7.6K skills · sorted by relevance
Investigate security incidents in Splunk by connecting authentication, endpoint, and network logs. Use SPL, Splunk’s search language, to identify suspicious activity, reconstruct event timelines, document findings, and develop detection rules.
Inspect suspicious PDFs without opening them in a document viewer. Use peepdf, pdfid, and pdf-parser to examine internal objects, extract embedded code and files, and report threat indicators such as URLs and hashes.
Investigate Linux kernel rootkits, malware that hides inside the operating system's core. Analyze memory dumps with Volatility3, compare system views, and run live scans to identify hidden modules, altered calls, and suspicious inconsistencies.
Analyze access logs from AWS API Gateway, Kong, and Nginx with pandas, a Python data analysis library. Examine resource access patterns, authentication failures, and suspicious requests to investigate API abuse and inform detection rules.
Analyze malware communication with command servers to understand periodic check-ins, message formats, encoded data, and backup destinations. Produces a structured analysis report and network detection rules based on captured traffic and malware code.
Examine suspicious Word, Excel, and PowerPoint documents by extracting macros and untangling code designed to hide its purpose. Identify download addresses, execution triggers, and attack steps, then document findings and indicators for detecting related threats.
Map intrusion evidence to the seven stages of the Lockheed Martin Cyber Kill Chain, a model of attack progression. Show where defenses worked or missed activity, and recommend prioritized controls that could interrupt attacks earlier.
Investigate malware hidden in boot records, UEFI firmware, or the operating system’s core. The skill guides evidence collection, boot integrity checks, firmware and memory analysis, and reporting of persistence mechanisms and remediation steps when compromise survives an OS reinstall.
Use Scapy, a Python library for working with network packets, to inspect saved captures or authorized live traffic. Summarize protocols and connections, identify suspicious patterns, craft test packets, and export findings as structured JSON reports.
Support product strategy with market and competitor analysis, vision setting, team design, and performance measures. Includes a Python script that turns company objectives into linked product and team goals and calculates alignment scores.
Analyze differences between financial budgets, actual results, forecasts, or prior periods. Break changes into measurable drivers, explain business causes, and prepare management commentary with waterfall breakdowns that show how each factor contributes.
Save shared articles, posts, and ideas to GBrain with analysis connected to existing knowledge and active projects. Preserve source material, credit authors, cite factual claims, and link related pages while updating existing entries for duplicate URLs.
Coordinate project delivery by routing requests to eight specialist skills or running a verified delivery workflow. Use live Jira data for progress analysis and completion forecasts, with recorded evidence and checks before tasks are closed.
Manage complex software and SaaS projects by assessing schedules, budgets, quality, risks, and team capacity. Compare priorities across projects, identify resource constraints, and turn portfolio analysis into executive reports with recommendations for decisions and follow-up.
Routes content requests to specialist skills for writing, search visibility improvements, brand voice analysis, or planning. This deprecated skill identifies the intended task and points to the appropriate successor instead of producing content itself.
Coordinate AI agents acting as company executives through shared question and response formats. The skill defines limits on repeated calls, independent analysis, peer checks, conflict reporting, and decision records to support cross-functional reviews and board meetings.
Assess a product or business through SWOT: strengths, weaknesses, opportunities, and threats. Connect internal capabilities with market conditions to develop strategic recommendations, prioritize actions, identify owners, and define measures for tracking progress.
Assess how changes, failures, or paused updates to a BigQuery table or view affect downstream assets. Trace data lineage, the relationships showing where data flows, and summarize dependent tables, dashboards, and processes with direct and indirect impacts.
Route code changes and SQL analysis to isolated Kortix work sessions with clear requirements and workspace details. Coordinate parallel investigations or independent pull request reviews, then summarize deliverables, verification results, and differences between findings.
Investigate recurring problems by mapping feedback loops, the cycles through which effects influence their causes. Identify underlying structures, match known patterns, and assess where changes could help and what unintended effects they might produce.
Examine articles, reports, or pasted text for bias in the data, the producing organization's interests, and the reporting. It seeks cited studies and returns a structured report separating supported findings from editorial interpretation.
Audit a website or individual page across technical SEO, content quality, performance, images, and AI search readiness. Route work to specialized checks and receive a combined report with prioritized recommendations tailored to the site's business type.
Use live DataForSEO data to research search results, keyword demand, backlinks, and competitors. Compare findings in tables, inspect page issues, and track how brands or websites are mentioned and cited in AI responses.
Helps explore datasets, clean missing or inconsistent values, and explain patterns through statistics and charts. Uses Python and SQL to compare groups, examine relationships, and present findings in plain language with documented analysis steps.