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Found 286 Skills
Inject knowledge into JSON data context.
Use when lINQ query and method syntax, deferred execution, and performance optimization. Use when querying collections in C#.
Consulta riesgo pais de Argentina con serie historica desde Anduin API. Usar cuando el usuario pida "riesgo pais argentina", "ultimo riesgo pais", "serie historica de riesgo pais", "riesgo pais por fecha o periodo", o "evolucion del riesgo pais".
Data analysis, SQL queries, BigQuery operations, and data insights. Use for data analysis tasks and queries.
Manages Ahrefs API usage in Python using `ahrefs-python` library. Use when working with SEO / marketing related tasks or with data including backlinks, keywords, domain ratings, organic traffic, site audits, rank tracking, and brand monitoring. Covers `ahrefs-python` usage including AhrefsClient / AsyncAhrefsClient, typed request/response models, error handling, and all API sections.
Guide for using Nushell for structured data pipelines and scripting. Use when writing shell scripts, processing structured data, or working with cross-platform automation.
Coin comprehensive analysis. Use this skill whenever the user asks to analyze a single coin. Trigger phrases include: analyze, how is, worth buying, look at. MCP tools: info_coin_get_coin_info, info_marketsnapshot_get_market_snapshot, info_markettrend_get_technical_analysis, news_feed_search_news, news_feed_get_social_sentiment.
Synthesize customer feedback into thematic clusters when the user asks to analyze feedback, review VoC data, or understand customer sentiment
Analyze Apple Health export ZIP. Run local prepare to generate structured insights, then produce a professional health report based on cross-metric analysis and historical context.
Install or update DuckDB extensions. Each argument is either a plain extension name (installs from core) or name@repo (e.g. magic@community). Pass --update to update extensions instead of installing.
Transform, filter, reshape, join, and manipulate football data. Use when the user needs to clean data, merge datasets, convert between formats, handle missing values, work with large datasets, or do any data manipulation task on football data.
Football data analytics — the single entry point. Use whenever the user mentions football data, xG, expected goals, match analysis, player stats, scouting, match reports, shot maps, passing networks, Premier League data, Champions League stats, scraping FBref/Understat/Transfermarkt, building football charts, or anything football analytics related. Routes to specialised sub-skills automatically. Also handles first-time setup and profile management.