DevOps & Cloud
4,382 results
- Design BetterbuildgreatproductsUse when the user is building or refactoring UI in their product codebase and wants designer-quality frontend code — not just functional code. Triggers on phrases like "design better", "make this UI feel more designed", "elevate the design quality", "build this with design best practices", "follow UX heuristics", "make this feel professional", "apply design polish", "review this for craft", or…
- MergemelvynxIntelligently merge branches with context-aware conflict resolution
- Ai ReadyJohn Papa**ANALYSIS SKILL** — Analyze any repository and generate AI-ready configuration — a canonical AGENTS.md, thin per-tool pointer files, skills, CI workflows, issue templates. WHEN: "make this repo ai-ready", "set up AI config", "add copilot instructions", "prepare this repo for AI contributions", "generate AGENTS.md". INVOKES: glob, grep, view, create, edit for repo analysis and file generation.
- johnpapa/ai-readyJohn PapaCollectionAgent Skill that analyzes your repo and generates the AI-ready configuration coding agents need — AGENTS.md, copilot-instructions, CI, issue templates, and more. Works in Claude Code, GitHub Copilot, Codex, and Cursor.
- Keep The WhyOliver ZehentleitnerIn a project with a .keep-the-why, or when asked about Keep the Why or to set it up - extract and preserve the reasoning code cannot explain - decisions, rejected alternatives, workarounds, incidents, constraints - plus project setup and maintainer interviews. Not for what changed (see Keep a Changelog) - only why.
- Alert Manageraaron-he-zhuSets up and manages alerts for critical SEO and GEO metrics including ranking drops, traffic changes, technical issues, and competitor movements. Enables proactive monitoring and quick response to issues.
- Backlink Analyzeraaron-he-zhuAnalyzes backlink profiles to understand link authority, identify toxic links, discover link building opportunities, and monitor competitor link acquisition. Essential for off-page SEO strategy.
- Hyperliquid TradinginfinitefieldTrade perpetuals and spot markets on Hyperliquid. Place limit and market orders, cancel orders, and check positions. Use this skill when you need to execute trades, manage orders, or monitor trading positions.
- Rank Trackeraaron-he-zhuTracks and analyzes keyword ranking positions over time for both traditional search results and AI-generated responses. Monitors ranking changes, identifies trends, and alerts on significant movements.
- 3gpp Expertlugasia3GPP telecommunications expert covering all generations (2G–6G), releases (Rel-99 to Rel-21), protocol stacks, architecture, and deployment. Use whenever the user mentions: 3GPP, GSM, GPRS, EDGE, UMTS, WCDMA, HSPA, LTE, LTE-Advanced, 5G, NR, 5G-Advanced, 6G, NTN, RedCap, MIMO, beamforming, carrier aggregation, network slicing, SBA, RAN, RRC, NAS, PDCP, RLC, MAC, SDAP, PHY, OFDMA, QoS, IMS…
- Accidental Data Loss PreventionGoogle Cloud Platform**STOP AND VERIFY**: Before running any command or tool that results in irreversible data loss, you MUST obtain explicit user consent. When in doubt, ask. It is better to wait for confirmation than to accidentally delete production data or critical project assets. Use this for: - SQL: DROP TABLE/VIEW/SCHEMA/DATABASE, TRUNCATE, or broad DELETE (missing WHERE or using 1=1).
- Building Data AppsGoogle Cloud PlatformBuild modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit. Includes optional Gemini Data Analytics chat integration for an AI powered "chat with your data" experience. Relevant when any of the following conditions are true: 1.
- Dak SetupGoogle Cloud PlatformConfigures (or reconfigures) the Google Cloud Data Agent Kit (DAK) plugin by checking gcloud and ADC credentials, collecting the GCP project ID, region, and services, and running its bundled `dak-setup` script.
- Data AutocleaningGoogle Cloud PlatformAutomated data quality and transformation capabilities for Dataform/dbt/BigQuery pipelines. Processes data sourced from BigQuery or Cloud Storage (GCS), applying best practices for data ingestion, movement, schema mapping, and comprehensive data cleaning.
- Discovering Gcp Data AssetsGoogle Cloud PlatformFinds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery datasets, tables, or views - BigLake catalog or tables - Spanner instances, databases or tables - etc. 2.
- Enforcing Resource AttributionGoogle Cloud PlatformEnforces resource attribution for CLI commands. Use this skill whenever you are running `bq` or `gcloud` commands via `run_command`. It ensures mandatory labeling for supported `bq` operations while avoiding invalid flags on read-only commands.
- Federate Lakehouse CatalogGoogle Cloud PlatformSets up Google Cloud Lakehouse federated catalogs to remote Iceberg REST Catalogs. Currently supported catalogs: Databricks Unity, AWS Glue. Supported clouds hosting those catalogs: GCP, AWS. The primary use case is connecting to remote data to query it from GCP engines (BigQuery, Spark).
- Gcp Composer TroubleshootingGoogle Cloud PlatformProvides expert guidance for troubleshooting Cloud Composer (Apache Airflow) and Orchestration pipelines. Use this skill when the user asks to generate Root Cause Analysis (RCA), troubleshoot or fix a failed pipeline, DAG in Composer environment and generate RCA report.
- Gcp Data PipelinesGoogle Cloud PlatformPrimary entry point for building, managing, and orchestrating data pipelines on Google Cloud. Guides users to the appropriate skill for dbt, Dataflow (Apache Beam), Dataform, Spark (Dataproc Serverless), BigQuery Data Transfer Service (DTS) or orchestration pipeline using Cloud Composer. Clarify requirements and resolve ambiguity for creating, updating and running data pipelines.
- Gcp DataflowGoogle Cloud PlatformGuides writing, packaging, executing, and troubleshooting Apache Beam pipelines on Dataflow. Use when creating new pipelines, configuring Flex Templates, or analyzing performance of Dataflow jobs. Capabilities include Java/Python/Go setup, Cloud Build integration, and deep diagnostic analysis of job health and autoscaling. Use when: - Creating an Apache Beam Dataflow pipeline.
- Gcp Managed Airflow Dag AuthoringGoogle Cloud PlatformGuides the authoring and validation of Apache Airflow DAGs for Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when creating or extending an Airflow DAG. Don't use when authoring Python code unrelated to Airflow DAGs.
- Gcp Managed Airflow MigrationsGoogle Cloud PlatformProvides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers migration to Airflow 2.11.1 (MSAA Gen 2 and 3) and Airflow 3 (MSAA Gen 3), including environment inspection, GCS download/upload and scanning patterns for breaking changes.
- Gcp Managed Airflow RecommendationsGoogle Cloud PlatformProvides recommendations and best practices for creating, configuring, tuning and optimizing Managed Service for Apache Airflow (MSAA, Cloud Composer) environments. Use when the user asks for guidance, recommendations, or best practices on configuring Cloud Composer, scaling Airflow environments, preventing workload restarts, or analyzing system health.
- Gcp Pipeline OrchestrationGoogle Cloud PlatformThis skill helps the agent generate or update orchestration pipeline definitions for Google Cloud Composer to initialize orchestration pipeline or update the orchestration definition for orchestration of various data pipelines, like dbt pipelines, notebooks, Spark jobs, Dataform, Python scripts or inline BigQuery SQL queries. This skill also helps deploy and trigger orchestration pipelines.