Health & Fitness

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.

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.

Calculates total power consumption and battery life for Arduino/ESP32/RP2040 projects. Use when user asks about battery life, power requirements, current draw, or needs to estimate runtime. Includes sleep mode analysis, power optimization tips, and battery sizing recommendations. Run scripts/calculate_power.py for accurate calculations.

Modular architecture health assessor for Logseq Template Graph. Analyzes module balance, cohesion, size distribution, and dependencies. Calculates health scores and suggests reorganization. Use when checking module structure, assessing architecture quality, or planning refactoring.

Comprehensive Kubernetes cluster health diagnostics using dynamic API discovery. Use when checking cluster health, troubleshooting K8s issues, or running health assessments.

Keep pull requests and issues healthy using gh CLI (list, view, comment, close).

Check Kubernetes cluster health and status. Use when checking nodes, pods, deployments, or overall cluster health.

Comprehensive Asset Inventory & Coverage Tracker for LimaCharlie. Builds sensor inventories, detects coverage gaps (stale/silent endpoints, Shadow IT), calculates risk scores, validates telemetry health, and compares actual vs expected assets. Use for fleet inventory, coverage SLA tracking, offline sensor detection, telemetry health checks, asset compliance audits, or when asked about endpoint health, asset management, or coverage gaps.

Performs comprehensive diagnostics on the codex cache system, detects issues, and can fix them automatically with repair operations.Delegates to fractary CLI for health checks and diagnostics.

Reduce churn and improve retention through cohort analysis, at-risk user identification, win-back campaigns, and customer success strategies. Generate comprehensive HTML reports with retention curves, health scores, churn analysis, and 90-day implementation roadmaps.

Validate that Skill() invocations use full prefixed names. Use when (1) before creating a pull request to ensure skill references resolve correctly, (2) after adding new skills to verify invocations use proper names, (3) when verifying repository health, (4) as part of comprehensive validation alongside other check skills.

Track architectural decisions and detect drift from ADRs (Architecture Decision Records). Calculate alignment score (0.00-1.00) showing code-to-design conformance. Auto-detect architectural violations and suggest refactoring. Integrate with Serena for architectural health monitoring. Use when: maintaining architectural integrity, reviewing large changes, documenting decisions, detecting drift, enforcing standards.

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.

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".

Generate Python boilerplate code for DAPR microservices, workflows, and actors. Creates properly structured services with DAPR SDK integration, health endpoints, logging, and best practices. Use when creating new services, adding DAPR features, or scaffolding projects.

Comprehensive guide for implementing AIDB tests following E2E-first philosophy, DebugInterface abstraction, and MCP response health standards

Generates pacing and fueling strategies for target races based on current fitness and course constraints.

Use DigitalOcean MCP and related tools to check deployment health, crash logs, environment consistency, and runtime issues for Unite-Hub / Synthex. Use when diagnosing deployment failures or verifying readiness.

Master agile metrics with velocity, burn-down charts, cycle time, and team health indicators for data-driven improvement.

Plan and run canary or blue-green rollouts with health gates and rollback criteria; use when asked to deploy safely with progressive traffic shifting.