Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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test-driven-development
Write failing test first, then minimal code to pass. Red-Green-Refactor cycle.
Use when: implementing features, fixing bugs, refactoring code.
Triggers: "implement", "add feature", "fix bug", "tdd", "test first",
"write tests", "test-driven".
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deploy-automation
One-click deploy to production. User just says "deploy".
Use when: user wants to publish their app.
Triggers: "deploy", "publish", "go live", "опубликуй".
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browser-extension
Build browser extensions with WXT framework, Manifest V3, and TypeScript.
Use when: creating Chrome extension, Firefox addon, browser plugin.
Triggers: "extension", "browser extension", "chrome extension", "firefox addon", "manifest v3", "wxt".
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stack-selector
Automatically choose the best tech stack based on requirements. User never sees this.
Use when: starting a new project after idea validation.
Triggers: internal use only, called by build pipeline.
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postmortem-writing
Document root cause analysis for team learning. Blameless, actionable, preventive.
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terraform-expert
Infrastructure as Code with Terraform - modules, state management, and best practices.
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incident-response
Incident management, on-call procedures, and runbook execution.
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security-hardening
Infrastructure security, CIS benchmarks, and vulnerability scanning.
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kubernetes-ops
Kubernetes deployments, troubleshooting, and operational best practices.
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disaster-recovery
Backup strategies, disaster recovery planning, and business continuity.
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ci-cd-pipelines
CI/CD pipeline design with GitHub Actions, GitLab CI, and best practices.
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cost-optimization
Cloud cost management, rightsizing, and FinOps practices.
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monitoring-setup
Observability stack with Prometheus, Grafana, and alerting.
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warehouse-optimization
Query optimization, partitioning, clustering, and warehouse tuning.
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dbt-expert
dbt best practices for models, tests, documentation, and project organization.
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airflow-workflows
Apache Airflow DAG design, operators, and scheduling best practices.
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data-modeling
Dimensional modeling, normalization, and schema design for analytics.
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data-quality
Data quality testing with dbt tests, Great Expectations, and monitoring.
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pipeline-design
Design ETL/ELT pipeline architectures with proper patterns for reliability and scalability.
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spark-basics
PySpark fundamentals for distributed data processing.
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data-governance
Data lineage, cataloging, access control, and compliance.
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design-preferences
Gather user design preferences before building UI.
Use when: starting a project with visual interface (Web App, Mobile, Browser Extension).
Triggers: "design preferences", "visual style", "choose theme", "design step".
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mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
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expo-workflows
Expo SDK, EAS Build, EAS Update, and managed workflow best practices.
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