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Topic: ai

10,359 skills in this topic.

cloud-skill Cloud infrastructure with AWS, Azure, GCP - architecture, services, security, and cost optimization.
pluginagentmarketplace/custom-plugin-devops 2
configuration-management Infrastructure configuration with Ansible, Chef, Puppet, and SaltStack for automated server management
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linux-fundamentals-skill Complete Linux administration skill covering process management, filesystem, permissions, package management, users, bash scripting, and system monitoring.
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logging Centralized logging with ELK Stack, Loki, Fluentd, and log analysis for distributed systems
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networking-skill Network protocols and troubleshooting - TCP/IP, DNS, HTTP/HTTPS, SSH, firewalls.
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observability Distributed tracing with Jaeger, OpenTelemetry, and observability platforms for microservices insights
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security DevSecOps practices including secrets management, SSL/TLS, vulnerability scanning, and compliance
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serverless Serverless computing with AWS Lambda, Azure Functions, Google Cloud Functions, and edge computing
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service-mesh Service mesh technologies including Istio, Linkerd, Consul, and Envoy for microservices communication
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containers-skill Docker and Kubernetes - containerization, orchestration, and production deployment.
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gitops GitOps practices with ArgoCD, FluxCD, and declarative infrastructure management
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iac-skill Infrastructure as Code with Terraform, Ansible, and CloudFormation.
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monitoring-skill Monitoring and observability with Prometheus, Grafana, ELK Stack, and distributed tracing.
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scripting DevOps scripting with Bash, Python, and Go for automation, tooling, and infrastructure management
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version-control Git version control, branching strategies, GitHub/GitLab workflows, and collaborative development
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single-cell-rna-qc Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
biocontext-ai/skill-to-mcp 21
help Provides information about using the skill-to-mcp server and how to install additional skills
biocontext-ai/skill-to-mcp 21
mcp-stata
tmonk/mcp-stata 46
mcp-stata
tmonk/mcp-stata 46
stata-mcp Run or debug Stata workflows through the local io.github.tmonk/mcp-stata server. Use when users mention Stata commands, .do files, r()/e() results, dataset inspection, Stata graph exports, or data browsing with sorting/filtering.
tmonk/mcp-stata 46
jta Translate JSON i18n files to multiple languages with AI-powered quality optimization. Use when user mentions translating JSON, i18n files, internationalization, locale files, or needs to convert language files to other languages.
ckanner/agent-skills 21
prompt-optimizer This skill should be used when users request help optimizing, improving, or refining their prompts or instructions for AI models. Use this skill when users provide vague, unclear, or poorly structured prompts and need assistance transforming them into clear, effective, and well-structured instructions that AI models can better understand and execute. This skill applies comprehensive prompt engineering best practices to enhance prompt quality, clarity, and effectiveness.
ckanner/agent-skills 21
agency-ladder Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework.
breethomas/bette-think 13
agent-workflow Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.
breethomas/bette-think 13