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Claude Skills

aka. Agent Skills

Discover skills for AI coding agents. Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and more.

Claude Code
OpenAI Codex
Gemini CLI
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1875 MarketplacesSpecification
13225 verified skills
#SkillStars
2721
#2721

implementing-search-filter

verified

Implements search and filter interfaces for both frontend (React/TypeScript) and backend (Python) with debouncing, query management, and database integration. Use when adding search functionality, building filter UIs, implementing faceted search, or optimizing search performance.

ancoleman/ai-design-components
159
2722
#2722

implementing-service-mesh

verified

Implement production-ready service mesh deployments with Istio, Linkerd, or Cilium. Configure mTLS, authorization policies, traffic routing, and progressive delivery patterns for secure, observable microservices. Use when setting up service-to-service communication, implementing zero-trust security, or enabling canary deployments.

ancoleman/ai-design-components
159
2723
#2723

implementing-compliance

verified

Implement and maintain compliance with SOC 2, HIPAA, PCI-DSS, and GDPR using unified control mapping, policy-as-code enforcement, and automated evidence collection. Use when building systems requiring regulatory compliance, implementing security controls across multiple frameworks, or automating audit preparation.

ancoleman/ai-design-components
159
2724
#2724

implementing-api-patterns

verified

API design and implementation across REST, GraphQL, gRPC, and tRPC patterns. Use when building backend services, public APIs, or service-to-service communication. Covers REST frameworks (FastAPI, Axum, Gin, Hono), GraphQL libraries (Strawberry, async-graphql, gqlgen, Pothos), gRPC (Tonic, Connect-Go), tRPC for TypeScript, pagination strategies (cursor-based, offset-based), rate limiting, caching, versioning, and OpenAPI documentation generation. Includes frontend integration patterns for forms, tables, dashboards, and ai-chat skills.

ancoleman/ai-design-components
159
2725
#2725

load-balancing-patterns

verified

When distributing traffic across multiple servers or regions, use this skill to select and configure the appropriate load balancing solution (L4/L7, cloud-managed, self-managed, or Kubernetes ingress) with proper health checks and session management.

ancoleman/ai-design-components
159
2726
#2726

resource-tagging

verified

Apply and enforce cloud resource tagging strategies across AWS, Azure, GCP, and Kubernetes for cost allocation, ownership tracking, compliance, and automation. Use when implementing cloud governance, optimizing costs, or automating infrastructure management.

ancoleman/ai-design-components
159
2727
#2727

providing-feedback

verified

Implements feedback and notification systems including toasts, alerts, modals, progress indicators, and error states. Use when communicating system state, displaying messages, confirming actions, or showing errors.

ancoleman/ai-design-components
159
2728
#2728

prompt-engineering

verified

Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).

ancoleman/ai-design-components
159
2729
#2729

architecting-networks

verified

Design cloud network architectures with VPC patterns, subnet strategies, zero trust principles, and hybrid connectivity. Use when planning VPC topology, implementing multi-cloud networking, or establishing secure network segmentation for cloud workloads.

ancoleman/ai-design-components
159
2730
#2730

platform-engineering

verified

Design and implement Internal Developer Platforms (IDPs) with self-service capabilities, golden paths, and developer experience optimization. Covers platform strategy, IDP architecture (Backstage, Port), infrastructure orchestration (Crossplane), GitOps (Argo CD), and adoption patterns. Use when building developer platforms, improving DevEx, or establishing platform teams.

ancoleman/ai-design-components
159
2731
#2731

spec-workflow

verified
development

This skill should be used when the user asks to "build a feature", "create a spec", "start spec-driven development", "run research phase", "generate requirements", "create design", "plan tasks", "implement spec", "check spec status", or needs guidance on the spec-driven development workflow.

tzachbon/smart-ralph
157
2732
#2732

communication-style

verified
development

Output rules for all agents - concise, scannable, actionable. Based on Matt Pocock's planning principles.

tzachbon/smart-ralph
157
2733
#2733

delegation-principle

verified
development

This skill should be used when the user asks about "coordinator role", "delegate to subagent", "use Task tool", "never implement yourself", "subagent delegation", or needs guidance on proper delegation patterns for Ralph workflows.

tzachbon/smart-ralph
157
2734
#2734

delegation-principle

verified
development

Core principle that the main agent is a coordinator, not an implementer. All work must be delegated to subagents.

tzachbon/smart-ralph
157
2735
#2735

smart-ralph

verified
development

This skill should be used when the user asks about "ralph arguments", "quick mode", "commit spec", "max iterations", "ralph state file", "execution modes", "ralph loop integration", or needs guidance on common Ralph plugin arguments and state management patterns.

tzachbon/smart-ralph
157
2736
#2736

communication-style

verified
development

This skill should be used when the user asks about "output formatting", "concise responses", "Matt Pocock planning style", "scannable output", "action steps format", or needs guidance on communication and output formatting rules for Ralph agents.

tzachbon/smart-ralph
157
2737
#2737

reality-verification

verified
development

This skill should be used when the user asks to "verify a fix", "reproduce failure", "diagnose issue", "check BEFORE/AFTER state", "VF task", "reality check", or needs guidance on verifying fixes by reproducing failures before and after implementation.

tzachbon/smart-ralph
157
2738
#2738

interview-framework

verified
development

Standard single-question adaptive interview loop used across all spec phases

tzachbon/smart-ralph
157
2739
#2739

speckit-workflow

verified
development

Comprehensive understanding of the spec-kit methodology. Constitution-driven feature development with specify, plan, tasks, and implement phases.

tzachbon/smart-ralph
157
2740
#2740

smart-ralph

verified
development

Core Smart Ralph skill defining common arguments, execution modes, and shared behaviors across all Ralph plugins.

tzachbon/smart-ralph
157
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