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Found 1,291 Skills
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.
YouTube clip generation and editing with automated workflows — pull source video, slice highlights, add captions, and export.
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 this skill whenever reverse-engineering a Sketch file (or Figma export with similar shape) into pixel-perfect React + CSS — covers the iteration mental model, tree reconstruction, layout inference algorithms, geometry math, visual-regression diffing, and the style/typography/path conversions that make "improvement without regression" enforceable. Trigger even if the user doesn't explicitly mention "algorithms" but is converting a design source into web code, building a design-to-code pipeline, or struggling to make incremental fidelity improvements without breaking previously-converted output.
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
Use this skill when the user asks about Goldsky Edge — the managed RPC endpoint service for EVM chains. Triggers on: 'Edge RPC', 'Goldsky RPC endpoint', 'edge.goldsky.com', 'eth_getLogs is slow', 'RPC rate limit', 'hedged requests', 'flashblocks', 'HyperEVM system transactions', 'x402 pay-per-request RPC', 'Goldsky Edge pricing', 'Edge dashboard', 'gs_edge_ API key', 'rpc-edge'. Also use this skill when the user wants a resilient, low-latency JSON-RPC endpoint for EVM chains (Ethereum, Base, Arbitrum, Optimism, Polygon zkEVM, BSC, Avalanche, Berachain, HyperEVM, Monad, Sei, Sonic, Unichain, zkSync, etc.), is debugging RPC errors like -32005/-32012/-32014/-32015/-32016, or is comparing providers (Alchemy, Infura, QuickNode, Ankr) against Edge. For questions about self-hosting eRPC or custom eRPC configuration beyond what Edge exposes, point them at https://docs.erpc.cloud/llms.txt. Do NOT trigger on Goldsky Mirror, Turbo, or Subgraph pipeline questions — those belong to their respective skills.
DataWorks metadata Skill for Alibaba Cloud — browse Data Map metadata and perform non-destructive writes via Aliyun CLI. READ scope: list/get catalogs, databases, tables, columns, partitions; query data lineage (upstream/downstream impact); list/get datasets & versions; list/get metadata collections (Category/Album) and entities inside them; preview dataset version content. WRITE scope (non-destructive only): update table & column business metadata; register lineage relationships; create/update datasets and versions; create/update metadata collections and add entities to them. This Skill exposes NO delete or remove APIs — every `delete-*` and `remove-*` operation is intentionally out of scope. For deletions, use the DataWorks console. Triggers: "dataworks metadata", "data map", "data lineage", "meta collection", "dataset", "catalog", "table info", "column info", "partition", "impact analysis", "register lineage", "create dataset", "update business metadata".
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.