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Found 133 Skills
Analyze meeting load over a time range: total meetings, meeting hours, busiest days, back-to-back chains, and free blocks.
Comprehensive guidance for building web apps with opinionated defaults for tech stack, design system, and code standards. Use when user wants to create a new web application, dashboard, or interactive interface. Provides tech choices, styling guidance, project structure, and design philosophy to get users up and running quickly with a fully functional, beautiful web app.
Intelligent skill retrieval and recommendation system for Claude Code. Uses semantic search, intent analysis, and confidence scoring to recommend the most appropriate skills. Features: (1) Smart skill matching via bilingual embeddings (Chinese/English), (2) Prudent decision-making with three confidence tiers, (3) Historical learning from usage patterns, (4) Automatic health checking and lifecycle management, (5) Intelligent cache cleanup. Use when: User asks to find/recommend a skill, multiple skills might match a request, or skill selection requires intelligent analysis.
Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is accessed through federation mechanisms such as Apache Iceberg, other "zero-copy ETL" methods, or remote query push-down. Use this skill when designing an architecture for efficient analytics across large volumes of structured and unstructured data that's located in multiple systems and environments, including other cloud providers and on-premises.
Trigger: Invoke when you start from scratch with extremely limited resources and need to find the minimum viable entry point first to build a stable base. Common signals include bootstrap, MVP, pilot, first foothold, and small team startup. Trigger when starting from almost nothing and needing a viable foothold before scaling up. Use this skill to build a durable base, start small, and grow from a validated nucleus instead of scattering effort.
Security audit and compliance automation suite with OWASP scanning, CVE detection, GDPR/SOC2 audits, threat modeling, and incident response playbooks
Security & compliance skill suite for OWASP scanning, CVE detection, GDPR/SOC2 auditing, threat modeling, and incident response workflows
Security & compliance skill suite with OWASP scanning, CVE detection, GDPR audits, SOC2 readiness, threat modeling, and incident response workflows
Security & compliance skill suite for OWASP scanning, CVE detection, GDPR/SOC2 audits, threat modeling, and incident response workflows
Free 9-week data engineering course covering Docker, Terraform, Kestra, BigQuery, dbt, Spark, and Kafka with hands-on projects
End-to-end retail ETL pipeline using PySpark, SQL Server, and Medallion Architecture (Bronze/Silver/Gold layers) for data warehousing
Databricks SQL query optimizer: analyzes a slow SQL query, rewrites it for speed using SQL-level optimizations only, validates byte-for-byte result equivalence, and benchmarks both versions with statistical significance testing. Use this skill whenever the user wants to optimize, speed up, tune, or benchmark a SQL query on Databricks. Trigger on: "/databricks-sql-autotuner", "optimize this SQL", "make this query faster", "tune my Databricks query", "benchmark SQL on Databricks", "speed up this spark SQL", "SQL performance on Databricks", "EXPLAIN this query", "why is my query slow on Databricks", "SQL query optimization Databricks", or whenever a user pastes a SQL query and mentions performance, slowness, or runtime.