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deployment-manager
Imported from https://github.com/okgoogle13/careercopilot.
global-tech-stack
Understand and adhere to the project's technology stack including Laravel, PHP, React, PostgreSQL, Pest, Tailwind CSS, and all configured tools and services. Use this skill when making architectural decisions, when choosing libraries or packages, when configuring development tools, when setting up testing frameworks, when implementing authentication, when integrating third-party services, when configuring CI/CD pipelines, when setting up local development environments, or when ensuring consistency with the established tech stack across all parts of the application.
global-tech-stack
Understand and apply project-specific technology choices including frameworks, languages, databases, testing tools, and third-party services to maintain consistency across the stack. Use this skill when making technology decisions, adding new dependencies, choosing libraries/frameworks, configuring build tools, setting up databases, implementing authentication, or integrating third-party services. Apply when working with framework-specific code, package managers, ORM configurations, testing setups, deployment configurations, or any task that requires knowledge of the project's chosen technologies to ensure architectural consistency and avoid introducing conflicting tools or patterns.
deploy
Safe deployment workflow for Fly.io and infrastructure changes. Use before ANY deployment, config modification, or infrastructure change. Prevents panic-driven debugging and production incidents.
devops
A specialized DevOps assistant that helps with CI/CD pipelines, containerization, cloud infrastructure, and deployment automation using tools like Docker, Kubernetes, Terraform, and AWS.
detecting-infrastructure-drift
Use when detecting infrastructure drift from desired state. Trigger with phrases like "check for drift", "infrastructure drift detection", "compare actual vs desired state", or "detect configuration changes". Identifies discrepancies between current infrastructure and IaC definitions using terraform plan, cloudformation drift detection, or manual comparison.
creating-alerting-rules
This skill enables claude to create intelligent alerting rules for proactive performance monitoring. it is triggered when the user requests to "create alerts", "define monitoring rules", or "set up alerting". the skill helps define thresholds, rou...
engineering-culture
Build or refresh engineering culture and produce an Engineering Culture Operating System Pack (capability map, culture code, org↔architecture alignment, clock-speed/DevEx backlog, workflow contract, rollout + measurement). Use for engineering culture, DevOps capabilities, DevEx, clock speed, Conway's Law, and engineering principles. Category: Engineering.
sandbox-guard
Generate Docker sandbox configurations for safely running untrusted OpenClaw skills. Isolates filesystem, network, and process access.
setup-auditor
Audit your OpenClaw environment for credential leaks, unsafe defaults, and missing sandbox configuration. Wizard-style: answers questions about your setup and produces a fix checklist.
credential-scanner
Scan your project for exposed credentials, API keys, and secrets before running OpenClaw skills. Prevents accidental exfiltration.
cli
Prefect CLI commands for mutations. The MCP server is read-only - use this skill when you need to trigger deployments, cancel flow runs, create automations, or modify Prefect resources.
deployment-workflows
CI/CD pipelines, zero-downtime deployments, infrastructure as code, and production deployment strategies
nextjs-turborepo
Full-stack web development with Next.js and Turborepo. Stack: Next.js 14+ (App Router, RSC, Server Actions, PPR, SSR, SSG, ISR), Turborepo (monorepo, pipelines, remote caching), RemixIcon (3100+ icons). Capabilities: server components, API routes, middleware, caching strategies, build optimization, monorepo management. Actions: create, build, deploy, optimize Next.js apps, setup monorepo, configure caching. Keywords: Next.js, App Router, Server Components, RSC, Server Actions, SSR, SSG, ISR, PPR, Turborepo, monorepo, remote cache, build pipeline, parallel execution, workspace, pnpm, icons. Use when: building Next.js apps, implementing SSR/SSG, setting up monorepos, optimizing build performance, configuring caching strategies, managing shared dependencies.
devops-patterns
DevOps patterns for infrastructure, CI/CD, and deployment automation. Use when configuring Docker containers, CI/CD pipelines, cloud deployments, Kubernetes, and monitoring. Covers GitHub Actions, Docker, Vercel, Railway, AWS, Terraform, and observability.
config-validator
Validate wavecapsdr.yaml configuration files for syntax errors, schema violations, and logical inconsistencies. Use when editing config, troubleshooting startup failures, or verifying recipe/preset definitions before deployment.
testcontainers-go
A comprehensive guide for using Testcontainers for Go to write reliable integration tests with Docker containers in Go projects. Supports 62+ pre-configured modules for databases, message queues, cloud services, and more.
site-reliability-engineer
Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus, Grafana, Datadog, New Relic, ELK stack, logs, metrics, traces, on-call, production monitoring, health checks, uptime, availability, dashboards, post-mortem, incident management, runbook. Completes SDD Stage 8 (Monitoring) with comprehensive production observability: - SLI/SLO definitions and tracking - Monitoring stack setup (Prometheus, Grafana, ELK, Datadog, etc.) - Alert rules and notification channels - Incident response runbooks - Observability dashboards (logs, metrics, traces) - Post-mortem templates and analysis - Health check endpoints - Error budget tracking Use when: user needs production monitoring, observability platform, alerting, SLOs, incident response, or post-deployment health tracking.
model-trainer
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
openshift-popeye-analysis
OpenShift-specific cluster health analysis and troubleshooting based on Popeye's issue detection patterns. Use this skill when: (1) Analyzing OpenShift cluster operators and platform health (2) Troubleshooting Security Context Constraints (SCC) violations (3) Diagnosing BuildConfig, ImageStream, and Route issues (4) Analyzing Projects, Quotas, and resource management (5) Validating OpenShift-specific security configurations (6) Monitoring OpenShift networking (Routes, Routers, OVNKubernetes) (7) OpenShift performance and reliability analysis (8) ARO/ROSA managed service troubleshooting (9) OpenShift CI/CD pipeline issues (Builds, Deployments) (10) Operator Lifecycle Manager and Operator issues
k8s-security
Kubernetes and OpenShift security assessment, hardening, and compliance. Use this skill when: (1) Auditing cluster or workload security posture (2) Implementing Pod Security Standards/Admission (3) Configuring RBAC roles and permissions (4) Setting up NetworkPolicies for zero-trust (5) Managing Secrets securely (encryption, external secrets) (6) Scanning images for vulnerabilities (7) Implementing OCP SecurityContextConstraints (8) Compliance checking (CIS benchmarks, SOC2, PCI-DSS) (9) Security incident investigation (10) Hardening cluster components
moai-domain-database
Enterprise database architecture specialist with PostgreSQL 17, MySQL 8.4 LTS, MongoDB 8.0, Redis 7.4 expertise. Master connection pooling, query optimization, caching strategies, and database DevOps automation. Build scalable, resilient database systems with comprehensive monitoring and disaster recovery.
moai-lang-python
Enterprise-grade Python expertise with production patterns for Python 3.13.9, FastAPI 0.115.x, Django 5.2 LTS, Pydantic v2, SQLAlchemy 2.0; activates for API development, ORM usage, async patterns, testing frameworks, and production deployment strategies.
superior-trade-api
Interact with the Superior Trade API to backtest and deploy trading strategies on cloud Kubernetes — no coding required from the user. The agent writes the strategy code, runs backtests, and deploys live trading bots. Use when the user wants to create, backtest, or deploy trading strategies, manage exchange credentials, monitor deployments, or check backtest results.