SkillsAdd

smithery/nadavyigal

post-run-debrief

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.

Installation

$ npx skills add smithery/nadavyigal --skill post-run-debrief
View on skills.sh ↗ Website ↗

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Also in this package

Other skills from smithery/nadavyigal.

npx skills add smithery/nadavyigal
running-coach-index 0 readiness-check 0 plan-adjuster 0

Browse all from smithery/nadavyigal

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

More metadata
short-description
Post-run reflection with confidence scoring and actionable guidance.

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,448 B
  • docs SUMMARY.md 244 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

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 aiinsightcreated.

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 aiskillinvoked, aiinsightcreated, and aisafetyflag_raised when applicable.