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Found 1,152 Skills
Use when user explicitly asks Flink/Ververica/Realtime Compute Console workspace operations: 草稿(draft), SQL校验/执行, 部署(deployment), 作业(job), Session Cluster, namespace, 表(table), 成员(member), 变量(variable), 或 checkpoint timeout 诊断, especially with workspace/deployment/job IDs (w-*, d-*, j-*, sc-*, draft-*). Also use when prompt asks to test/verify Flink Console lifecycle flow, safety guardrails, or parameter validation for these operations. This includes prompts such as create draft, deploy draft, list deployments, start/stop job, create/list session cluster, get tables, list variables. Also use when prompt explicitly asks to run `python scripts/flink_ververica_ops.py` for Flink Console workspace operations. Do not trigger for unrelated "workspace" contexts or generic cloud/platform tasks (ECS, OSS, RDS, Kafka, Spark, Kubernetes, billing, weather). Do not trigger for Flink instance lifecycle operations (create/scale/delete/renew); those belong to alibabacloud-flink-instance-manage.
Workload-aware architecture design for Apache Doris. MUST USE when designing data architectures, choosing between data models, planning ingestion strategies, sizing clusters, or translating business requirements into Apache Doris system designs. Complements doris-best-practices with decision frameworks and sizing-first workflow. Use when user describes a workload involving: IoT, sensor data, telemetry, real-time analytics, dashboard, log analysis, log search, CDC sync, time-series, device monitoring, point query service, ad-hoc analytics, lakehouse federation, ETL/ELT pipeline, report analytics, clickstream, user behavior, observability, metrics, fleet tracking, or any OLAP workload requiring table design from scratch. Also triggers on prompts like: "design a table for...", "how should I store...", "build an architecture for...", "we have X devices sending data every Y seconds", "recommend a cluster size for...", "what data model should I use for...", "we need to ingest X GB/day", "migrate from MySQL/PostgreSQL to Apache Doris". Also use for legacy analytics/search/serving stack consolidation prompts even when Apache Doris is not named explicitly, including replacing or migrating from Impala, Kudu, Elasticsearch/ES, Greenplum, Presto, HBase, Hive, Hadoop, Redis, or Lambda-style multi-engine data platforms.
Every Semrush Analytics + Projects feature, plus a local SQLite store and cross-domain joins no other Semrush tool has. Trigger phrases: `show me what changed for <domain> this week`, `find the keyword gap between <my domain> and <competitor>`, `show me new referring domains for <domain>`, `triage my Site Audit`, `what did Semrush cost me this month`, `detect keyword cannibalization on <domain>`, `track SERP feature changes for <keyword>`, `use semrush`, `run semrush`.
Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration.
This skill provides comprehensive knowledge for integrating Neon serverless Postgres and Vercel Postgres (which is built on Neon infrastructure) into web applications. It should be used when setting up serverless Postgres databases, configuring connection pooling for edge and serverless environments, implementing database branching workflows, or troubleshooting Postgres connection issues in Cloudflare Workers, Vercel Edge Functions, or Node.js serverless functions. Use this skill when: - Setting up Neon Postgres for Cloudflare Workers, Vercel Edge, or serverless environments - Configuring Vercel Postgres for Next.js applications - Implementing database branching workflows (git-like database branches) - Integrating Drizzle ORM or Prisma with Neon/Vercel Postgres - Debugging connection pool errors, transaction timeouts, or SSL configuration issues - Migrating from D1/SQLite to Postgres or from traditional Postgres to serverless Postgres - Setting up point-in-time restore (PITR) or database backups - Encountering errors like "connection pool exhausted", "TCP connections not supported in serverless", or "sslmode required" Keywords: neon postgres, @neondatabase/serverless, @vercel/postgres, serverless postgres, postgres edge, neon branching, vercel database, http postgres, websocket postgres, pooled connection, drizzle neon, prisma neon, postgres cloudflare, postgres vercel edge, sql template tag, neonctl, database branches, point in time restore, postgres migrations, serverless sql, edge database, neon api, vercel sql
MongoDB - NoSQL document database with flexible schema design, aggregation pipelines, indexing strategies, and Spring Data integration
Static analysis security vulnerability scanner for Ruby on Rails applications. Use when analyzing Rails code for security issues, running security audits, reviewing code for vulnerabilities, setting up security scanning in CI/CD, managing security warnings, or investigating specific vulnerability types (SQL injection, XSS, command injection, etc.). Also use when configuring Brakeman, reducing false positives, or integrating with automated workflows.
Automatically generate complete Python project deliverables from natural language requirements through collaboration among four virtual roles: autonomous learning, PM, architect, and senior programmer. Supports feature expansion, project refactoring, and skill invocation. Also supports web search, knowledge integration, version control, Python 3.11+ features, UV package management, loguru logging, and project size adaptation (folder/single file). It provides support for database design and implementation (SQLite, PostgreSQL, MongoDB, vector databases, graph databases), data layer abstraction (Repository pattern), and database switching. Suitable for scenarios such as software requirement clarification, rapid prototyping, project initialization, feature expansion, and code refactoring.
Creates Robot Framework test cases for SnapLogic account creation. Use when the user wants to create accounts (Oracle, PostgreSQL, Snowflake, Kafka, S3, etc.), needs to know what environment variables to configure, or wants to see account test case examples.
Ghost Security - SAST code scanner. Finds security vulnerabilities in source code by planning and executing targeted scans for issues like SQL injection, XSS, BOLA, BFLA, SSRF, and other OWASP categories. Use when the user asks for a code security audit, SAST scan, vulnerability scan of source code, or wants to find security flaws in a codebase.
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".
Design and architect Goldsky Turbo pipelines. Use this skill for 'should I use X or Y' decisions: kafka source vs dataset source, streaming vs job mode, which resource size (xs/s/m/l/xl/xxl) for my workload, postgres vs clickhouse vs kafka sink, fan-in vs fan-out data flow, one pipeline vs many, dynamic table vs SQL join, how to handle multi-chain deployments. Also use when the user asks 'what's the best way to...' for a pipeline design problem, or is unsure how to structure their pipeline before building it.