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A comprehensive guide for implementing secure and reliable webhook endpoints to handle Vercel deployment lifecycle events. This skill covers signature verification (HMAC) to ensure security, processing key events (e.g., deployment.ready, deployment.error), and implementing idempotency to prevent duplicate actions. Ideal for building automated CI/CD integrations, status notifications, or custom project hooks that react to deployment changes in real-time.

This skill enables AI-assisted debugging and comprehensive error analysis within the development environment. It utilizes Cascade to analyze complex error messages, stack traces, and surrounding code context to identify root causes. Use it when troubleshooting code or encountering runtime errors to receive detailed fix recommendations and prevention strategies.

Toolkit for Python-based survival and time-to-event modeling with scikit-survival, supporting Cox models, ensemble learners, SVMs, and evaluation metrics for censored data.

SimPy is a powerful, process-based discrete-event simulation framework written in Python. It is designed for modeling complex systems where entities interact with shared resources and time-based events occur, such as manufacturing lines, service queues, network traffic, or logistics networks. Use this skill to analyze resource contention, simulate process optimization, conduct capacity planning, and model dynamic system behaviors.

AgentMail provides a comprehensive REST API email infrastructure specifically designed for AI agents. Agents can provision dedicated inboxes, send and receive emails, handle external service verifications (e.g., GitHub signups), and manage real-time inbound webhooks. The system includes a 'karma' mechanism to ensure high domain reputation and prevent abuse, making it reliable for complex automation workflows.

This comprehensive skill guides users through the entire debugging lifecycle, from reproducing elusive bugs to tracing the root cause, implementing permanent fixes, and preventing future regressions. It covers advanced techniques like binary search, time travel debugging, and handling common patterns such as race conditions and null values, ensuring professional and systematic troubleshooting for any production issue.

Build collaborative incident timelines with Timesketch by ingesting Plaso, CSV, or JSONL data to normalize multi-source events, leverage analyzers, search, and story tools, and guide structured attack reconstruction during investigations.

Use boto3 to query AWS CloudTrail logs, build statistical baselines of normal API behavior, and surface unusual event sources, geographic shifts, or anomalous first-time and high-error calls so SOC analysts can investigate credential compromise, privilege escalation, or unauthorized access.

Automates AWS GuardDuty finding handling by tying EventBridge rules to Lambda responders, enabling real-time quarantine, forensic capture, and notification workflows so SOC teams can cut response time from hours to seconds.

Analyzes Windows Security EVTX logs to detect Kerberos golden ticket assaults by correlating event IDs 4768, 4624, and 4672, flagging long-lived TGTs, privilege escalations without group changes, SID inconsistencies, and outputting a timeline-based report.

Analyze domain controller Kerberos/TGT logs to detect Golden Ticket anomalies such as RC4 encryption, impossible lifetimes, forged PACs, and missing TGT events, enabling SOCs to hunt post-breach persistence or credential theft across AD environments.

Detect Kerberos Golden Ticket forgery by analyzing Windows Event ID 4769 RC4 downgrades, orphaned TGS requests, and abnormal lifetimes in Splunk or Elastic SIEM to alert on credential-theft attacks.