Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing...

Best practices for building a Stripe integrations

Provides comprehensive AWS (Amazon Web Services) guidance including EC2, S3, RDS, Lambda, ECS/EKS, CloudFormation, API Gateway, CloudFront, cloud migration from on-premise/GCP/Azure, security...

Manage Arlo security cameras, video doorbell, and smart home security

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than...

Provides comprehensive IBM Cloud platform guidance including compute services (VPC, Virtual Servers, IKS, OpenShift, Code Engine, Cloud Functions), storage (Object Storage, Block Storage, File...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY...

Generates test scenarios and adversarial attacks for Automotive Security (UDS, SecOC, Secure Boot).

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...

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...

Optimize markdown files for LLM consumption by adding YAML front-matter with metadata and TOC, normalizing heading hierarchy, removing noise and redundancy, converting verbose prose to structured...

Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.

Guidelines for building Python cybersecurity tools with secure coding practices, async scanning, and structured security testing.

Senior Security Engineer & Forensic Analyst. Expert in AI-driven vulnerability scanning, CTEM standards, and agentic security orchestration.

Create optimized Dockerfiles with multi-stage builds, security hardening, and vulnerability scanning for minimal, secure container images.

Security scanner for ClawdHub/community skills — detects malware, credential theft, exfiltration, prompt injection, and obfuscation before you install. Use when installing skills from ClawdHub or...

Design and validate REST and GraphQL APIs with OpenAPI/GraphQL schema generation, security hardening, and OWASP API Security compliance.

Instrument LLM applications with Langfuse tracing. Use when setting up Langfuse, adding observability to LLM calls, or auditing existing instrumentation.

Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.

Map identified threats to appropriate security controls and mitigations. Use when prioritizing security investments, creating remediation plans, or validating control effectiveness.