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Manage AdGuard Home network filtering from the command line. Update blocklists, register devices, configure DNS rules that map names to addresses, and inspect query logs and statistics through the AdGuard Home REST API.
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Search scientific papers by topic or DOI, a paper’s identifier, and organize evidence extracted from full text. Connect claims with experiments, reported statistics, limitations, and source locations for literature reviews and evidence tables.
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Store project knowledge and design decisions in persistent memory that AI agents can search and read. New findings sync automatically to Markdown documentation, while usage statistics help you inspect the memory bank.
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Retrieve Google Workspace audit logs, which record account activity, and usage reports through gws. Review activity in applications such as the Admin console and Google Drive, or inspect statistics for the organization, users, and entities.
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Find content losing search impressions and clicks using Google Search Console. Rotate through pages based on refresh history, update dated copy, statistics, and internal links, and open a pull request for human review.
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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.
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Set up WizTelemetry Events to collect and store Kubernetes events in KubeSphere. Configure index retention policies and use the query API to filter warnings, inspect resource events, generate statistics, or export matching records.
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Install and configure WizTelemetry Logging in KubeSphere to collect container output and file logs. Use its API to filter logs by workload, time, or keywords, retrieve statistics, and export results.
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Guides adapting OpenPI robot models to custom datasets and serving them to produce actions from observations. Covers JAX and PyTorch training, checkpoint conversion, and troubleshooting for normalization statistics and GPU memory.
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Research topics on the web and turn findings into a structured brief for content creation. Cross-check important claims across independent sources, collect attributed statistics and quotes, and identify useful angles alongside gaps, disagreements, and outdated evidence.
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Apply ClawHub-specific rules when developing with Convex, including deployment targeting, runtime checks, data migrations, search performance, and skill statistics. It also directs specialized work to the appropriate companion skills.
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Search ClinicalTrials.gov studies by condition and recruitment status, then receive concise summaries. Use the same client to inspect API field definitions, allowed values, search areas, and field statistics, with an option to save raw responses.
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Find publicly listed contact emails for YouTube channels using a channel ID, handle, or URL. Collect channel statistics and external links, then check linked personal or business websites when the channel description contains no email.
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Analyze ML and AI experiment results with statistical checks, confidence intervals, and effect sizes, which describe the size of differences. Produce scientific figures and analysis reports while identifying missing evidence and limits on model comparison claims.
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Analyze Excel data by classifying items, calculating counts and percentages, and comparing categories across groups. Identify values above related limits, then produce a pie chart and an Excel statistics file with download links.
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Research Chinese markets, industries, and companies using free official sources that require no registration or API key. Gather statistics, disclosures, and policies while preserving source URLs, metric definitions, and time periods for the findings.
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Manage manual test runs in TestDino, from finding or creating a run for a release to inspecting its cases and summary statistics. Assign individual cases and update results or elapsed time using recognizable run and case IDs.
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Analyze ML and AI experiment data with statistical tests, effect sizes, confidence intervals, and figures. The skill validates comparisons and produces an analysis report, statistical appendix, and figure catalog while identifying missing evidence and limitations.
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Revise formulaic academic prose through staged vocabulary and structure edits while checking that citations, statistics, and technical terms remain intact. Choose sections and editing intensity, compare changes, and review progress before accepting the revised manuscript.
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Extract statistical values from research PDFs for meta-analysis, which combines results across studies. Track each value’s source and confidence, prioritize review, and manage human corrections and final approval in a shared data structure.
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Refine AI-assisted academic drafts into natural scholarly prose while preserving citations, statistics, and methodological details. Choose how extensively to revise and which sections to edit, then review a report comparing the original and revised text.
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Turn regression results, summary statistics, and simulation output into tables and figures for academic papers. Apply consistent number formatting, labels, and accessible visual styles, then produce files ready to include in LaTeX documents.
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Turn regression results and summary statistics from Stata, R, or Python into LaTeX tables for academic papers. Format model comparisons, decimal places, statistical significance markers, and notes, with guidance for wide tables and inclusion in a paper.
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Statistics, probability, linear algebra, and mathematical foundations for data science
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