Health & Fitness

Pre-run safety gate that evaluates readiness and recommends proceed/modify/skip decisions. Use before scheduled workouts to assess recovery status, injury signals, and training load based on sleep, soreness, and recent activity.

Run local system diagnostics and model benchmarks across CPU, memory, GPU, NPU, Docker, and Kubernetes; use when asked to benchmark, health-check, or collect environment diagnostics, and store a summary in memory.

Diagnose and repair embedding model availability and MSHR index health; use when embedding errors, dimension mismatches, or rebuild failures appear.

Intelligent MCP server recommendation engine based on quantitative domain analysis. Maps projectdomains (Frontend %, Backend %, Database %, etc.) to appropriate MCP servers using tier-basedpriority system (Mandatory > Primary > Secondary > Optional). Performs health checking, generatessetup instructions, provides fallback chains. Use when: analyzing project needs, configuring MCPs,checking MCP health, recommending alternatives.

Generate comprehensive multi-tenant security and operational reports from LimaCharlie. Provides billing summaries, usage roll-ups, detection trends, sensor health monitoring, and configuration audits across multiple organizations. Supports both per-tenant detailed breakdowns and cross-tenant aggregated roll-ups. Built with strict data accuracy guardrails to prevent fabricated metrics. Supports partial report generation when some organizations fail, with transparent error documentation. Time windows always displayed, detection limits clearly flagged, zero cost calculations.

Monitor and analyze machine health

Spring Boot 4 observability with Actuator, Micrometer, and OpenTelemetry. Use when configuring health indicators, custom metrics, distributed tracing, production endpoint exposure, or Kubernetes/Cloud Run probes. Covers Actuator security, Micrometer Timer/Counter/Gauge patterns, and OpenTelemetry span customization.

Analyze crop and plant disease images using the Plantix Falcon API. Use when user uploads images of plants, crops, leaves, or asks about plant health, disease identification, or agricultural diagnostics. Provides disease diagnosis, symptoms, treatment recommendations, and preventive measures.

Runs this project's full suite of validation and health checks. Use when 'something is wrong' or for a general checkup.

Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application. | Dùng khi giải quyết vấn đề, tìm giải pháp, phân tích, tối ưu, thuật toán, bị kẹt.

Monitor deployed infrastructure health and performance - check resource status, query CloudWatch metrics (CPU, memory, requests, errors), analyze performance trends, track SLI/SLO metrics, detect anomalies, generate health reports with resource status summaries, identify degraded services, provide performance optimization recommendations.

Monitor database health and detect issues across environments

Manages Claude Skills ecosystem setup, maintenance, and repo health. Checks environment (Python, uv, npm, git), discovers available skills, installs dependencies, performs routine maintenance, and generates an adaptive-growth backlog from recent commits. Triggers - "setup skills", "check environment", "list skills", "install dependencies", "skill maintenance", "discover skills", "skill guide", "adaptive growth", "generate growth backlog".

Enables autonomous context management for codebases through claude.md files. Use when creating, maintaining, or synchronizing AI agent context. Provides tools and workflows for monitoring context health, detecting staleness, and updating intelligently. Helps Claude work proactively as a context manager.

Provides categorical organization for tasks using a predefined set of seven standard tags (Work, Personal, Shopping, Health, Finance, Learning, Urgent). Enforces tag validation rules including duplicate prevention and 5-tag maximum per task.

Staging and production deployment using Laravel Deployer with health checks, cache management, and rollback support (HUMAN-ONLY execution)

This skill should be used when the user asks to "validate requirements", "review requirements quality", "check requirements completeness", "verify traceability", "check INVEST compliance", "validate user stories", "requirements health check", "quality gate check", or when running /re:review validation.

Recomputes upcoming workouts based on recent runs and user feedback. Use when recent performance deviates from plan, user provides negative feedback, or recovery signals indicate adjustment needed with deterministic safety caps.

Audit infrastructure status, health, and compliance without modifications - provides observability and drift detection

Create personalized workout plans and provide exercise guidance