implementing-siem-use-cases-for-detection
>
implementing-soar-automation-with-phantom
>
implementing-soar-playbook-for-phishing
Automate phishing incident response using Splunk SOAR REST API to create containers, add artifacts, and trigger playbooks
implementing-soar-playbook-with-palo-alto-xsoar
Implement automated incident response playbooks in Cortex XSOAR to orchestrate security workflows across SOC tools and reduce manual response time.
implementing-stix-taxii-feed-integration
STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence.
implementing-supply-chain-security-with-in-toto
Implement software supply chain integrity verification for container builds using the in-toto framework to create cryptographically signed attestations across CI/CD pipeline steps.
implementing-syslog-centralization-with-rsyslog
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implementing-taxii-server-with-opentaxii
Deploy and configure an OpenTAXII server to share and consume STIX-formatted cyber threat intelligence using the TAXII 2.1 protocol for automated indicator exchange between organizations.
implementing-threat-intelligence-lifecycle-management
Implement a structured threat intelligence lifecycle encompassing planning, collection, processing, analysis, dissemination, and feedback stages to produce actionable intelligence for organizational decision-making.
implementing-threat-intelligence-platform
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implementing-threat-modeling-with-mitre-attack
>
implementing-ticketing-system-for-incidents
>
implementing-usb-device-control-policy
>
implementing-velociraptor-for-ir-collection
Deploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS environments.
implementing-vulnerability-management-with-greenbone
Deploy and operate Greenbone/OpenVAS vulnerability management using the python-gvm library to create scan targets, execute vulnerability scans, and parse scan reports via GMP protocol.
implementing-vulnerability-remediation-sla
Vulnerability remediation SLAs define mandatory timeframes for patching or mitigating identified vulnerabilities based on severity, asset criticality, and exploit availability. Effective SLA programs
implementing-vulnerability-sla-breach-alerting
Build automated alerting for vulnerability remediation SLA breaches with severity-based timelines, escalation workflows, and compliance reporting dashboards.
implementing-web-application-logging-with-modsecurity
>
implementing-zero-knowledge-proof-for-authentication
Zero-Knowledge Proofs (ZKPs) allow a prover to demonstrate knowledge of a secret (such as a password or private key) without revealing the secret itself. This skill implements the Schnorr identificati
implementing-zero-standing-privilege-with-cyberark
Deploy CyberArk Secure Cloud Access to eliminate standing privileges in hybrid and multi-cloud environments using just-in-time access with time, entitlement, and approval controls.
implementing-zero-trust-dns-with-nextdns
Implement NextDNS as a zero trust DNS filtering layer with encrypted resolution, threat intelligence blocking, privacy protection, and organizational policy enforcement across all endpoints.
implementing-zero-trust-for-saas-applications
>
implementing-zero-trust-in-cloud
>
implementing-zero-trust-network-access-with-zscaler
Implementing Zero Trust Network Access With Zscaler
implementing-zero-trust-network-access
>
implementing-zero-trust-with-beyondcorp
Deploy Google BeyondCorp Enterprise zero trust access controls using Identity-Aware Proxy (IAP), context-aware access policies, device trust validation, and Access Context Manager to enforce identity and posture-based access to GCP resources and internal applications.
implementing-zero-trust-with-hashicorp-boundary
Implement HashiCorp Boundary for identity-aware zero trust infrastructure access management with dynamic credential brokering, session recording, and Vault integration.
integrating-dast-with-owasp-zap-in-pipeline
>
integrating-sast-into-github-actions-pipeline
>
intercepting-mobile-traffic-with-burpsuite
>
investigating-insider-threat-indicators
>
investigating-phishing-email-incident
>
investigating-ransomware-attack-artifacts
Identify, collect, and analyze ransomware attack artifacts to determine the variant, initial access vector, encryption scope, and recovery options.
legacy-modernization-agents
Modernize COBOL systems to Java Quarkus or .NET with Microsoft Legacy Modernization Agents workflows.
legacy-modernization-orchestrator
Orchestrate multi-agent legacy modernization assessment, planning, and code-conversion workflows.
legacybridge-oss-cobol
Plan and execute AI-assisted COBOL to Java migrations with LegacyBridge OSS COBOL.
mainframe-ai
Use AI assistance for IBM z/OS and mainframe modernization tasks from the mainframe-ai project.
mainframe
Use the Mainframe AI-native Bash runtime and bundled skills for legacy system analysis automation.
managedcode-dotnet-skills
Use ManagedCode dotnet-skills for installable .NET agent skills, CLI workflows, and migration-oriented guidance.
managing-cloud-identity-with-okta
>
managing-intelligence-lifecycle
>
microsoft-skills
Use microsoft/skills for Azure SDK grounding across .NET and Java agent coding workflows.
monitoring-darkweb-sources
>
nvidia-cuda-q-cudaq-guide
CUDA-Q onboarding guide for installation, test programs, GPU simulation,
nvidia-cuopt-developer
Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA,
nvidia-cuopt-install
Install cuOpt for Python, C, or as a server (pip, conda, Docker) — system
nvidia-cuopt-numerical-optimization-api-c
LP, MILP, and QP (beta) with cuOpt — C API only. Use when the user is
nvidia-cuopt-numerical-optimization-api-cli
LP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli).
nvidia-cuopt-numerical-optimization-api-python
Solve Linear Programming (LP), Mixed-Integer Linear Programming (MILP),
nvidia-cuopt-numerical-optimization-formulation
Numerical optimization (LP, MILP, QP) — concepts, problem-text parsing,
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