Results for “expert”

Structured interview and observation techniques for extracting tacit knowledge from domain experts

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Analytical methods for decomposing expert performance into cognitive and physical task components

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Expert landscape designer transforming yards through photo mapping, 3D visualization, seasonal planning, and deep plant knowledge. Specializes in fast-growing privacy screens (knows arborvitae pitfalls), architecture-appropriate design, outdoor living spaces, and realistic maintenance expectations. Activate on "landscape design", "yard design", "garden planning", "plant selection", "privacy screen", "outdoor living", "backyard makeover", "arborvitae", "hedge", "fast growing tree", "landscaping ideas". NOT for interior design (use interior-design-expert), hardscape construction (consult contractors), or lawn care chemicals (consult local experts).

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Message queues, pub/sub, event sourcing with Kafka, RabbitMQ, Redis Streams. Activate on: event-driven, message queue, pub/sub, Kafka, RabbitMQ, event bus, async messaging, dead letter queue. NOT for: CQRS projections (use cqrs-event-sourcing-architect), real-time WebSocket (use websocket-realtime-expert), observability (use observability-apm-expert).

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Expert in drone systems, computer vision, and autonomous navigation. Specializes in flight control, SLAM, object detection, sensor fusion, and path planning. Activate on "drone", "UAV", "SLAM", "visual odometry", "PID control", "MAVLink", "Pixhawk", "path planning", "A*", "RRT", "EKF", "sensor fusion", "optical flow", "ByteTrack". NOT for domain-specific inspection tasks like fire detection, roof damage assessment, or thermal analysis (use drone-inspection-specialist), GPU shader optimization (use metal-shader-expert), or general image classification without drone context (use clip-aware-embeddings).

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Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).

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Detects and fixes color contrast violations using WCAG 2.1 guidelines and perceptual analysis. Expert in contrast ratio calculation, color blindness simulation, and providing accessible alternatives. Activate on "check contrast", "color accessibility", "WCAG audit", "readability check", "contrast ratio", "hard to read", "can't see text". NOT for general color theory (use color-theory-palette-harmony-expert), brand color selection (use web-design-expert), or non-visual accessibility (use ux-friction-analyzer).

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API gateway and reverse proxy configuration with Kong, Nginx, Traefik, routing, and auth middleware. Activate on: API gateway, reverse proxy, Kong, Nginx, Traefik, load balancer, ingress, auth middleware. NOT for: rate limiting algorithms (use api-rate-limiting-throttling-expert), service mesh (use service-mesh-microservices-expert).

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Token bucket, sliding window, and Redis-based rate limiting for API protection. Activate on: rate limiting, throttling, token bucket, sliding window, API abuse, DDoS protection, quota management. NOT for: API gateway setup (use api-gateway-reverse-proxy-expert), caching (use cache-strategy-invalidation-expert).

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Apply cognitive task analysis to expert work that depends on perceptual cues, branching judgment, and recurring monitoring loops. Use when decomposing expert capability into agent structure, simulation design, or validation interviews. NOT for ordinary step-by-step SOP capture or simple pipelines with no tacit cue layer.

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Trial protocol for teaching AI Matrx an expert's knowledge until the platform breaks, fixing it. Use when asked to run an expertise trial, distil a person/creator/recent video into a Masterwork, or test the capture product. NOT for a known-missing feature (use build-sub-feature).

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Create a Markdown questionnaire for decisions that depend on someone else's knowledge. Clarify the recipient and needed answers, then organize focused questions so an expert or stakeholder can respond before or during a meeting.

• Preparing questions for an expert
• Collecting stakeholder input before a decision
• Gathering specific answers during a meeting

Connect work from multiple AI agents to GitHub Projects. Synchronize task cards and statuses, assign work based on expertise and workload, and generate progress reports so teams can track assignments, priorities, and blockers on shared boards.

• Synchronize agent tasks with GitHub Projects cards
• Assign work based on expertise and workload
• Track sprint progress and blocked tasks

Simulate peer review through five perspectives covering journal fit, methods, subject expertise, interdisciplinary implications, and counterarguments. Receive separate review reports, an editorial decision, and a revision roadmap, or check whether revisions address earlier comments.

• Simulate peer review before journal submission
• Check research methods and statistical validity
• Test core arguments against counterarguments

Build Android screens with Jetpack Compose using guidance on UI state, navigation, Material Design 3, and rendering performance. Includes patterns for separating screen logic from reusable components and migrating existing XML layouts.

• Starting an Android app with Jetpack Compose
• Migrating XML layouts to Compose
• Managing loading, error, and content states

Creates software documentation using Diátaxis, a framework that separates learning, task instructions, reference information, and explanation. Clarifies the audience, goal, and scope, then proposes an outline before writing Markdown content consistent with existing documentation.

• Writing a practical tutorial for newcomers
• Creating a guide to solve a specific problem
• Organizing technical details into reference documentation

Learn GitHub Copilot CLI through guided lessons, multiple-choice quizzes, and practical scenarios. Track progress with experience points, review commands and settings, and check understanding with a final exam.

• Learning GitHub Copilot CLI step by step
• Reviewing slash commands and keyboard shortcuts
• Practicing CLI features through scenario challenges

Configure large language model training with NVIDIA Megatron-Core across multiple GPUs. This skill helps choose how to split computation, set training parameters, monitor GPU efficiency, and address memory limits or unstable training.

• Planning multi-GPU training for a LLaMA-style model
• Distributing MoE model experts across GPUs
• Tuning training throughput and GPU utilization

Plan a prospective clinical study by ranking endpoints, estimating participant numbers and statistical power, and assessing feasibility. Outputs include assumptions and named reviewers, providing material for expert review before a protocol is finalized.

• Choosing primary and secondary study endpoints
• Estimating sample size with dropout allowance
• Assessing feasibility before a study review

Plan ISO 27001 information security audits, review evidence that security controls work, and document findings. The skill also helps classify failures, track corrective actions, and prepare documentation for certification audits.

• Planning an annual internal audit
• Reviewing evidence for Annex A controls
• Documenting findings and corrective actions

Plan and conduct internal audits for medical device quality management systems under ISO 13485. Organize evidence, classify findings, verify corrective and preventive actions, and prepare for external audits with structured checklists and risk-based scheduling.

• Plan an annual internal audit schedule
• Document audit evidence and classify findings
• Verify the effectiveness of corrective actions

Manage Jira issues, build JQL searches, and design project workflows and reports. Use bundled scripts to generate search queries and check workflow designs, with guidance on which operations require Jira’s interface or API.

• Finding overdue or stale Jira issues
• Creating issues and updating their status
• Checking workflow designs for unreachable states

Organize Confluence documentation with clear page hierarchies, reusable templates, and access plans. Create and update pages, embed Jira reports, and audit existing content to identify outdated material and establish review responsibilities.

• Restructure a team's Confluence space
• Standardize meeting notes and decision logs
• Embed Jira issues and charts in documentation

Use n8n-mcp tools to find workflow steps, check settings, and create or update automations. Provides guidance on tool arguments, templates, folders, credentials, and security audits so agents can choose appropriate operations.

• Finding nodes and checking their settings
• Creating and updating workflows
• Finding and deploying workflow templates