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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 13,465–13,488 of 19,659 skills
- Implementing Syslog Centralization With RsyslogImplement centralized syslog collection with rsyslog using encrypted transport, structured routing, and reliability controls for security operations.Votes: 0GitHub stars: 72
- Implementing Devsecops Security ScanningImplement and operationalize a full DevSecOps security scanning pipeline that combines secrets detection, SAST, SCA, container scanning, optional DAST, and deterministic security gates in CI/CD.Votes: 0GitHub stars: 72
- BrainstormingSocratic questioning protocol and user communication protocol to uncover requirements, edge cases, and scope.Votes: 0GitHub stars: 72
- ReleasingCut a release of chess-uci-mcp to PyPI and the MCP registry. Use when the user asks to release, publish, ship or tag a new version, or names a version and asks to get it out. Covers preconditions, the version bump across every file that repeats it, tagging, the GitHub release that triggers publishing, and post-release verification of PyPI, the MCP registry and Context7. Never invoke this on your own initiative -- a release is the user's decision to make.Votes: 0GitHub stars: 2
- N8n Self HostingDeploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on their own server/VPS/box (Hetzner, DigitalOcean, AWS EC2, bare metal, etc.) — in either single/regular mode or queue mode with workers — or to update, back up, restore, or harden such an instance. This is for SELF-HOSTED n8n (Docker), not n8n Cloud and not buil...Votes: 0GitHub stars: 30
- Cicd FyUse when setting up, shaping, or auditing a project's CI/CD: a build/test/scan pipeline, a release pipeline, or publishing an artifact (container image, binary, bundle) with SBOM, or signing/attestation. Optionally use the skill to transform a repo's CI/CD to the recommended shape (the cicd-fy mode).Votes: 0GitHub stars: 8
- Project Context SkillReusable skill for the Central Project Context — the shared, persistent knowledge base all companions read before acting and write after deciding. Defines the 14-node tree, a template per node, and the ownership matrix saying which agent writes what and when.Votes: 0GitHub stars: 3
- Project Lombok SkillComprehensive Project Lombok annotations and patterns for reducing Java boilerplate. Covers @Data, @Builder, @Slf4j, @RequiredArgsConstructor, @Value, custom annotations, and best practices for clean, maintainable code.Votes: 0GitHub stars: 3
- Observability SloObservability and reliability engineering — structured logging, metrics, distributed tracing, correlation ids, error tracking, dashboards, SLIs/SLOs and error budgets, alerting that pages on symptoms rather than causes, on-call practice, incident response and blameless postmortems. Use when the user says "logging", "monitoring", "observability", "metrics", "tracing", "Prometheus", "Grafana", "Datadog", "Sentry", "OpenTelemetry", "SLO", "SLA", "uptime", "alerting", "on-call", "incident", "post...Votes: 0GitHub stars: 3
- Devops PlatformPlatform and delivery engineering — CI/CD pipelines, infrastructure as code, containers, environment parity, deployment strategies (blue/green, canary, rolling), rollback, secrets management, disaster recovery, autoscaling and cloud cost control. Use when working on pipelines, Dockerfiles, Terraform, Kubernetes, GitHub Actions, deployment or hosting; when the user says "CI", "CD", "pipeline", "deploy", "Docker", "Kubernetes", "Terraform", "infrastructure", "staging", "rollback", "downtime", "...Votes: 0GitHub stars: 3
- Jaw Dev DevopsMUST USE for infrastructure and delivery work — container builds, deploy pipelines, Kubernetes, Infrastructure as Code, SRE foundations, edge/serverless, ML infrastructure. Triggers: Dockerfile, K8s manifests, CI/CD pipeline, Terraform/IaC, release/deploy, devops/infra/deploy or release_cd task_tags.Votes: 0GitHub stars: 4
- Rules ManagerCreate, edit, and maintain AGENTS.md and .agents/rules/. Use when adding, modifying, restructuring, or optimizing project rules, conventions, or constraints.Votes: 0GitHub stars: 3
- PlanTurn an analyzed request into an implementation-ready plan, optionally backed by a GitHub issue. Use when the user invokes $plan or continues the APEX workflow.Votes: 0GitHub stars: 3
- Codex Review对抗式计划审查 — P 阶段 CC↔Codex 多轮审查Votes: 0GitHub stars: 188
- Cfn OpsOperations-design phase. Design the production surface UP FRONT: threat model (STRIDE), observability (logs/metrics/traces), rollout (flags/canary), success metrics/KPIs, failure modes (FMEA), capacity/cost, rollback rehearsal, runbook. Use in cfn-megaplan for beta+ tiers so 'how it runs in prod and how we know it worked' is designed, not review-checkboxed.Votes: 0GitHub stars: 14
- Cfn MonitorPost-deploy runtime health gate and incident triage runbook. Probes HTTP endpoints for status and latency, emits JSON summary, exits nonzero on any failure. Use after every deploy as a go/no-go gate. Stateless single-shot; see cfn: marker for the continuous-polling upgrade path.Votes: 0GitHub stars: 14
- Cfn E2eMUST BE USED instead of running Playwright tests directly in WSL2. Parallel E2E execution, auto-batches tests (fast/medium/large) to avoid OOM on memory-constrained WSL2. Use for Playwright/E2E test runs.Votes: 0GitHub stars: 14
- Cfn CarefulPreToolUse hook. Warns before destructive bash commands (rm -rf, DROP TABLE, git push --force, etc). Activates via /careful. Whitelists safe deletions (node_modules, .next, dist).Votes: 0GitHub stars: 14
- Cfn CanaryMUST BE USED within 10 minutes of any production deployment. Post-deploy health monitoring: polls a URL for 10 minutes checking errors, performance regressions, availability.Votes: 0GitHub stars: 14
- Databricks PipelinesDevelop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.Votes: 0GitHub stars: 333
- Databricks Ml TrainingTrain ML models on Databricks. Use for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-backed), custom PyFunc, custom ResponsesAgent (LangGraph + UC Function/Vector Search); UC feature tables + FeatureLookup + point-in-time joins + Lakebase online store; declarative Feature Views (create_feature, DeltaTableSource, RollingWindow/SlidingWindow/T...Votes: 0GitHub stars: 333
- Databricks Lakeflow ConnectBuild managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; PostgreSQL/MySQL CDC in PuPr) into Unity Catalog with serverless pipelines.Votes: 0GitHub stars: 333
- Databricks JobsDevelop 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.Votes: 0GitHub stars: 333
- Databricks DabsCreate, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.Votes: 0GitHub stars: 333