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Found 1,292 Skills
Work with Notion from the terminal using the `notion` CLI. Use when the user needs to read, create, update, query, or manage Notion pages, databases, blocks, comments, users, or files programmatically. Covers the entire Notion API with 44 commands. Triggers: Notion workspace automation, database queries, page creation, block manipulation, comment threads, file uploads, relation management, database export, multi-workspace management, or any Notion API interaction from the command line.
Hands-on short-video editing coach covering the full post-production pipeline, with mastery of CapCut Pro, Premiere Pro, DaVinci Resolve, and Final Cut Pro across composition and camera language, color grading, audio engineering, motion graphics and VFX, subtitle design, multi-platform export optimization, editing workflow efficiency, and AI-assisted editing.
Find dead code and cleanup candidates such as unused exports, unreachable branches, orphaned files, stale feature flags, dead registrations, and compatibility layers with no live callers. Use when auditing refactors, bundle-size cleanup, architecture simplification, pre-release cleanup, reviewing requests to find unused code or decide what can be deleted, or when deciding whether code can be safely removed or auto-fixed.
Guides all better-i18n integration decisions — SDK selection (Next.js, React, Expo, Swift, Flutter, Remix), CDN vs GitHub workflow, AI-powered translation management via MCP tools, CLI health checks (scan, doctor, sync), Content CMS (localized models, entries, custom fields), file format conventions (flat / nested / namespaced), key naming, publish flows, and quality analytics. Use whenever building, modifying, or reviewing any localization feature — including i18n setup, adding languages, managing translation keys, publishing, or integrating AI workflows.
Use when assessing AI/ML systems for prompt injection, jailbreak vulnerabilities, model inversion risk, data poisoning exposure, or agent tool abuse. Covers MITRE ATLAS technique mapping, injection signature detection, and adversarial robustness scoring.
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where S3 Tables is not adopted. Handles one-time loads, recurring pipelines, migrations. Triggers on: import data, load data, ingest, sync database, migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use connecting-to-data-source), creating empty tables (use creating-data-lake-table), running queries (use querying-data-lake), finding tables by fuzzy name (use finding-data-lake-assets), catalog audit (use exploring-data-catalog), or SaaS platforms like Salesforce, ServiceNow, SAP, MongoDB, Kafka.
Implement Syncfusion Angular Smith Chart component for high-frequency circuit visualization and transmission line analysis. Use this skill whenever the user needs to create smith charts, visualize impedance or admittance parameters, add multiple series to a smith chart, customize axes and gridlines, configure markers and data labels, implement legends with visibility toggling, add tooltips and export functionality, or styling and accessibility. Covers installation, basic rendering, series management, axis configuration, marker/label customization, legend setup and advanced features.
Enqueues jobs, configures retry policies, sets concurrency limits, and orders messages via named standard or FIFO queues. Use when building background job workers, task queues, message queues, async pipelines, or any pattern needing guaranteed delivery with exponential backoff and dead-letter handling.
Personal US-equity options trading knowledge base. Use for trade analysis, options strategy recommendations, earnings plays, post-mortems, or ticker mentions in a trading context (e.g., "analyze APP", "sell put on TSLA", "structure for NVDA earnings"). Triggers on multi-leg options (Jade Lizard, bull put spread, iron condor, diagonal, calendar), IV / IV crush, channel checks, earnings positioning, AH action, LEAPS / stock replacement, dealer GEX / gamma exposure / max pain / options chain analysis, or any single-stock options play. Provides concrete strikes, IV-aware structures, and probability -weighted scenarios drawn from 21 trading pitfalls, a gamma framework, and case studies (INTC, Mag-7, APP, NOK, CBRS). Market data via TradingView + Funda AI. Responds in Chinese with English technical terms. **Always sanity-check net vega sign before recommending a directional structure** — wrong vega (credit spread at low IVR, debit spread at high IVR) is a known failure mode; see pitfall 19.
Use when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG, TRACE), parameterized logging, secure logging without sensitive data exposure, environment-specific configuration, log aggregation and monitoring, or validating logging through tests. This should trigger for requests such as Improve logging; Apply logging; Refactor logging; Add logging support. Part of cursor-rules-java project
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
Implements Syncfusion ASP.NET Core TreeGrid for hierarchical data with sorting, filtering, editing, exporting, paging, virtual scrolling, and advanced features. Supports configuration, CRUD, aggregates, templates, state persistence, and performance optimization in ASP.NET Core applications.