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.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/load-anomaly-guard

SKILL.md

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, planned Plan window, 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_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.

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