r-data-science
R programming for data analysis, visualization, and statistical workflows. Use when working with R scripts (.R), Quarto documents (.qmd), RMarkdown (.Rmd), or R projects. Covers tidyverse workflows, ggplot2 vis...
发现 blockchain data analysis 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
R programming for data analysis, visualization, and statistical workflows. Use when working with R scripts (.R), Quarto documents (.qmd), RMarkdown (.Rmd), or R projects. Covers tidyverse workflows, ggplot2 vis...
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona c...
Create factual working journal entries in Notes/WorkingJournal/ after completing analysis work. Use when user asks to "summarize work", "document results", or "create working journal entry". Ensures code is com...
Visualize subagent task dependencies using ASCII diagrams before launching agents and create comprehensive HTML summaries after completion.
Deep EDN template analyzer for Logseq database graphs. Analyzes template structure, counts classes/properties, finds orphaned items, checks quality, and compares variants. Use when analyzing template files, fin...
WCAG-compliant Mermaid diagrams using verified accessible color palette. Use when creating diagrams, flowcharts, or any color-dependent visualizations requiring accessibility compliance for color blindness.
Analyze OpenCode conversation history to identify themes and patterns in user messages. Use when asked to analyze conversations, find themes, review how a user steers agents, or extract insights from session hi...
Extended reasoning analysis using sequential thinking. Use for deep exploration, comprehensive analysis, complex decisions, or when you need fresh perspectives on difficult problems.
Generate comprehensive work summaries from daily notes or conversation context. Use for performance reviews, project retrospectives, or documenting completed work with timeline and impact.
Real-time monitoring of ClickHouse metrics, events, and asynchronous metrics. Use for load average, connections, queue monitoring, and resource saturation.
Diagnose ClickHouse RAM usage, OOM errors, memory pressure, and allocation patterns. Use for memory-related issues and out-of-memory errors.
Diagnose ClickHouse disk usage, compression efficiency, part sizes, and storage bottlenecks. Use for disk space issues and slow IO.
Diagnose ClickHouse INSERT performance, batch sizing, part creation patterns, and ingestion bottlenecks. Use for slow inserts and data pipeline issues.
Diagnose ClickHouse SELECT query performance, analyze query patterns, identify slow queries, and find optimization opportunities. Use for query latency and timeout issues.
Unified markdown and OpenCode component specialist providing document quality enforcement (structure, style), content optimization for AI assistants, complete component creation workflows (skills, agents, comma...
Overview of protected quality thresholds and quick reference for all quality tools. Use when you need to understand quality metrics, run comprehensive quality checks, or learn which specialized skill to use. Fo...
Senior Progress Analyst & Conductor Strategist. Expert in Predictive Project Tracking and Agentic Milestone Management for 2026.
Analyze Mixpanel analytics data using the mixpanel_data Python library or mp CLI. Use when working with Mixpanel event data, user profiles, funnels, retention, cohorts, segmentation queries, JQL scripts, or SQL...
Configure and manage data quality tests, profiling, alerts, and incidents in OpenMetadata. Use when setting up quality tests, configuring profiler workflows, creating observability alerts, or triaging data qual...
Comprehensive multi-dimensional skill reviews across structure, content, quality, usability, and integration. Task-based operations with automated validation, manual assessment, scoring rubrics, and improvement...
Comprehensive analysis operations for code, skills, processes, data, and patterns. Task-based operations with pattern recognition, metrics calculation, trend identification, and actionable insights generation....
Automated pattern recognition in Claude Code telemetry. Use when detecting failures, slowness, anomalies, trends, inefficiencies, conversation patterns, or tool sequences.
Query and analyze Claude Code observability data (metrics, logs, traces). Use when analyzing performance, costs, errors, tool usage, sessions, conversations, or subagents.
Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment. Task-based operations for feedback collection, effectiveness measurement, trend analysis, and insight extraction. Us...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。