DevOps & Infra

tcvdog Skill

Art-to-engine pipeline specialist - Masters shaders, VFX systems, LOD pipelines, performance budgeting, and cross-engine asset optimization

tcvdog Skill

Expert DevOps engineer specializing in infrastructure automation, CI/CD pipeline development, and cloud operations

tcvdog Skill

Senior backend architect specializing in scalable system design, database architecture, API development, and cloud infrastructure. Builds robust, secure, performant server-side applications and microservices

tcvdog Skill

Expert application security engineer specializing in threat modeling, vulnerability assessment, secure code review, security architecture design, and incident response for modern web, API, and cloud-native applications.

tcvdog Skill

Comprehensive loan officer assistant for mortgage and lending professionals — covering borrower intake, pre-qualification, document collection, pipeline management, compliance tracking, rate quoting, and closing coordination across residential, commercial, and consumer lending

tcvdog Skill

AI agent that consolidates extracted sales data into live reporting dashboards with territory, rep, and pipeline summaries

tcvdog Skill

Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. Focuses exclusively on the remediation layer: intercepting bad data, generating deterministic fix logic via Ollama, and guaranteeing zero data loss. Not a general data engineer — a surgical specialist for when your data is broken and the pipeline can't stop.

tcvdog Skill

Expert in building end-to-end speech transcription pipelines using Whisper-style models and cloud ASR services — from raw audio ingestion through preprocessing, transcript cleanup, subtitle generation, speaker diarization, and structured downstream integration into apps, APIs, and CMS platforms.

luokai0 Bundle

Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.

luokai0 Bundle

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.

luokai0 Bundle

Chunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.

luokai0 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".

luokai0 Bundle

云架构设计助手。设计AWS/GCP/Azure架构、成本优化、高可用。使用场景：(1) 云架构设计，(2) 成本优化，(3) 高可用方案，(4) 安全配置。

luokai0 Skill

Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".

phperkael Bundle

Read-only Kubernetes log and workload investigation skill. Use when users ask an agent to inspect pods, deployments, images, restarts, events, request ids, business ids, or bounded application logs without changing cluster state.

whiner9 Skill

PowerShell scripting rules for Windows environment. Use when running shell commands, Docker operations, or HTTP requests on Windows PowerShell.

digitalexplorers Bundle

Generate Terraform infrastructure and deployment scaffolding for AWS based on the detected project structure, runtime stack, and explicit infrastructure inputs. Use when a developer wants to deploy an application to AWS using Terraform.

bob-reis Skill

PTES Phase 6 - Reporting for AWS security assessments

ivanshamaev Skill

StarRocks query optimization — vectorized execution engine, pipeline execution model, runtime filters (bloom/in/min-max), predicate pushdown, partition pruning, sort merge optimization, query hints (SET_VAR/JOIN hints), session variables for optimizer control, CBO statistics (ANALYZE TABLE/AUTO ANALYZE), query cache, pipeline parallelism tuning

ivanshamaev Skill

Data platform SLA monitoring — freshness SLAs (data available by X:XX), completeness SLAs (row count variance < N%), latency SLAs (pipeline completes within N minutes), SLA breach detection (Prometheus/Soda/SQL), SLA burn rate alerting, SLA reporting dashboards, SLA miss root cause linking, cascading SLA dependencies (upstream delay propagation), SLA definition process, error budget tracking, consumer notification on SLA breach

ivanshamaev Skill

Terraform code review — module structure (main/variables/outputs/modules layout), variable validation blocks, type constraints, sensitive variables, locals vs variables, resource naming conventions, provider version pinning, data sources vs resources, module composition patterns, state management (remote backend S3/GCS), workspace strategy, dependency management (depends_on vs implicit), terraform fmt/validate/tflint checks, DRY with Terragrunt

ivanshamaev Skill

Airflow + StarRocks pipeline orchestration — MySqlHook for DDL/DML, Broker Load trigger + poll pattern, Stream Load via HTTP operator, Routine Load job lifecycle (pause/resume/stop), sensor for load completion, ANALYZE TABLE post-load, partition-aware DAG templating, Airflow variables for StarRocks connection config, XCom label passing

bob-reis Skill

PTES Phase 5 - Exploitation for AWS security assessments using WorstAssume attack chain detection

bob-reis Skill

PTES Phase 1 - Pre-Engagement Interactions for AWS security assessments

bob-reis Skill

PTES Phase 3 - Threat modeling for AWS security assessments

bob-reis Skill

PTES Phase 5 - Post-exploitation for AWS security assessments

bob-reis Skill

PTES Phase 2 - Intelligence gathering for AWS security assessments

bob-reis Skill

PTES Phase 4 - Vulnerability analysis for AWS security assessments using WorstAssume security assessment engine

ivanshamaev Skill

DE pipeline root cause analysis — failure taxonomy, lineage tracing, upstream/downstream impact, log analysis patterns, Airflow/Spark/dbt failure diagnosis, data quality anomaly RCA, 5-Whys template, incident timeline reconstruction, runbook-style investigation checklists

ivanshamaev Skill

Airbyte ELT — source/destination connectors, sync modes (Full Refresh Overwrite/Append, Incremental Append/Deduped), cursor fields, primary keys, catalog/streams, deployment (abctl, Kubernetes Helm, Airbyte Cloud), Connector Builder, Python CDK (HttpStream, IncrementalMixin), normalization (dbt-based, _airbyte_raw_ tables), Airbyte API, Terraform provider, schema evolution, monitoring, Airflow AirbyteTriggerSyncOperator integration

ivanshamaev Skill

Airflow-orchestrated Iceberg lakehouse ETL pipelines — Bronze/Silver/Gold layer DAGs, Iceberg maintenance jobs (optimize/expire_snapshots/remove_orphan_files) as Airflow tasks, snapshot expiration scheduling, compaction DAG patterns, partition-by-partition backfill with dynamic task mapping, late-arriving data handling, watermark tracking table, post-load data quality gates (row count/freshness/null rate checks via TrinoHook), full medallion pipeline DAG example

ivanshamaev Skill

Trino production readiness checklist and review — coordinator HA (active/passive with load balancer), worker autoscaling, TLS/HTTPS configuration, authentication setup, resource groups for multi-tenancy, JVM sizing, spill configuration, fault-tolerant execution for batch workloads, monitoring (Prometheus/alerting), graceful shutdown, backup strategy for Hive Metastore, catalog security, query history retention, log rotation, Kubernetes deployment checklist

ivanshamaev Skill

Compliance readiness for data platforms — SOC2 Type II controls mapping (CC6/CC7/CC8), GDPR data processing requirements (PII inventory/right-to-erasure/data residency), PCI-DSS data platform scope reduction, CIS Benchmarks (Kubernetes/AWS/GCP), audit log completeness (Vault/Kubernetes/cloud trail), data retention and deletion policies, encryption at rest/transit evidence, access review processes, compliance-as-code (OPA policies), vulnerability management (CVE SLA)

ivanshamaev Skill

Kafka cost optimization — tiered storage (S3/GCS remote log offload, local.retention.ms vs retention.ms), topic retention right-sizing (per-topic audit SQL), log compaction economics, partition count right-sizing (over-partitioned cluster detection), consumer group idle cleanup, broker instance right-sizing (disk vs compute), Redpanda vs Confluent Cloud cost comparison, MirrorMaker2 cross-region cost, compression savings calculator

ivanshamaev Skill

Mage AI data pipelines — block types (data loader/transformer/exporter/sensor/custom), pipeline YAML, hybrid SQL+Python blocks, triggers (schedule/event/API), streaming pipelines, dbt integration, Spark integration, Docker/Kubernetes deployment, io_config.yaml, pipeline variables, callbacks, backfills

ivanshamaev Skill

SQLMesh data transformation framework — model kinds (FULL/INCREMENTAL_BY_TIME_RANGE/INCREMENTAL_BY_UNIQUE_KEY/SCD_TYPE_2/VIEW/SEED), plan/apply workflow, virtual environments, state-aware deploys, audits, unit tests, CI/CD, dbt migration