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Found 13,900 Skills
UI and design review: evaluate visual quality, responsive behavior, accessibility, color/contrast, typography, layout consistency, and i18n readiness using browser-based validation against industrial standards.
Use when adding authentication (login, logout, protected routes) to Fastify web applications - integrates @auth0/auth0-fastify for session-based auth. For stateless Fastify APIs use auth0-fastify-api instead.
Expert technical compliance auditor specializing in SOC 2, ISO 27001, HIPAA, and PCI-DSS audits — from readiness assessment through evidence collection to certification.
Visual effects and material specialist - Masters Unity Shader Graph, HLSL, URP/HDRP rendering pipelines, and custom pass authoring for real-time visual effects
Expert LinkedIn content strategist focused on thought leadership, personal brand building, and high-engagement professional content. Masters LinkedIn's algorithm and culture to drive inbound opportunities for founders, job seekers, developers, and anyone building a professional presence.
Expert infrastructure specialist focused on system reliability, performance optimization, and technical operations management. Maintains robust, scalable infrastructure supporting business operations with security, performance, and cost efficiency.
Draft social media posts to share valuable readings, articles, or resources. Use when user wants to share a link, article, or reading on social media (X/Twitter, Substack, 知识星球), or mentions "分享这篇文章", "share this article", "write a post about this", "推荐一下这个", or provides a URL and asks to write sharing content.
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.
Create a personal GitHub coding retrospective from a date range and turn it into a short Markdown review. Research commit activity across accessible public and private repositories through the authenticated gh CLI, understand what the relevant repositories and subsystems are for, and write a prose retrospective with stats and highlights. Use when the user asks for a commit review, coding recap, engineering retrospective, GitHub activity story, weekly/monthly/yearly highlights, or a written summary of what their commits achieved.
Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something on the web changes — e.g., 'Track price changes for iPhone 16', 'Alert me when Tesla files a new 8-K', 'Monitor competitor pricing pages weekly'. Also use to list, inspect, update, or delete existing monitors.
Describe what an existing SigNoz alert rule does in plain language — the signal it watches, the threshold and evaluation behavior, the notification routing, and a one-line fire-frequency summary so the user knows whether the alert has been active. Make sure to use this skill whenever the user asks "what does this alert do", "explain alert X", "walk me through this rule", "how does my [Y] alert work", "is this alert configured correctly", or otherwise asks for an interpretation of an existing alert's configuration. Static explanation only — for diagnosing a specific firing incident, use `signoz-investigating-alerts`.
Query and aggregation-pipeline optimization rules for Azure DocumentDB — using `explain("executionStats")` to verify index usage and avoid `COLLSCAN`. Use when reviewing a specific query, diagnosing a slow query, or validating that an index is actually being used. For full index-design workflow, see the `documentdb-query-optimizer` skill.