic oil & gas data (LAS well logs, SEG-Y seismic, core photos, time-series) with proper physical constraints for testing, demos, and…
well-log-analysis
Read, analyze, and manipulate well log data in LAS format using lasio library.
data-quality
Data quality management based on Data View and Task Center API. Manage quality rules, query logical views, and create inspection tickets. Use when users need data quality-related operations.
data-semantic
Data Semantic Service API - Provides semantic understanding capabilities for form views. Used for: (1) Querying field semantics and business object recognition results (2) Triggering/batch understanding form views (3) Batch business object matching
smart-data-analysis
The sole single entry point for the Data Analyst Agent: any issue related to data assets, data retrieval, metrics, tables/views, governance responsibilities, knowledge networks, etc. must first be orchestrated and routed through this skill before entering sub-processes such as table finding or data querying. Use when the user raises data-related questions, needs knowledge network selection, or needs to switch between table finding and data querying.
netdata
Netdata real-time monitoring agent: installation, configuration, plugin management, health alarms, Netdata Cloud integration, and troubleshooting. Triggers on:…
redis
Redis in-memory data store administration: configuration, key operations, memory management, persistence, replication, and troubleshooting. Triggers on: redis,…
sqlite
SQLite embedded database administration: opening and querying database files, schema inspection, data import/export, backup, PRAGMA tuning, WAL mode, and…
sysadmin
Linux system administration knowledge base: 163 per-service guides covering daemons, CLI tools, filesystems, containers, networking, security, databases,…
ai-cleaning-data
Normalize and fix messy data fields using AI. Use when normalizing addresses, standardizing company names, fixing inconsistent date formats, cleaning CSV data…
ai-matching-records
Find and merge duplicate records across datasets using AI. Use when deduplicating contacts, merging customer records, entity resolution, matching records…
ai-redacting-data
Strip PII and sensitive data from text before processing with AI. Use when redacting personal information, GDPR compliance, anonymizing customer data, masking…
resume-coach
AI resume evaluation and optimization tool. Based on the STAR/BAR framework, it scores, analyzes, and rewrites resumes from a headhunter's perspective, and supports multi-JD fit analysis. Trigger words: evaluate resume, resume scoring, resume review, resume optimization
backtrader
Backtrader open-source quantitative backtesting framework - supports backtesting and live trading with multiple data sources, multiple strategies, and multiple timeframes, implemented in pure Python.
coingecko-openapi-skill
Operate CoinGecko and GeckoTerminal market data APIs through UXC with a curated OpenAPI schema, API-key auth, and read-first guardrails.
eastmoney_financial_data
This Skill is built on Eastmoney's authoritative database and the underlying data of the latest market quotes. It supports natural language queries of market data (real-time quotes, main force capital flows, valuations, etc. for stocks, industries, sectors, indices, funds, and bonds), financial data (basic information, financial indicators, executive information, main business, etc. of listed companies), and relationship and operational data (associations, business operation data). It prevents models from answering financial data questions based on outdated knowledge and provides authoritative and...
backtrader
Backtrader open-source quantitative backtesting framework - supports multi-data, multi-strategy, multi-timeframe backtesting and live trading, implemented in pure Python.
eastmoney_financial_data
This Skill is built on East Money's authoritative database and the latest underlying market data, supporting natural language queries for market data (real-time quotes, main capital flows, valuations, etc. for stocks, industries, sectors, indices, funds, and bonds), financial data (basic information on listed companies, financial indicators, executive information, main business, etc.), and relationship and operations data (affiliation relationships, company operating data). It prevents the model from answering financial data questions based on outdated knowledge, providing authoritative and...
fastmoss-creatives
Scrape and analyze FastMoss (fastmoss.com) TikTok creative/video rankings — Hot Videos / Hot Music / Hot Hashtags — with country filter; the AI Sales Video Ranking is card-based and noted but not…
fastmoss-market
Pull FastMoss (fastmoss.com) TikShop category-market data via the FastMoss public web API. Covers both pages in the 品类大盘 section: market-category (行业格局 scatter…
fastmoss-shops
Scrape and analyze FastMoss (fastmoss.com) TikTok shop rankings — Shop Sales Ranking / Shop Trending Ranking — with country filter, plus single-shop detail (shop search entry point noted). Use…
pindou-pattern
Generate perler bead patterns. Quantize any image or pixel data into a perler bead construction blueprint PNG with 205 colors and 5 major brand color codes (MARD/COCO/Manman/Panpan/Mixiaowo), including in-cell color codes, row and column coordinates, emphasized grid lines, and color code usage statistics, and it can export a CSV bill of materials. When users mention perler beads, perler bead patterns, color codes, pixel art export, converting an image into N×N…