1.9K skills · sorted by relevance
Track updates from blogs and RSS or Atom feeds, formats used to distribute new articles. Register sources, scan for newly published items, review article lists, mark articles as read, and remove sources you no longer follow.
Review dialogs to check whether screen readers can announce their purpose when they open. Identify missing or unclear labels, suggest title or label associations, and explain how to verify the changes with accessibility tools.
Inspect NSLogger logs from iOS and macOS apps, filter messages by severity, tag, text, or thread, summarize counts, export text, JSON, or CSV, and receive live logs for debugging.
Convert Simplicité text logs into structured JSON while keeping only the fields needed for troubleshooting. Preserve multiline errors and stack traces, and reduce the amount of log content passed to an AI agent for analysis.
Investigate AWS production incidents using reusable CloudWatch log queries and metric calculations. Narrow affected resources, compare alarms with deployment events, and reconstruct a timeline to identify changes that may explain the symptoms.
Analyze proxy, DNS, and firewall traffic logs to uncover unapproved SaaS and cloud services. Group usage by domain, compare it with approved applications, and produce a report with traffic volumes, user counts, risk scores, and remediation recommendations.
Investigate Active Directory authentication logs with Splunk and KQL queries to find signs of Golden Ticket attacks, which use forged Kerberos authentication tickets. Examine encryption mismatches, missing ticket requests, unusual lifetimes, and account inconsistencies.
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.
Monitor public Certificate Transparency logs, which record TLS certificates, to spot unexpected issuance and discover subdomains. Use crt.sh data to maintain a certificate inventory, check domain findings against DNS, and configure alerts for suspicious activity.
Analyze Windows event logs in Splunk to investigate suspicious logins, privilege changes, persistence, and movement between computers. Build detection searches and organize endpoint activity into timelines, with findings linked to MITRE ATT&CK attack techniques.
Investigate Office 365 account compromise by reviewing audit logs, email forwarding rules, mailbox permissions, and application access grants. Produce a JSON report with risk scores and a timeline showing suspicious activity and affected mailboxes.
Test Qwen Code through realistic keyboard interactions in tmux, a terminal session tool. Capture readable screen snapshots at each step and produce a report documenting dialogs, commands, outcomes, and observed side effects.
Design systems where multiple AI agents share work, generate tool schemas that define tool inputs for Anthropic and OpenAI, and analyze execution logs. Outputs include role assignments, communication diagrams, and recommendations for addressing cost, latency, and failures.
Turn development tickets, product requirements, or internal changelogs into release notes users can understand. Organize updates into features, improvements, and fixes, explain their benefits, and highlight changes that require users to take action.
Retrieve and analyze Screenpipe recording engine and desktop app logs to investigate errors or events at a specific time. Get timestamped findings, recurring error patterns, possible causes, suggested fixes, and indications of service status.
Turn plain-language requests into Cloud Logging queries for Google Cloud. Generate service-specific filters to find errors, investigate issues, or review audit logs using LQL, the language used to search these logs.
Launch and supervise gator agents for specific GitHub issues or pull requests in OpenShell. Check isolated execution environments, inspect logs, restart stalled agents, and test model or image overrides without changing default settings.
Run builds, tests, and other long commands in the background while continuing other work. Explains how to read new log output, check completion, send input, and stop processes using the available platform controls.
Investigate local Rust services by starting the crate’s executable with debug logging and following its log output. Use the recorded messages to examine startup problems, runtime behavior, and errors while discussing findings with the agent.
Azure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API. Triggers: "azure-monitor-ingestion", "LogsIngestionClient", "custom logs", "DCR", "data collection rule", "Log Analytics".
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Analyze application logs for performance insights and issue detection including slow requests, error patterns, and resource usage. Use when troubleshooting performance issues or debugging errors. Trigger with phrases like "analyze logs", "find slow requests", or "detect error patterns".
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Infer orthologous genes and gene families across species using OrthoFinder3 (HOG-based phylogenetic orthology), SonicParanoid2, Broccoli, ProteinOrtho, OMA / FastOMA hierarchical orthologous groups, eggNOG-mapper, JustOrthologs, and TOGA whole-genome-alignment orthology. Use when building single-copy ortholog sets for phylogenomics, classifying co-orthologs and in/out-paralogs after gene duplication, propagating functional annotation via orthology with awareness of the ortholog conjecture, distinguishing speciation from duplication via gene-tree species-tree reconciliation, computing Quest-for-Orthologs benchmark performance, or running synteny-aware ortholog detection in WGD-affected lineages.
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Diagnoses .NET Framework CLR activation issues using CLR activation logs (CLRLoad logs) produced by mscoree.dll. Use when: the shim picks the wrong runtime, fails to load any runtime, shows unexpected .NET 3.5 Feature-on-Demand (FOD) dialogs, unexpectedly does NOT show FOD dialogs, loads both v2 and v4 into the same process causing failures, or any time someone is wondering "what is happening with .NET Framework activation?"
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Design, audit, or implement application structured logging architecture from repository evidence. Use when a user asks whether or where to add logs, how to choose or migrate a logger, how to standardize events/fields/levels/redaction, how to add HTTP access or panic logs, or why production logs cannot answer an incident question. Do not use merely to tail platform logs or to design a full metrics, tracing, SLO, and incident-management program.
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