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Browse all AI agent skills for Claude Code, OpenClaw, Cursor, Windsurf, and more. Install them with a single command to extend what your agents can do.

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virustotal-automation

ComposioHQ/awesome-claude-skills

39.9k

Automate Virustotal tasks via Rube MCP (Composio). Always search tools first for current schemas.

planning-disaster-recovery

ancoleman/ai-design-components

297

Design and implement disaster recovery strategies with RTO/RPO planning, database backups, Kubernetes DR, cross-region replication, and chaos engineering testing. Use when implementing backup systems, configuring point-in-time recovery, setting up multi-region failover, or validating DR procedures.

resource-tagging

ancoleman/ai-design-components

297

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.

providing-feedback

ancoleman/ai-design-components

297

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.

implementing-search-filter

ancoleman/ai-design-components

297

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.

deploying-on-azure

ancoleman/ai-design-components

297

Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.

operating-kubernetes

ancoleman/ai-design-components

297

Operating production Kubernetes clusters effectively with resource management, advanced scheduling, networking, storage, security hardening, and autoscaling. Use when deploying workloads to Kubernetes, configuring cluster resources, implementing security policies, or troubleshooting operational issues.

managing-secrets

ancoleman/ai-design-components

297

Managing secrets (API keys, database credentials, certificates) with Vault, cloud providers, and Kubernetes. Use when storing sensitive data, rotating credentials, syncing secrets to Kubernetes, implementing dynamic secrets, or scanning code for leaked secrets.

platform-engineering

ancoleman/ai-design-components

297

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.

prompt-engineering

ancoleman/ai-design-components

297

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).

pyinstaller-config

a5c-ai/babysitter

379

Configure PyInstaller for Python binary builds with spec files and bundling options.

using-graph-databases

ancoleman/ai-design-components

297

Graph database implementation for relationship-heavy data models. Use when building social networks, recommendation engines, knowledge graphs, or fraud detection. Covers Neo4j (primary), ArangoDB, Amazon Neptune, Cypher query patterns, and graph data modeling.

using-relational-databases

ancoleman/ai-design-components

297

Relational database implementation across Python, Rust, Go, and TypeScript. Use when building CRUD applications, transactional systems, or structured data storage. Covers PostgreSQL (primary), MySQL, SQLite, ORMs (SQLAlchemy, Prisma, SeaORM, GORM), query builders (Drizzle, sqlc, SQLx), migrations, connection pooling, and serverless databases (Neon, PlanetScale, Turso).

shell-scripting

ancoleman/ai-design-components

297

Write robust, portable shell scripts with proper error handling, argument parsing, and testing. Use when automating system tasks, building CI/CD scripts, or creating container entrypoints.

security-hardening

ancoleman/ai-design-components

297

Reduces attack surface across OS, container, cloud, network, and database layers using CIS Benchmarks and zero-trust principles. Use when hardening production infrastructure, meeting compliance requirements, or implementing defense-in-depth security.

testing-strategies

ancoleman/ai-design-components

297

Strategic guidance for choosing and implementing testing approaches across the test pyramid. Use when building comprehensive test suites that balance unit, integration, E2E, and contract testing for optimal speed and confidence. Covers multi-language patterns (TypeScript, Python, Go, Rust) and modern best practices including property-based testing, test data management, and CI/CD integration.

transforming-data

ancoleman/ai-design-components

297

Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migrating from pandas to polars, or orchestrating multi-step transformations with testing and quality checks.

streaming-data

ancoleman/ai-design-components

297

Build event streaming and real-time data pipelines with Kafka, Pulsar, Redpanda, Flink, and Spark. Covers producer/consumer patterns, stream processing, event sourcing, and CDC across TypeScript, Python, Go, and Java. When building real-time systems, microservices communication, or data integration pipelines.

using-message-queues

ancoleman/ai-design-components

297

Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.

siem-logging

ancoleman/ai-design-components

297

Configure security information and event management (SIEM) systems for threat detection, log aggregation, and compliance. Use when implementing centralized security logging, writing detection rules, or meeting audit requirements across cloud and on-premise infrastructure.

using-document-databases

ancoleman/ai-design-components

297

Document database implementation for flexible schema applications. Use when building content management, user profiles, catalogs, or event logging. Covers MongoDB (primary), DynamoDB, Firestore, schema design patterns, indexing strategies, and aggregation pipelines.

slack-block-kit

ccheney/robust-skills

19

Proactively apply when generating Slack API payloads with blocks, chat.postMessage calls with structured content, or views.open/views.publish calls. Triggers on Block Kit, Slack blocks, section block, actions block, header block, divider block, context block, table block, markdown block, rich text block, image block, input block, video block, context_actions block, plan block, task_card block, Slack modal, Slack App Home, Slack surfaces, Slack interactive elements, Slack button, Slack select menu, Slack overflow, Slack datepicker, Slack checkboxes, Slack radio buttons, Work Objects, Slack link unfurl, chat.postMessage blocks, views.open, views.update, views.push, views.publish, Slack composition objects. Use when building Block Kit payloads, constructing blocks arrays, creating modals or App Home views, adding interactive elements, implementing link unfurling with Work Objects, or designing rich message layouts. Slack Block Kit UI framework for building rich message layouts, modals, and App Home views.

architecture-paradigm-microkernel

athola/claude-night-market

197

'Minimal core system with plugin-based feature extensibility for platform

unocss

antfu/skills

3.8k

UnoCSS instant atomic CSS engine, superset of Tailwind CSS. Use when configuring UnoCSS, writing utility rules, shortcuts, or working with presets like Wind, Icons, Attributify.

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