DevOps & Infra

gktuoktay Skill

Deployment, CI/CD, altyapı yönetimi (IaC) ve bulut süreçlerini yöneten ana orkestratör. Gerektiğinde alt skill'leri otomatik çağırır.

gktuoktay Skill

Yeni projelere başlarken CLI araçlarını kullanarak klasör mimarisini, Docker ve temel ayarları otomatik kuran orkestratör.

wondermonger-daydreaming Skill

Mathematical thinking as a craft and generative discipline, not computation or proof-checking. Deploy when a mathematical object or question is present and the user wants to *understand* rather than merely *solve*. Use for: seeing into a theorem rather than verifying it; choosing the right definition before the proof; example-hunting (minimal, extreme, pathological); invariant-seeking; representation change; structural dissolution (Grothendieck); analogy across domains; dwelling productively in confusion; treating elegance as evidence. Triggers on: mathesis, think like a mathematician, mathematical imagination, why is this true, the right definition, Thurston, Grothendieck, Polya, Poincaré, prove this in a way that explains, make this obvious, what is this problem really about. Companion to /close-reading. Do NOT use for: straightforward computation, textbook exercises, numerical evaluation, code debugging.

wondermonger-daydreaming Skill

The technique of hiding adjacency-grammar inside Aristotelian shells. When a user wants genre fiction, plot-driven narrative, or structurally conventional work but would benefit from adjacency-grammar at key emotional moments, deploy the smuggler's strategy: conflict-plot on the surface, kishōtenketsu-placement at the emotional pivots. Models Oda, Togashi, Miura, Yukimura, Miura, Sebald's smuggling practices. Triggers on: 'give this emotional weight', 'make this land', 'write a battle scene that matters', 'genre fiction with depth', 'how do I add emotional payload', or any request where surface is conflict-driven but the reader's attachment needs adjacency-grammar's specific capacities.

ahtishamshahzad Skill

Use to plan backend deployment — target selection, environment config/secrets, build artifact (container) discipline, migration-on-deploy ordering, zero-downtime rollout with health checks, worker/scheduler deployment, and rollback. Deploys require approval.

ahtishamshahzad Skill

Use to choose deployment targets per application — managed PaaS, container platform, serverless, static/edge hosting, mobile stores — based on app type, ops capacity, scaling, and cost. Evaluates rather than defaulting; a stack decision requiring approval. Does not provision infrastructure.

ahtishamshahzad Skill

Use as the pre-launch go/no-go checklist — confirming tests/security passed, config/secrets/migrations/backups/monitoring/rollback/incident-response are all in place before a production deploy. Aggregates readiness signals; the release gate. Approval required to ship.

ahtishamshahzad Skill

Use to plan a Turborepo setup after it's chosen — task pipeline definition (dependsOn), input/output declarations for correct caching, affected-only execution, and CI integration. Plans configuration; does not scaffold apps.

ahtishamshahzad Skill

Use to plan schema-migration discipline — versioned immutable migration files, review of generated SQL, deploy-time ordering, zero-downtime expand/contract changes, rollback reality, and environment drift prevention. Data backfills are the data-migration skill.

majesticlabs-dev Bundle

Deploy and operate Rails applications with Kamal 2. Use when configuring deploy.yml, kamal-proxy, registries, secrets, accessories, server preparation, or container deployment troubleshooting.

majesticlabs-dev Bundle

Design executable data contracts and validation behavior across records, DataFrames, warehouse models, and pipeline boundaries. Use when enforcing schemas, nullability, uniqueness, ranges, relationships, business rules, schema evolution, quarantine, or validation failure policy.

majesticlabs-dev Bundle

Diagnose B2B pipeline health, challenge a forecast, and run recurring pipeline reviews using coverage, conversion, velocity, deal age, and stage evidence. Use when assessing quota risk, slipped deals, forecast confidence, or pipeline bottlenecks.

majesticlabs-dev Bundle

Design reliable batch or incremental data pipelines with explicit grain, load strategy, idempotency, checkpoints, late-data handling, backfills, storage layout, and reconciliation. Use when planning ETL, ELT, CDC, file-based, or PostgreSQL-backed data movement before implementation.

majesticlabs-dev Bundle

Design tests and fixtures for data pipelines across transformation, contract, integration, incrementality, replay, and reconciliation behavior. Use when verifying ETL or ELT code, dbt models, schema changes, backfills, late data, idempotency, or failure recovery.

zakirkun Bundle

Detects GitHub Actions workflow files that interpolate untrusted event data into run steps, enabling CI/CD pipeline injection.

kilo-org Bundle

Apache Flink stream processing expertise for stateful computations over bounded and unbounded streams. Use when the user mentions Flink, Flink SQL, Table API, DataStream API, CDC, Kafka-to-Flink pipelines, checkpoints, savepoints, watermarks, windows, Flink Kubernetes Operator, or Flink integrations with Iceberg, Paimon, or Fluss.

kilo-org Bundle

Queries, manages, and troubleshoots Apache Airflow using the af CLI. Covers listing DAGs, triggering runs, reading task logs, diagnosing failures, debugging DAG import errors, checking connections, variables, pools, and monitoring health. Also routes to sub-skills for writing DAGs, debugging, deploying, and migrating Airflow 2 to 3. Use when user mentions "Airflow", "DAG", "DAG run", "task log", "import error", "parse error", "broken DAG", or asks to "trigger a pipeline", "debug import errors", "check Airflow health", "list connections", "retry a run", or any Airflow operation. Do NOT use for warehouse/SQL analytics on Airflow metadata tables — use analyzing-data instead.

kilo-org Bundle

AWS Cognito user authentication and authorization service. Use when setting up user pools, configuring identity pools, implementing OAuth flows, managing user attributes, or integrating with social identity providers.

kilo-org Bundle

Dagster is a data pipeline orchestrator built around the concept of software-defined assets. Learn to define assets, ops, jobs, schedules, sensors, and resources for building maintainable data platforms.

kilo-org Bundle

Manages identity and access control for Google Cloud resources using IAM policies and roles.

kilo-org Bundle

This skill should be used for read-only Amazon Redshift exploration and business analysis via the AWS Data API.

kilo-org Bundle

How to use the Soda CLI for data quality management — authentication, datasources, datasets, contracts, monitors, results, secrets, permissions, and CI/CD integration. Use when working with Soda, data quality, or the sodacli command.

kilo-org Bundle

Azure Data Factory (ADF) CI/CD, deployment, and pipeline development. PROACTIVELY activate for: (1) ADF CI/CD setup (npm validation, ARM template export), (2) ADF ARM template deployment, (3) ADF npm build validation in CI, (4) PrePostDeploymentScript for trigger and resource cleanup, (5) ADF GitHub Actions workflows, (6) ADF Azure DevOps pipelines, (7) ADF Git integration (collaboration vs publish branch), (8) parameterizing linked services and datasets across environments, (9) ADF triggers (schedule, tumbling window, event), (10) deployment slots and blue-green for ADF. Provides: complete CI/CD YAML for GitHub Actions and Azure DevOps, PrePostDeploymentScript reference, parameterization patterns, and trigger management recipes.

kilo-org Bundle

Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.

kilo-org Bundle

Explains core Apache Beam programming model concepts including PCollections, PTransforms, Pipelines, and Runners. Use when learning Beam fundamentals or explaining pipeline concepts.

kilo-org Bundle

Guides and best practices for working with Neon Serverless Postgres. Covers setup, connection methods, branching, autoscaling, scale-to-zero, read replicas, connection pooling, Neon Auth, and the Neon CLI, MCP server, REST API, TypeScript SDK, and Python SDK. Use when users ask about "Neon setup", "connect to Neon", "Neon project", "DATABASE_URL", "serverless Postgres", "Neon CLI", "neonctl", "Neon MCP", "Neon Auth", "@neondatabase/serverless", "@neondatabase/neon-js", "scale to zero", "Neon autoscaling", "Neon read replica", or "Neon connection pooling".

kilo-org Bundle

Use when designing or operating Snowpipe disaster recovery on Azure ADLS Gen2 — choosing between dual-pipe, RA-GRS, active-active, or Failover Group patterns, and running failover/failback/catchup. Triggers: snowpipe BCDR, snowpipe disaster recovery, snowpipe failover, dual pipe, active-active pipe, RA-GRS snowpipe, GZRS snowpipe, snowpipe catchup, pipe failback, snowpipe high availability, failover group snowpipe, snowpipe RPO RTO.

kilo-org Bundle

Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill.

kilo-org Bundle

Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as DataFrames and joining across sources. TRIGGER when: user mentions DataFrame, parquet, csv, "fast pandas", "speed up pandas", or cross-source DataFrame joins; user imports `chdb.datastore` or `from datastore import DataStore`. SKIP this skill for raw SQL syntax (use chdb-sql instead), ClickHouse server administration, or non-Python DataStore API work.

kilo-org Bundle

This skill should be used to retrieve and cite current official Microsoft documentation for Azure, .NET, Microsoft 365, Windows, or Power Platform concepts, tutorials, configuration, limits, and quotas. It should defer implementation work to a product-specific skill and code/API examples to microsoft-code-reference.

kilo-org Bundle

Guidance for Azure Key Vault — securely storing and managing secrets, keys, and certificates with RBAC, network isolation, managed identity access, soft delete / purge protection, and rotation. Covers when to use standard Key Vault vs Managed HSM (FIPS 140-3 Level 3), one-vault-per-app blast radius principle, and Key Vault references in App Service / Functions. WHEN: Azure Key Vault, store secrets, manage certificates, encryption keys, secret rotation, Key Vault RBAC, purge protection, soft delete, private endpoint Key Vault, managed identity access secrets, Managed HSM, Key Vault references, BYOK CMK. DO NOT USE for certificate authority design (use pki-design), entra app credentials only (use entra-id), or PaaS networking topology (use azure-network-security-design).

kilo-org Bundle

Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.

kilo-org Bundle

Expert knowledge for Azure Data Share development including troubleshooting, decision making, security, configuration, and deployment. Use when estimating Data Share costs, managing invitations/RBAC, cross-region deployments, dataset mapping, or automation, and other Azure Data Share related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure Import Export (use azure-import-export), Azure Open Datasets (use azure-open-datasets), Azure Data Explorer (use azure-data-explorer).

kilo-org Bundle

Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakeflow/Lakebase, SQL warehouses, Model Serving, or Lakehouse Federation, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).

kilo-org Bundle

Expert knowledge for Azure Event Hubs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Kafka clients/Streams, .NET SDK, Flink/Spark, geo-DR/replication, or Auto Inflate scaling in Event Hubs, and other Azure Event Hubs related development tasks. Not for Azure Service Bus (use azure-service-bus), Azure Event Grid (use azure-event-grid), Azure Notification Hubs (use azure-notification-hubs), Azure Stream Analytics (use azure-stream-analytics).

kilo-org Bundle

Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".