數據科學
1726 skills in 數據與 AI > 數據科學
audit-logging
Immutable audit logging patterns for compliance and security. Covers event design, storage strategies, retention policies, and audit trail analysis.
aerospace-config
Complete AeroSpace tiling window manager configuration assistant for macOS. Use for any AeroSpace configuration task including keybindings, workspace management, window rules, layouts (BSP, columns, rows, accordion), focus behavior, gaps, floating windows, app-specific settings, exec commands, or any window management customization. Also use for debugging and troubleshooting AeroSpace issues including log inspection, window state analysis, and diagnosing layout problems. This skill fetches fresh documentation for each request to ensure accurate, up-to-date guidance.
Issue Analysis with Label Inference
Analyze GitHub Issues and automatically infer appropriate labels from Miyabi's 57-label system across 11 categories. Use when creating or triaging Issues, or when label inference is needed.
astro-aso
Query local Astro Mac app database for ASO insights. Use when the user asks about keyword rankings, historical ranking data, trend analysis, competitor keywords, app ratings, keyword opportunities, or ASO health metrics.
pptx
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
create-plan
Generate detailed implementation plans for complex tasks. Creates comprehensive strategic plans in Markdown format with objectives, step-by-step implementation tasks using checkbox format, verification criteria, risk assessments, and alternative approaches. All plans MUST be validated using the included validation script. Use when users need thorough analysis and structured planning before implementation, when breaking down complex features into actionable steps, or when they explicitly ask for a plan, roadmap, or strategy. Strictly planning-focused with no code modifications.
ghe-report
Generate DETAILED reports with metrics, health checks, or epic-specific analysis. More comprehensive than quick status overview. USE THIS SKILL WHEN: - User asks for "metrics" or "statistics" or "performance report" - User asks for "health check" or "workflow health" or "compliance check" - User asks for "epic report" or "epic status for X" - User asks for "detailed report" or "comprehensive report" - User asks "how are we performing" or "what's our throughput" - User asks about "cycle times" or "demotion rates" - User wants analysis, not just current state REPORT TYPES: - metrics: Throughput, cycle times, first-pass rates, demotion rates - health: Compliance status, stale threads, violation history, memory bank status - epic: Single epic details with thread history, progress, decisions DO NOT USE THIS SKILL WHEN: - User just wants QUICK status overview (use ghe-status) - User wants to CLAIM an issue (use ghe-claim) - User wants to POST a checkpoint (use ghe-checkpoint) - User wants to TRANSITION phases (use ghe-transition) KEY DIFFERENCE FROM ghe-status: - ghe-status = quick overview, current state, what's active - ghe-report = detailed analysis, metrics, trends, health assessment EXAMPLES: <example> Context: User wants performance metrics user: "Show me the workflow metrics" assistant: "I'll use ghe-report with type 'metrics' for detailed performance analysis" </example> <example> Context: User wants to check workflow compliance user: "Run a health check on the workflow" assistant: "I'll use ghe-report with type 'health' to assess workflow compliance" </example> <example> Context: User wants details on specific epic user: "Give me a report on the jwt-auth epic" assistant: "I'll use ghe-report with type 'epic' for jwt-auth" </example> <example> Context: User asks about performance trends user: "What's our first-pass review rate?" assistant: "I'll use ghe-report with type 'metrics' to get performance statistics" </example>
claude-scientific-skills
Comprehensive collection of 128+ ready-to-use scientific skills for Claude enabling research across biology, chemistry, medicine, genomics, and advanced analysis domains.
swot-pestle-analysis
Strategic environmental analysis using SWOT, PESTLE, and Porter's Five Forces. Creates structured assessments with Mermaid visualizations for competitive positioning and strategic planning.
field-agent-visualization
Professional Plotly visualization best practices for Field Agents including chart specifications, color palettes, formatting standards, and JSON structure requirements for executive-ready data visualizations
arxiv-categorical-ai
Systematic analysis patterns for categorical AI papers (Gavranović, de Wynter, Bradley, Zhang). Use when analyzing academic papers on categorical deep learning, extracting categorical structures from AI research, mapping meta-prompting concepts to category theory, or building comprehensive literature reviews on categorical approaches to AI.
senior-frontend
Comprehensive frontend development skill for building modern, performant web applications using ReactJS, NextJS, TypeScript, Tailwind CSS. Includes component scaffolding, performance optimization, bundle analysis, and UI best practices. Use when developing frontend features, optimizing performance, implementing UI/UX designs, managing state, or reviewing frontend code.
decision-analysis
Decision modeling using decision tables, weighted scoring matrices, and decision trees. Structures complex decisions with clear criteria, alternatives evaluation, and outcome prediction.
file-categorization
Reusable logic for categorizing files as Command, Agent, Skill, or Documentation based on structure and content analysis
literature-review
Conduct systematic scientific literature reviews by integrating multi-source searches, iterative analysis, and synthesis into well-structured reports with proper citations. Use this skill when you need to: synthesize knowledge across multiple research domains, identify research gaps, track the evolution of methodologies, evaluate evidence quality, or write comprehensive literature reviews for academic papers, grant proposals, or research projects. Key capabilities: multi-database search strategies, iterative query refinement, content analysis and summarization, thematic synthesis, citation management, quality assessment, bias detection, and structured report generation with multiple output formats.
journey-mapping
User and customer journey mapping for experience analysis. Creates journey maps with touchpoints, emotions, pain points, and opportunity identification.
rts-fix-suggester
Suggest fixes for OSS-Fuzz build.sh and test.sh scripts based on RTS log analysis. Use when user asks how to fix build failures, test failures, or wants to skip failing test classes. Generates specific code modifications for Maven test configurations.
academic-writing-style
Personalized academic writing assistant for university assignments in Chinese and English. Use when users need help writing/revising academic reports, project docs, technical analyses, research reviews, or case studies. Produces natural prose avoiding AI markers. Triggers: academic writing, assignment, report, technical analysis, research review, case study. | 个性化学术写作助手,适用于中英文大学作业。触发词:学术写作、作业、报告、技术分析、研究综述、案例研究、项目文档。
performance-profiler
CPU/memory profiling, database query optimization, and performance analysis
perplexity-researcher-pro
Complex research requiring deeper analysis, multi-step reasoning, and sophisticated source evaluation for technical, academic, or specialized domain queries needing expert-level analysis, high-stakes decisions, or multi-layered problem solving.