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Load Anomaly Guard
load-anomaly-guard
Detects unsafe training load spikes (>20-30% week-over-week) and emits safety flags. Use in nightly background jobs or when reviewing weekly training volume with conservative adjustment recommendations.
SKILL.md
Full skill instructions
When Claude should use this skill
- Nightly background check on training data
- Immediately after a high-intensity or long run is logged
- When analyzing weekly training load patterns for safety issues
Invocation guidance
- Provide recent
TrainingHistory, plannedPlanwindow, and any injury flags. - Compute week-over-week changes and monotony; flag spikes > deterministic caps.
- Suggest adjustments (rest/swaps) and emit
SafetyFlag[].
Input schema
See references/input-schema.json.
Output schema
See references/output-schema.json.
Integration points
- Background job: nightly cron.
- API:
v0/app/api/plan/load-guard(new) returning flags + suggested adjustments. - UI: Badge on Plan/Today screens; push/email via
v0/lib/email.ts.
Safety & guardrails
- If spike >20–30% week-over-week, emit
load_spikeand recommend rest or reduced volume. - If injury signals present, bias toward
rest-dayadjustments. - No medical diagnosis; advise professional consult on repeated spikes or pain.
Telemetry
- Emit
ai_skill_invoked,ai_safety_flag_raised, and optionallyai_adjustment_appliedwhen suggestions are auto-applied.
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