llm-security-red-teaming
Comprehensive guide to securing LLM applications including prompt injection prevention, jailbreak detection, guardrails, and red teaming methodologies
Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.
Comprehensive guide to securing LLM applications including prompt injection prevention, jailbreak detection, guardrails, and red teaming methodologies
Comprehensive guide to conducting effective user interviews for problem discovery, solution validation, and continuous learning
Comprehensive guide to implementing permission systems for AI agent tools including RBAC, approval workflows, and security policies
Automated scripts for common repository tasks including setup, cleanup, dependency updates, and maintenance.
Implementing function calling (tool use) with LLMs for structured outputs and external integrations.
Playbook สำหรับ backfill historical data และ reconcile inconsistencies ระหว่าง data sources
Techniques for gaining visibility into cloud spending, attributing costs to business units, and detecting financial anomalies.
Comprehensive guide to deploying and serving LLM models including optimization, batching, caching, and production infrastructure
Comprehensive guide to access audits, periodic reviews, anomaly detection, and segregation of duties for compliance and security.
Policy และ automation สำหรับ data retention, archival และ deletion ตาม compliance requirements
Comprehensive guide to effective prompt engineering patterns including few-shot, chain-of-thought, ReAct, and advanced prompting techniques
Comprehensive guide to detecting Personally Identifiable Information (PII) across systems, databases, and logs using regex patterns, NER models, and automated scanning tools.
กลยุทธ์การ retrieve context ให้ AI อย่างมีประสิทธิภาพ - เลือกอะไร ไม่เลือกอะไร และจัดลำดับอย่างไร
Comprehensive guide to API versioning approaches for maintaining backward compatibility.
Patterns for distributing configuration and secrets to services safely and consistently across environments (env vars, config files, secret managers, K8s External Secrets, and change process)
Comprehensive guide to incident severity classification and response requirements
Techniques and tools for understanding how machine learning models make decisions and explaining those decisions to stakeholders.
The master skill for analyzing, designing, and standardizing the creation of new AI skills (Skill 72).
Organization-wide REST/GraphQL API conventions: URL and naming rules, versioning, pagination/filtering, status codes, authentication headers, and compatibility guidance
Policy สำหรับ automated security scanning ใน CI/CD pipeline รวม dependency audit, SAST, และ secret detection
See the main Incident Triage skill for comprehensive triage workflows and procedures.
Comprehensive guide to consumer-driven contract testing with Pact, bi-directional contracts, and integration with CI/CD pipelines
Comprehensive guide to offline and online evaluation strategies including A/B testing, shadow mode, canary deployments, and bridging offline-online metrics
Standardized local development environment setup ensuring consistency across team members and reducing "works on my machine" issues.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.