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load-anomaly-guard

@majiayu000/claude-skill-registry
4
0

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.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

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 [object Object]

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.