860 skills · sorted by relevance
Use when building or debugging WordPress Interactivity API features (data-wp-* directives, @wordpress/interactivity store/state/actions, block viewScriptModule integration, wp_interactivity_*()) including performance, hydration, and directive behavior.
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Infer transcription factor regulons from single-cell RNA-seq with pySCENIC by combining GRNBoost2 co-expression, cisTarget motif-enrichment pruning, and AUCell per-cell activity scoring. Covers the motif-pruning-as-directionality principle, regulon specificity scoring, run-to-run stability, and database/species matching. Use when identifying TF regulons, scoring TF activity per cell, finding master regulators of cell identity, or comparing regulon activity across conditions. For enhancer-driven multiomic GRNs see multiomics-grn; for bulk inference and VIPER protein-activity see grn-inference.
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Guidance on non-obvious runtime behaviors of Salesforce standard objects — polymorphic lookups, lead conversion field loss, PersonAccount dual-nature, CaseComment trigger isolation, and Activity date fields. Also covers which trigger actually fires for a person account, the either/or Event duration contract, the Closed status category behind Task.CompletedDateTime, the 3-record merge cap and its single delete + single update trigger events, and the CaseComment post-insert write lock. Trigger keywords: person account trigger not firing, Contact trigger person account, Event required field EndDateTime, DurationInMinutes, CompletedDateTime null, merge MasterRecordId, CaseComment cannot be edited, IsNotificationSelected null, lead conversion triggers disabled. NOT for the Activity object model — use admin/activity-and-task-patterns. NOT for writing TYPEOF queries — use apex/apex-polymorphic-soql.
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Infer transcription factor regulons from single-cell RNA-seq with pySCENIC by combining GRNBoost2 co-expression, cisTarget motif-enrichment pruning, and AUCell per-cell activity scoring. Covers the motif-pruning-as-directionality principle, regulon specificity scoring, run-to-run stability, and database/species matching. Use when identifying TF regulons, scoring TF activity per cell, finding master regulators of cell identity, or comparing regulon activity across conditions. For enhancer-driven multiomic GRNs see multiomics-grn; for bulk inference and VIPER protein-activity see grn-inference.
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Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
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Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
The English summary is being prepared. Showing the original description.
Infer transcription factor regulons from single-cell RNA-seq with pySCENIC by combining GRNBoost2 co-expression, cisTarget motif-enrichment pruning, and AUCell per-cell activity scoring. Covers the motif-pruning-as-directionality principle, regulon specificity scoring, run-to-run stability, and database/species matching. Use when identifying TF regulons, scoring TF activity per cell, finding master regulators of cell identity, or comparing regulon activity across conditions. For enhancer-driven multiomic GRNs see multiomics-grn; for bulk inference and VIPER protein-activity see grn-inference.
The English summary is being prepared. Showing the original description.
Infer transcription factor regulons from single-cell RNA-seq with pySCENIC by combining GRNBoost2 co-expression, cisTarget motif-enrichment pruning, and AUCell per-cell activity scoring. Covers the motif-pruning-as-directionality principle, regulon specificity scoring, run-to-run stability, and database/species matching. Use when identifying TF regulons, scoring TF activity per cell, finding master regulators of cell identity, or comparing regulon activity across conditions. For enhancer-driven multiomic GRNs see multiomics-grn; for bulk inference and VIPER protein-activity see grn-inference.
The English summary is being prepared. Showing the original description.
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
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Create an SVG usage card from local Claude Code, Codex, Gemini CLI, and OpenCode logs. It summarizes token counts, equivalent API cost, consecutive activity days, and each agent's share for inclusion in a README or documentation.
Build or review Vue.js 3 and Nuxt interfaces using practical patterns for components, shared state, navigation, and tests. Learn how to organize code and manage reactivity, the mechanism that updates the interface when data changes.
Automatically gathers the past 24 hours of activity from connected services into one morning dashboard, bringing together meetings, pending replies, tasks, and development updates in visual modules suited to each type of information.
Build a Notion-style HTML team dashboard showing key metrics, seven-day trends, recent activity, and tasks. Refresh data manually or automatically, with sample data available when no connector is connected.
Summarize the past 24 hours of Gmail activity into items needing action, items worth attention, and informational updates. Orbit presents the daily digest as an opened email in a Gmail-style reading view using an authenticated Gmail connection.
Build an HTML dashboard for a public GitHub repository, showing stars, forks, contributors, issues, pull requests, and recent activity. Choose a standalone page or source files that support updates and record where the data came from.
Run RuView applications for occupancy, breathing and heart rate, activity, pose, sleep, and room changes. Choose suitable examples and startup commands for a simulated demonstration or a working ESP32 setup that captures WiFi signal measurements.
Manage work on a SeaClip-Lite project board through commands that create and update issues, control pipelines, configure schedules, and inspect recent activity, with JSON output for AI agents.
Set up AWS CloudTrail to record activity across accounts, protect audit logs, and alert on sensitive operations. Includes guidance for querying past events with Athena or CloudTrail Lake and checking log integrity during investigations.
Create a single PowerPoint slide summarizing recent funding activity in selected sectors or companies. Using S&P Global Capital IQ data, it highlights funding totals, company valuations, major investors, key trends, and links to individual deals.
Develop network monitoring for signs that may precede ransomware encryption. Uses detection rules, linked log events, and threat intelligence to identify suspicious activity and define how alerts should be investigated, prioritized, and escalated.
Create rules for Suricata and Snort, systems that detect suspicious network traffic, to flag port scans and reconnaissance. Combine packet patterns with connection counts, tune alert volume, and summarize scanning sources, targets, and activity.
Analyze endpoint, cloud storage, and email logs for signs of insider data theft. Use pandas to compare upload volumes with normal user behavior and examine data loss prevention alerts, unusual file access, and activity outside working hours.
Hunt for lateral movement, where attackers move between networked systems, using Splunk searches. Connect Windows logins with process and network activity to identify unusual host relationships, trace movement paths, and document affected accounts and systems.
Investigate possible insider threats by correlating endpoint and security logs. Examine unusual data access, off-hours activity, bulk downloads, and privilege abuse, then document supporting evidence, risk, confidence, and recommended actions after checking the context for false positives.