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AgentFend hilft Teams dabei, AI Skills sicher zu analysieren, zu verifizieren und zu veroeffentlichen.

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Kuratiertes Sicherheitsverzeichnis

Skill-Bibliothek

Entdecken und verifizieren Sie AI Skills.

1825 Passende Skills
1825 Verifizierte Skills
17 Verfolgte Kategorien
Tags

Ergebnisse: 1825

Seite 191 von 203

anthropic_administrator-automation

Verifiziert
MCP

"Automate Anthropic Admin tasks via Rube MCP (Composio): API keys, usage, workspaces, and organization management. Always search tools first for current schemas."

27.03.2026
Score bis zur Registrierung verborgen

ln-775-api-docs-generator

Verifiziert
Backend

"Configures Swagger/OpenAPI documentation for backend APIs. Use when adding interactive API docs to a project."

27.03.2026
Score bis zur Registrierung verborgen

ln-774-healthcheck-setup

Verifiziert
Database

"Configures health check endpoints for Kubernetes readiness/liveness/startup probes. Use when deploying to Kubernetes."

27.03.2026
Score bis zur Registrierung verborgen

health-data

Verifiziert
Database

Query Apple Health SQLite database for vitals, activity, sleep, and workouts. Supports Markdown, JSON, and FHIR R4 output formats. This skill should be used when analyzing health metrics, generating health reports, answering questions about fitness or sleep patterns, or exporting health data in standard formats.

27.03.2026
Score bis zur Registrierung verborgen

create-voltagent

Verifiziert
DevOps

Skill for creating AI agent projects using the VoltAgent framework. Guide for CLI setup and manual bootstrapping.

27.03.2026
Score bis zur Registrierung verborgen

snowflake-development

Verifiziert
DevOps

"Use when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors."

27.03.2026
Score bis zur Registrierung verborgen

senior-ml-engineer

Verifiziert
Memory

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.

27.03.2026
Score bis zur Registrierung verborgen

senior-devops

Verifiziert
DevOps

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

27.03.2026
Score bis zur Registrierung verborgen

senior-architect

Verifiziert
Database

This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design". Use for architecture decision records (ADRs), tech stack evaluation, system design reviews, dependency analysis, and generating architecture diagrams in Mermaid, PlantUML, or ASCII format.

27.03.2026
Score bis zur Registrierung verborgen
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