load-anomaly-guard

name	load-anomaly-guard
description	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.
metadata	{"short-description":"Background load monitor that flags spikes and proposes protective changes."}

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

1. Provide recent TrainingHistory, planned Plan window, and any injury flags.
2. Compute week-over-week changes and monotony; flag spikes > deterministic caps.
3. 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_spike and recommend rest or reduced volume.
• If injury signals present, bias toward rest-day adjustments.
• No medical diagnosis; advise professional consult on repeated spikes or pain.

Telemetry

• Emit ai_skill_invoked, ai_safety_flag_raised, and optionally ai_adjustment_applied when suggestions are auto-applied.