數據科學
1726 skills in 數據與 AI > 數據科學
seer
Set up GPU sandboxes for interpretability research. Use when writing setup.py scripts with Sandbox, SandboxConfig, ModelConfig, or create_notebook_session. Provides the exact API for Modal GPU environments - MUST read before writing any sandbox setup code.
wp-performance-review
WordPress performance code review and optimization analysis. Use when reviewing WordPress PHP code for performance issues, auditing themes/plugins for scalability, optimizing WP_Query, analyzing caching strategies, checking code before launch, or detecting anti-patterns, or when user mentions "performance review", "optimization audit", "slow WordPress", "slow queries", "high-traffic", "scale WordPress", "code review", "timeout", "500 error", "out of memory", or "site won't load". Detects anti-patterns in database queries, hooks, object caching, AJAX, and template loading.
ai-elements-chatbot
shadcn/ui AI chat components for conversational interfaces. Use for streaming chat, tool/function displays, reasoning visualization, or encountering Next.js App Router setup, Tailwind v4 integration, AI SDK v5 migration errors.
gene-set-enrichment
Perform gene set enrichment analysis using AI research providers. Analyzes lists of genes to identify biological themes, pathways, and functional associations.
chain-roleplay-debate-synthesis
Use when facing decisions with multiple legitimate perspectives and inherent tensions. Invoke when stakeholders have competing priorities (growth vs. sustainability, speed vs. quality, innovation vs. risk), need to pressure-test ideas from different angles before committing, exploring tradeoffs between incompatible values, synthesizing conflicting expert opinions into coherent strategy, or surfacing assumptions that single-viewpoint analysis would miss.
understanding-mistakes
Use when user says something went wrong, AI did Y instead of X, or wants to understand why a deviation happened. Manually invoked post-mortem analysis.
process-mapper
Map workflows, extract SOPs, and identify automation opportunities through systematic process capture and AI tractability assessment. Use when documenting workflows, creating SOPs, conducting process discovery interviews, or analyzing automation opportunities. Grounds the SOP-first doctrine in tacit knowledge documentation and structured analysis.
d3-visualization
Use when creating custom, interactive data visualizations with D3.js—building bar/line/scatter charts from scratch, creating network diagrams or geographic maps, binding changing data to visual elements, adding zoom/pan/brush interactions, animating chart transitions, or when chart libraries (Highcharts, Chart.js) don't support your specific visualization design and you need low-level control over data-driven DOM manipulation, scales, shapes, and layouts.
strategy-and-competitive-analysis
Use when developing business strategy (market entry, product launch, geographic expansion, M&A, turnaround), conducting competitive analysis (profiling competitors, assessing competitive threats, Porter's 5 Forces, identifying differentiation), applying strategic frameworks (Good Strategy kernel with diagnosis/guiding policy/coherent actions, SWOT, Blue Ocean Strategy, Playing to Win where-to-play/how-to-win, Value Chain Analysis, BCG Matrix), making strategic decisions under constraints (build vs buy, pricing strategy, market positioning, business model choices), planning strategic initiatives (annual planning, OKRs, roadmaps), evaluating competitive positioning (moats, sustainable advantages, differentiation vs cost leadership), or when user mentions "strategy", "competitive analysis", "Porter's 5 Forces", "SWOT", "market positioning", "strategic planning", "competitive landscape", or "strategic frameworks".
visualization-choice-reporting
Use when you need to choose the right visualization for your data and question, then create a narrated report that highlights insights and recommends actions. Invoke when analyzing data for patterns (trends, comparisons, distributions, relationships, compositions), building dashboards or reports, presenting metrics to stakeholders, monitoring KPIs, exploring datasets for insights, communicating findings from analysis, or when user mentions "visualize this", "what chart should I use", "create a dashboard", "analyze this data", "show trends", "compare these metrics", "report on", "what does this data tell us", or needs to turn data into actionable insights. Apply to business analytics (revenue, growth, churn, funnel, cohort, segmentation), product metrics (usage, adoption, retention, feature performance, A/B tests), marketing analytics (campaign ROI, attribution, funnel, customer acquisition), financial reporting (P&L, budget, forecast, variance), operational metrics (uptime, performance, capacity, SLA), sales
ethics-safety-impact
Use when decisions could affect groups differently and need to anticipate harms/benefits, assess fairness and safety concerns, identify vulnerable populations, propose risk mitigations, define monitoring metrics, or when user mentions ethical review, impact assessment, differential harm, safety analysis, vulnerable groups, bias audit, or responsible AI/tech.
cognitive-design
Use when designing visual interfaces, data visualizations, educational content, or presentations and need to ensure they align with how humans naturally perceive, process, and remember information. Invoke when user mentions cognitive load, visual hierarchy, dashboard design, form design, e-learning, infographics, or wants to improve clarity and reduce user confusion. Also applies when evaluating existing designs for cognitive alignment or choosing between design alternatives.
pm-analyst
End-to-end PM workflow - from data analysis to pragmatic Linear tickets. Analyzes user behavior, identifies opportunities, creates specs, and audits for simplicity.
generating-shell
Generates, explains, and plans shell commands, bash scripts, unix pipelines, awk/sed/grep expressions. Use when user requests shell commands, bash scripts, terminal commands, unix pipes, scripting help, or command syntax assistance. Do not use for web research or document analysis.
asking-gemini
Architecture advice, design trade-offs, brainstorming, comparing approaches via Gemini. Use when user asks about architecture decisions, system design, design patterns, trade-offs analysis, brainstorming ideas, comparing options, or creative problem-solving. Supports SCAMPER, design thinking, divergent/convergent thinking methodologies. Do not use for web searches or shell commands.
communication-storytelling
Use when transforming analysis/data into persuasive narratives—presenting to executives, explaining technical concepts to non-technical audiences, creating customer-facing communications, writing investor updates, announcing changes, turning research into insights, or when user mentions "write this for", "explain to", "present findings", "make this compelling", "audience is". Invoke when information needs to become a story tailored to specific stakeholders.
mapping-visualization-scaffolds
Use when complex systems need visual documentation, mapping component relationships and dependencies, creating hierarchies or taxonomies, documenting process flows or decision trees, understanding system architectures, visualizing data lineage or knowledge structures, planning information architecture, or when user mentions concept maps, system diagrams, dependency mapping, relationship visualization, or architecture blueprints.
researching-web-gemini
Searches the web, researches topics online, finds current information using Gemini with Google Search grounding. Use when user asks to search the web, research information, find sources, look up current events, technology updates, or gather real-time data from the internet. Do not use for local file analysis or code execution.
product-analytics
Framework for analyzing product usage data and identifying patterns. Use when performing deep analysis of user behavior and engagement metrics.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures understanding before attempting solutions