918 skills · sorted by relevance
Use hosted DNA models to predict gene structures, expression levels, and regions that regulate gene activity. Start from a gene symbol, genomic coordinates, or a DNA sequence, without installing model weights or running a local GPU.
Plan protein characterization experiments with Adaptyv's cloud laboratory, estimate costs, submit sequences, track progress, and retrieve measured results. Supports binding, thermal stability, expression, fluorescence, and enzyme activity workflows through the API and Python SDK.
Investigate how DNA variants may affect gene activity using precomputed AlphaGenome Atlas results and model predictions. Rank candidate variants, examine tissue-specific effects, and inspect the features behind scores to develop research hypotheses about biological mechanisms.
Deploy and operate AI agents with AWS Bedrock AgentCore. Choose services for hosting agents, connecting external APIs, managing credentials and conversation state, monitoring activity, and assessing agent quality through automated evaluations.
Automate Amplitude tasks through Rube MCP and Composio. Send tracking events, retrieve user activity, update user properties, and manage cohorts, saved groups of users, with checks for identifiers and asynchronous update status.
Test a local web app in a real browser, checking the page structure, console messages, and network activity. Follow controls observed on the page and record evidence showing whether the tested flow passes or fails.
Turn current, prior-period, and budget figures into a financial variance commentary table. It identifies lines needing explanation, traces changes to underlying business activity, and adds a short narrative covering the period's largest movements.
Turn local Q&A session files into an English weekly report with topic rankings, unresolved issues, activity metrics, and comparisons with the previous week. Include supporting message excerpts and structured data for later document and dashboard rendering.
Assess market sentiment using fear and greed measures, options activity, margin trading, foreign investment flows, and social media discussion. Combine indicators on a common scale to produce a dashboard and explain signs of excessive optimism or fear.
Analyze public blockchain records to assess crypto market conditions. Combine network activity, large-holder transfers, decentralized finance liquidity, and valuation measures into a report with indicator comparisons, a composite score, and an interpretation of market signals.
Investigate suspicious privilege increases, including Windows UAC approval bypasses and Linux sudo or setuid abuse. Use registry changes, process relationships, and permission changes to identify possible abuse and document affected hosts, methods, and risk levels.
Build real-time detection for ransomware encryption by combining changes in data randomness with file modification rates, renames, and process activity. Define behavioral scores and response thresholds, then check detection accuracy and monitoring overhead.
Investigate suspicious PowerShell activity using endpoint monitoring data and security logs. Examine encoded commands, downloads, and attempts to evade inspection, then document evidence, affected systems, risk, and recommended response actions.
Investigate suspected rootkits, malware that hides its presence, by comparing process lists, inspecting memory, and checking system integrity. Use Volatility and Windows or Linux scanners to identify hidden processes, suspicious drivers, altered system calls, and concealed connections.
Deploy and operate Falco to monitor running containers in Kubernetes or Docker. Choose a driver, validate detection rules, confirm alerts for suspicious activity, and forward those alerts to a central security monitoring system.
Investigate misuse of application identities in Microsoft Entra ID using audit and sign-in logs. Provides detection queries and investigation steps for suspicious credential additions, privileged role assignments, consent grants, and service principal enumeration.
Build or tune a monitoring pipeline that learns normal user behavior from activity logs. Use Elasticsearch or OpenSearch to score unusual activity, compare colleagues in similar roles, and combine warning signs into insider threat alerts.
Analyze AWS CloudTrail logs against normal activity patterns to spot unusual API calls, IP addresses, errors, and sensitive changes. Produce a JSON report with anomaly scores, suspicious users, and suggested investigation steps.
Build detections for fileless attacks on Windows using process activity, script logs, and endpoint monitoring. Investigate suspicious PowerShell, code injected into running processes, WMI persistence, and registry-based execution with logging guidance and detection query examples.
Investigate Windows malware that runs in memory or abuses legitimate system tools. Use logs, registry entries, and memory dumps to trace persistence, identify suspicious activity, and produce detection rules and an analysis report.
Examine Windows endpoint logs for attempts to avoid security detection, including log clearing, altered file timestamps, injected code, and disabled protection. Correlate events to investigate suspicious behavior and develop detection rules with context for legitimate activity.
Set up decoy files on endpoints and shared folders to detect possible ransomware activity. Monitor modifications, deletions, and renaming with file monitoring tools, connect events to alerts, and test whether the detection and response process works.
Set up Microsoft Sentinel to collect security logs from AWS, Azure, and GCP. Build detection queries, investigate historical activity, and create automated response workflows for a centralized security operations team.
Respond to security incidents across AWS, Azure, and GCP by investigating audit logs, containing compromised identities, isolating resources, and preserving evidence. Organize recovery and follow-up security measures for credential leaks, unauthorized permission changes, and attacks spanning cloud services.