1.7K skills · sorted by relevance
Deploy decoy files and monitor changes, renames, and deletions for early signs of ransomware. This skill guides Python monitoring, email, Slack, and syslog alerts, plus simulated file operations to verify that the detection and notification pipeline works.
Find lookalike domains with dnstwist and prioritize suspicious results using DNS records, registration age, and website similarity. The skill also covers monitoring for new findings and producing blocklists and reports to support domain takedown requests.
Search public TLS certificate records through crt.sh and pycrtsh to investigate lookalike domains, unexpected certificate issuers, and untracked IT assets. Compare domain spellings and review certificate details to support phishing detection and certificate monitoring.
Audit AWS, Azure, and GCP configurations against CIS Benchmarks, security configuration guidelines. Use automated scan results to identify failed checks, prioritize fixes, report compliance by area, and establish ongoing monitoring for configuration changes.
Design LLM applications using patterns for answers grounded in documents, agents that use tools, and prompt testing. Implementation examples also cover monitoring response quality, latency, costs, and failures during operation.
Review Google Cloud operations and develop guidance for monitoring, incident response, resource sizing, and automated deployments. Use framework-based questions and checklists to identify gaps in production readiness and plan ongoing operational improvements.
Design service monitoring with Prometheus, write PromQL queries to analyze metrics, and build Grafana dashboards. Configure actionable alerts and manage metric labels so monitoring stays useful as the volume of collected data grows.
Define reliability targets for production services and calculate error budgets, the allowed amount of failure. Create monitoring rules, incident response runbooks, capacity plans, and automation scripts, with failure experiments to check recovery behavior.
Coordinate paid advertising work across twelve platforms, from account audits and budget planning to creative briefs, experiments, monitoring, and reports. Ground recommendations in evidence and execute account changes only when explicit approval and required safeguards are in place.
Design workflows where specialized AI agents share recurring product management tasks. Define each agent’s role, required information, handoffs, and human review points, then create monitoring and evaluation plans for the overall workflow.
Design live monitoring dashboards with clear priorities, linked charts, and predictable update behavior. Covers mobile interactions, connection failures, and rendering performance so users can scan current conditions, spot anomalies, and explore details as data changes.
Search Google News by keyword and publication period through the BrowserAct API. Collect headlines, publishers, publication times, and article links in a structured form for industry research, brand coverage checks, and competitor news tracking.
Search Zhihu articles by keyword and publication period through the BrowserAct API. Retrieve full article text, titles, authors, dates, cover image URLs, and source links as structured data for industry research, brand monitoring, or competitor updates.
Discover subdomains, live hosts, and URLs to build a prioritized map for web security testing. Includes JavaScript analysis, API specification discovery, and monitoring for new subdomains, JavaScript changes, and GitHub commits.
Track how AI assistants describe a brand by comparing repeated answers to a fixed set of questions. The skill flags factual errors and changes in tone, identifies likely sources, and drafts correction requests and updates to owned content.
Tracks ctDNA dynamics over time for treatment response monitoring using serial liquid biopsy samples. Analyzes tumor fraction trends, mutation clearance kinetics, and defines molecular response criteria. Use when monitoring patients during therapy or detecting molecular relapse before clinical progression.
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Set up Apollo.io monitoring and observability. Use when implementing logging, metrics, tracing, and alerting for Apollo integrations. Trigger with phrases like "apollo monitoring", "apollo metrics", "apollo observability", "apollo logging", "apollo alerts".
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Aggregate and centralize performance metrics from applications, systems, databases, caches, and services. Use when consolidating monitoring data from multiple sources. Trigger with phrases like "aggregate metrics", "centralize monitoring", or "collect performance data".
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Tracks ctDNA across serial liquid-biopsy timepoints for molecular residual disease (MRD) and treatment-response monitoring, treating MRD as a binary integrated detection call across the patient's full variant set (with a defined LoD95 and per-sample specificity) rather than a per-timepoint VAF threshold, and handling undetectable samples as left-censored at the per-sample limit of detection rather than true zeros. Covers tumor-informed bespoke vs tumor-naive design, landmark vs surveillance sampling, molecular-response definitions and their non-standardization, censoring-aware clearance kinetics, and the multiple-testing structure of repeated surveillance. Use when monitoring ctDNA during therapy, calling molecular relapse before imaging, or estimating clearance half-life from serial samples.
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Brand monitoring tool for tracking mentions across social media platforms. Monitor Reddit, Google News, YouTube, and DuckDuckGo for brand mentions. Includes sentiment analysis, trend tracking, crisis detection, and competitor comparison. No API key required for basic monitoring.
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When the user wants to find information sources for content ideation, competitor monitoring, or industry tracking. Also use when the user mentions "research sources," "information sources," "content ideation," "industry monitoring," "competitor monitoring," "market intelligence," "content research," or "topic research." For keywords, use keyword-research.
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Matter budgeting and ongoing WIP/variance monitoring. Build phase-based fee estimates at matter setup, run bottom-up budgets by jurisdiction or workstream, calculate contingency, and structure AFA arrangements (fixed fee, capped fee, phased fixed fees). Ongoing monitoring: WIP tracking against budget, proportionality assessment (spend vs progress), variance commentary with root cause analysis, forecast-to-complete, realisation monitoring, write-off analysis. Trigger on: 'build a budget', 'fee estimate', 'what will this cost', 'WIP review', 'budget vs actual', 'how are we tracking against budget', 'we're over budget', 'realisation is poor', 'what's our ETC', 'budget for the German workstream', 'model the financial impact of this scope change', 'draft a fee adjustment', 'write-off analysis', 'how much contingency', 'AFA structure', 'fixed fee estimate', 'budget update', 'forecast to complete'.
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Track and report on A-share portfolio company performance for China-focused private equity funds. Monitors KPIs, financials, and strategic milestones. Adapted from the original portfolio-monitoring skill for Chinese portfolio companies. Triggers on "A股投后管理", "基金投后监控", "portfolio monitoring China", "monitor portfolio company", "投后报告", or "portfolio company review".
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Generates protocol-based error/crash monitoring with swappable providers (Sentry, Crashlytics). Use when user wants to add crash reporting, error tracking, or production monitoring.
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