數據科學

Copilot agent that assists with requirements analysis, user story creation, specification definition, and acceptance criteria definition Trigger terms: requirements, EARS format, user stories, functional requirements, non-functional requirements, SRS, requirement analysis, specification, acceptance criteria, requirement validation Use when: User requests involve requirements analyst tasks.

Copilot agent that assists with comprehensive code review focusing on code quality, SOLID principles, security, performance, and best practices Trigger terms: code review, review code, code quality, best practices, SOLID principles, code smells, refactoring suggestions, code analysis, static analysis Use when: User requests involve code reviewer tasks.

Copilot agent that assists with bug investigation, root cause analysis, and fix generation for efficient debugging and issue resolution Trigger terms: bug fix, debug, troubleshoot, root cause analysis, error investigation, fix bug, resolve issue, error analysis, stack trace Use when: User requests involve bug hunter tasks.

Validates complete requirements traceability across EARS requirements → design → tasks → code → tests. Trigger terms: traceability, requirements coverage, coverage matrix, traceability matrix, requirement mapping, test coverage, EARS coverage, requirements tracking, traceability audit, gap detection, orphaned requirements, untested code, coverage validation, traceability analysis. Enforces Constitutional Article V (Traceability Mandate) with comprehensive validation: - Requirement → Design mapping (100% coverage) - Design → Task mapping - Task → Code implementation mapping - Code → Test mapping (100% coverage) - Gap detection (orphaned requirements, untested code) - Coverage percentage reporting - Traceability matrix generation Use when: user needs traceability validation, coverage analysis, gap detection, or requirements tracking across the full development lifecycle.

Analyzes impact of proposed changes on existing systems (brownfield projects) with delta spec validation. Trigger terms: change impact, impact analysis, brownfield, delta spec, change proposal, change management, existing system analysis, integration impact, breaking changes, dependency analysis, affected components, migration plan, risk assessment, brownfield change. Provides comprehensive change analysis for existing systems: - Affected component identification - Breaking change detection - Dependency graph updates - Integration point impact - Database migration analysis - API compatibility checks - Risk assessment and mitigation strategies - Migration plan recommendations Use when: proposing changes to existing systems, analyzing brownfield integration, or validating delta specifications.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications, OR when they provide screenshots/images/designs to replicate or draw inspiration from. For screenshot inputs, extracts design guidelines first using ai-multimodal analysis, then implements code following those guidelines. Generates creative, polished code that avoids generic AI aesthetics.

Conducts in-depth analysis of a specific source or topic, producing comprehensive summaries for research synthesis. Use when you need detailed analysis and documentation of individual sources as part of a larger research effort.

Copilot agent that assists with architecture design, C4 model diagrams, ADR creation, and tradeoff analysis Trigger terms: architecture, system design, C4 model, ADR, architecture decision, design patterns, component design, architecture diagram, microservices, monolith, scalability Use when: User requests involve system architect tasks.

Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottleneck analysis, scalability, latency optimization, memory optimization, query optimization Use when: User requests involve performance optimizer tasks.

Copilot agent that assists with bug investigation, root cause analysis, and fix generation for efficient debugging and issue resolution Trigger terms: bug fix, debug, troubleshoot, root cause analysis, error investigation, fix bug, resolve issue, error analysis, stack trace Use when: User requests involve bug hunter tasks.

Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottleneck analysis, scalability, latency optimization, memory optimization, query optimization Use when: User requests involve performance optimizer tasks.

Build immersive 3D web experiences with Three.js - WebGL/WebGPU library for scenes, cameras, geometries, materials, lights, animations, loaders, post-processing, shaders (including node-based TSL), compute, physics, VR/XR, and advanced rendering. Use when creating 3D visualizations, games, interactive graphics, data viz, product configurators, architectural walkthroughs, or WebGL/WebGPU applications. Covers OrbitControls, GLTF/FBX loading, PBR materials, shadow mapping, post-processing effects (bloom, SSAO, SSR), custom shaders, instancing, LOD, animation systems, and WebXR.

Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus, Grafana, Datadog, New Relic, ELK stack, logs, metrics, traces, on-call, production monitoring, health checks, uptime, availability, dashboards, post-mortem, incident management, runbook. Completes SDD Stage 8 (Monitoring) with comprehensive production observability: - SLI/SLO definitions and tracking - Monitoring stack setup (Prometheus, Grafana, ELK, Datadog, etc.) - Alert rules and notification channels - Incident response runbooks - Observability dashboards (logs, metrics, traces) - Post-mortem templates and analysis - Health check endpoints - Error budget tracking Use when: user needs production monitoring, observability platform, alerting, SLOs, incident response, or post-deployment health tracking.

Copilot agent that assists with systematic design review using ATAM (Architecture Tradeoff Analysis Method), SOLID principles, design patterns, coupling/cohesion analysis, error handling, and security requirements Trigger terms: design review, architecture review, ATAM, SOLID principles, design patterns, coupling, cohesion, ADR review, C4 review, architecture analysis, design quality Use when: User requests involve design document review, architecture evaluation, or design quality assessment tasks.

Copilot agent that assists with comprehensive code review focusing on code quality, SOLID principles, security, performance, and best practices Trigger terms: code review, review code, code quality, best practices, SOLID principles, code smells, refactoring suggestions, code analysis, static analysis Use when: User requests involve code reviewer tasks.

Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus, Grafana, Datadog, New Relic, ELK stack, logs, metrics, traces, on-call, production monitoring, health checks, uptime, availability, dashboards, post-mortem, incident management, runbook. Completes SDD Stage 8 (Monitoring) with comprehensive production observability: - SLI/SLO definitions and tracking - Monitoring stack setup (Prometheus, Grafana, ELK, Datadog, etc.) - Alert rules and notification channels - Incident response runbooks - Observability dashboards (logs, metrics, traces) - Post-mortem templates and analysis - Health check endpoints - Error budget tracking Use when: user needs production monitoring, observability platform, alerting, SLOs, incident response, or post-deployment health tracking.

Optimize performance with profiling, caching strategies, database query optimization, and bottleneck analysis. Use when improving response times, implementing caching layers, or scaling for high load.

Writes, reviews, and refactors Python code following modern best practices. Specialises in Python 3.12+, uv for project management, type hints, polars over pandas, pydantic for validation, and pytest for testing. Use when working with Python code.

Create exceptional, publication-quality Mermaid diagrams for ERDs, flowcharts, sequence diagrams, and system visualizations. Use this skill when the user needs to visualize data models, processes, or architecture. Generates clear, refined diagrams that communicate complex systems with precision.

Python backend developer for FastAPI, Django, Flask APIs with SQLAlchemy, Django ORM, Pydantic validation. Implements REST APIs, async operations, database integration, authentication, data processing with pandas/numpy, machine learning integration, background tasks with Celery, API documentation with OpenAPI/Swagger. Activates for: Python, Python backend, FastAPI, Django, Flask, SQLAlchemy, Django ORM, Pydantic, async Python, asyncio, uvicorn, REST API Python, authentication Python, pandas, numpy, data processing, machine learning, ML API, Celery, Redis Python, PostgreSQL Python, MongoDB Python, type hints, Python typing.