post-run-debrief

name	post-run-debrief
description	Converts run telemetry and user notes into structured reflections with confidence scores. Use after runs to capture qualitative feedback and generate next-step guidance with safety checks for pain or abnormal heart rate.
metadata	{"short-description":"Post-run reflection with confidence scoring and actionable guidance."}

When Claude should use this skill

• Immediately after run save to prompt reflection
• When user asks for a recap or confidence check
• When analyzing run performance with qualitative feedback

Invocation guidance

1. Provide RecentRunTelemetry, derived metrics, and user notes.
2. Generate reflection bullets, confidence (0–1), and next-step guidance linked to the plan.
3. Output must include optional SafetyFlag[] if pain/abnormal HR reported.

Input schema

See references/input-schema.json.

Output schema

See references/output-schema.json.

Integration points

• UI: Post-run modal and chat thread insertion.
• Storage: Save alongside run insight in Dexie (v0/lib/db.ts).
• Telemetry: Emit ai_insight_created.

Safety & guardrails

• If user notes include pain/dizziness → advise stopping further activity and consulting a professional.
• Keep debrief ≤140 words, supportive tone.
• Default to conservative next-step if data incomplete.

Telemetry

• Emit ai_skill_invoked, ai_insight_created, and ai_safety_flag_raised when applicable.