lagoon-protocol-health
Monitor protocol-wide KPIs, identify TVL trends, generate executive summaries, and flag at-risk vaults for the internal operations team. Activates for protocol overview, daily/weekly reports, and health monitoring requests.
Monitor protocol-wide KPIs, identify TVL trends, generate executive summaries, and flag at-risk vaults for the internal operations team. Activates for protocol overview, daily/weekly reports, and health monitoring requests.
Calculate quarterly profit distribution options including standard distribution, debt destruction, and vault building strategies.
Generates race-day pacing and fueling strategies with contingency plans. Use when user has an upcoming race, asks for race preparation advice, or wants a printable race-day plan with segment pacing and fueling schedule.
Identifies technical, timeline, and dependency risks with mitigation strategies. Use when reviewing plans or implementations to catch potential issues early before they become problems.
Make well-calibrated probability estimates using superforecasting methodology. Use when user asks about probability, likelihood, chance, odds, "will X happen", "when will X happen", "how much will X cost", "what could go wrong", failure modes, risk assessment, forecasting, or any question involving uncertainty and estimation.
Generates pacing and fueling strategies for target races based on current fitness and course constraints.
Execute Sprint 1 tasks for FASA optimization and trade analytics. This skill should be used when the user requests execution of any Sprint 1 task (Tasks 1.1-1.4, 11-13, 2.1-2.4, 3.1-3.2), including cap space parsing, Sleeper integration, FASA target marts, FA acquisition history, roster depth analysis, enhanced FASA targets, notebooks, valuation models, trade analysis, automation workflows, or documentation. Each task is atomic, standalone, and designed for independent execution with built-in validation. Current focus: Phase 2 FASA Intelligence (Tasks 11-13, 1.4).
Identifies, evaluates, and mitigates project and task-level risks during planning. Use when assessing technical risks, evaluating complexity, identifying blockers, planning contingencies, or determining project confidence levels.
Assess injury/fatigue risk using current vs prior weeks from Strava MCP weekly_stats.
Enhanced streaming UI system with progress indicators, status displays, and interactive feedback mechanisms. Use when running long-running operations, displaying progress, providing user feedback, or when visual indicators enhance user experience during complex workflows.
Generates 14–21 day personalized running training plans with safe load progression. Use when user completes onboarding, requests a new plan, updates their running goals, or wants to export a training calendar.
Chat-based goal classification (habit/distance/speed/race) with constraint clarification. Use during onboarding or when user wants to update their running goals through conversation with weekly commitment discovery.
Generate a next-week training plan from weekly load + risk outputs (derived from Strava MCP data).
Analyzes completed runs to provide effort assessment, recovery recommendations, and next-session guidance. Use immediately after user saves a run, asks "how did I do?", or requests recovery advice.
Enhanced streaming UI system with progress indicators, status displays, and interactive feedback mechanisms. Use when running long-running operations, displaying progress, providing user feedback, or when visual indicators enhance user experience during complex workflows.
Generates 14–21 day running plans tailored to onboarding data and recent performance.
Log and analyze workouts. Use when the user wants to (1) record a workout at the gym via conversation, (2) parse workout markdown files to CSV, (3) query exercise history with DuckDB, or (4) track fitness progress. Triggers on "log workout", "record workout", "track workout", "add exercises", "what did I lift", etc.