數據科學

Labeled multidimensional arrays for scientific data analysis with Xarray

Comprehensive frontend development skill for building modern, performant web applications using React, Next.js, 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.

Apply structured analytical frameworks to any artifact (prompts, systems, documents, code). 12 frameworks in 3 tiers: Core (4 universal), Auto-Invoke (specialized), On-Demand (advanced). Includes adversarial-review for finding blind spots and post-plan validation workflow.

Fetch GitHub issue details with AI analysis comment from github-actions bot, extracting structured data for architecture planning in WescoBar workflows

Structured problem-solving through iterative reasoning with revision and branching capabilities for complex problems. Use when tackling multi-step problems with uncertain scope, design planning, architecture decisions, or systematic decomposition. Auto-activates when user asks about breaking down epics, designing systems, assessing complexity, or performing root-cause analysis. Uses 6-step process: Initial assessment (rough estimate) → Iterative reasoning (learn progressively) → Dynamic scope adjustment (refine as understanding deepens) → Revision mechanism (update when assumptions change) → Branching for alternatives (explore multiple approaches) → Conclusion (synthesize findings). Supports explicit uncertainty acknowledgment within thoughts. Adjusts total thought count dynamically (e.g., "Thought 3/8" when initially estimated 5). Recommends binary search for intermittent issues and five-whys technique for root causes.

Strategic competitive analysis framework for evaluating skills, commands, agents, and product features against external repositories and competitors

Update development memory (events.jsonl) based on commit metadata and diff analysis. Automatically tracks features, fixes, refactorings, and decisions.

Guides intelligent planning strategies with automatic phase detection and complexity assessment. Auto-activates when users mention epic breakdown, feature decomposition, scope estimation, dependency analysis, risk identification, or ask "how do I plan this complex task", "break down this feature", "what's the scope", "estimate effort", "identify dependencies", or "planning strategy". Provides interactive planning mode with 6 planning phases (complexity assessment, scope definition, dependency analysis, risk identification, task breakdown, effort estimation). Works with sequential-thinking for complex decomposition, docs-seeker for research, pm-workflow-guide for command suggestions, and linear-subagent-guide for Linear integration.

Evidence-based codebase investigation methodology. Use when analyzing codebases, understanding architecture, exploring patterns, or investigating technical problems. Triggers when user asks to analyze, investigate, understand, research, or explore code. Core foundation for analyst and debugger agents.

Systematically analyze GitHub tickets with proper local reproduction. Automatically substitutes production URLs with local DDEV hosts, ensures database sync, downloads missing assets, and reproduces issues locally before proposing solutions.

Use when maintaining, enhancing, or modifying existing Claude Code plugins - handles skills, commands, agents, hooks, and reference sheets through systematic domain analysis, structure review, behavioral testing, and quality improvements

Expert in test suite analysis, coverage assessment, and test quality evaluation

Security auditing and vulnerability detection using OWASP patterns, CWE analysis, and threat modeling. Use when auditing code for security issues, reviewing authentication/authorization, evaluating input validation, analyzing cryptographic usage, reviewing dependency security, or when security-audit, vulnerability-scan, OWASP, threat-model, or --security are mentioned.

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

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

Comprehensive Kubernetes and OpenShift cluster health analysis and troubleshooting based on Popeye's issue detection patterns. Use this skill when: (1) Proactive cluster health assessment and security analysis (2) Analyzing pod/container logs for errors or issues (3) Interpreting cluster events (kubectl get events) (4) Debugging pod failures: CrashLoopBackOff, ImagePullBackOff, OOMKilled, etc. (5) Diagnosing networking issues: DNS, Service connectivity, Ingress/Route problems (6) Investigating storage issues: PVC pending, mount failures (7) Analyzing node problems: NotReady, resource pressure, taints (8) Troubleshooting OCP-specific issues: SCCs, Routes, Operators, Builds (9) Performance analysis and resource optimization (10) Security vulnerability assessment and RBAC validation (11) Configuration best practices validation (12) Reliability and high availability analysis

Systematic debugging methodology using evidence-based investigation to identify root causes. Use when encountering bugs, errors, unexpected behavior, failing tests, or intermittent issues. Enforces four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) with the iron law NO FIXES WITHOUT ROOT CAUSE FIRST. Covers runtime errors, logic bugs, integration failures, and performance issues. Useful when debugging, troubleshooting, investigating failures, or when --debug flag is mentioned.

Threat modeling methodologies using STRIDE, attack trees, and risk assessment for proactive security analysis. Use when designing secure systems, conducting security reviews, or identifying potential attack vectors in applications.

Spawn 5 parallel Explore agents to discover project constraints. TRIGGERS - constraint scan, degrees of freedom, /ralph:start Step 1.4.5, project memory analysis.

This skill analyzes diagram, chart, or simulation specifications and returns a ranked list of the most suitable MicroSim generator skills to use. It compares the specification against capabilities of all available microsim generators (p5.js, ChartJS, Plotly, Mermaid, vis-network, timeline, map, Venn, bubble) and provides match scores (0-100) with detailed reasoning for each recommendation. Use this skill when a user has a diagram specification and needs guidance on which MicroSim generator skill to use.