ml-experiment-tracker
Guides ML experiment logging, versioning, and reproducibility using tools like MLflow, Weights & Biases, and DVC for systematic model development.
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-31 00:15
17,200 results
Guides ML experiment logging, versioning, and reproducibility using tools like MLflow, Weights & Biases, and DVC for systematic model development.
Analyzes complex SQL queries to improve performance, suggesting indexing strategies, schema refactoring, and query rewrites.
Analyzes time-series data for patterns, trends, seasonality, and anomalies, with forecasting using statistical and machine learning methods.
Comprehensive portfolio analysis using Alpaca MCP Server integration to fetch holdings and positions, then analyze asset allocation, risk metrics, individual…
Use when managing Oracle Autonomous Database on OCI, troubleshooting performance, optimizing costs, or implementing HA/DR. ADB-specific gotchas, cost traps,…
Use when writing or reviewing code that handles external input, manages access, touches data or crypto, or changes dependencies. Triggers: endpoints,…
Use when optimizing SQL queries, designing database schemas, or tuning database performance. Invoke for complex queries, window functions, CTEs, indexing…
Implement comprehensive analytics tracking for marketing insights
Convert an SLS project or input directory into a structured overview.md SOP document. Triggered when the user provides an SLS project name, requests generation of a log analysis SOP, generates documentation from an index/dashboard, or mentions generate-sls-sop.
Trade history tracking, sync, and performance analytics
Search and view prediction market data from Polymarket, Kalshi, Manifold, and Metaculus
Metaculus forecasting platform (read-only)
Research prediction markets - base rates, resolution rules, historical data
Anomaly and outlier detection using Isolation Forest, One-Class SVM, autoencoders, and statistical methods. Activates for "anomaly detection", "outlier…
Apache Kafka architecture expert for event-driven systems, cluster design, partition strategies, consumer groups, and event sourcing/CQRS patterns. Use when…
Implement GA4 for Taiwan e-commerce — Enhanced Ecommerce events (view_item, add_to_cart, begin_checkout, purchase), TW-specific parameter conventions (tax-included...
Designs and builds Axiom dashboards via API. Covers chart types, APL and metrics/MPL query patterns, SmartFilters, layout, and configuration options. Use when…
Audit data quality across pipelines, warehouses, and stores. Use when designing a DQ program, defining DQ dimensions, building rule-based checks, detecting…
Check if a failing test is a known upstream flake in Chromium's LUCI Analysis database. Provides flakiness statistics, verdict, and recommendation for filter…
Build real-time hypermedia web apps with Datastar — the backend owns state and pushes HTML down one long-lived SSE stream while writes are short-lived requests…
TikTok keyword search video scraper: input search keyword → output paginated video list with full metadata (author, engagement stats, music, video meta). Use…
Python data processing with pandas, openpyxl, and lxml. Covers DataFrame operations, Excel I/O, XML parsing, bulk data transformation, and large-file handling.…
Get real-time stock prices and financial info for US stocks (like AAPL, TSLA, NVDA).
Product manager competitive analysis report generator. Triggered when the user mentions competitive analysis, competitor research, competitive comparison, competitor analysis, market competition analysis, or industry competitive research. Also applicable when the user requests comparison of the features, business models, market positioning, etc. of multiple products/platforms/companies. Even if the user only says 'help me analyze XX and YY' or 'who are XX's competitors,' as long as it involves comparative analysis between products/companies, this should be used…