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profile

Skill0 starsChanged 23 days agoMITView on GitHub

Performance-Profiling + Memory-Leak-Detection via perf-agent-Subagent — cProfile-Hotspots, tracemalloc-Snapshot-Diffs, Latenz-Analyse, Pre/Post-Benchmark. Schlanker userInvocable Slash-Wrapper um den perf-agent (analog /security-audit → security-reviewer). Use when: "profilen", "Performance-Analyse", "Hotspot finden", "Memory-Leak suchen", "warum ist das langsam", "Latenz messen", "profile".

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SKILL.md

profile — Performance-Profiling via perf-agent

Du orchestrierst den perf-agent-Subagent für messbasiertes Profiling. Du selbst rätst nicht über Performance — der Agent misst (Pre/Post-Benchmark).

Vorgehen

  1. Scope + Symptom ermitteln: welches Modul/welcher Hot-Path? Symptom (langsame Replies, Memory-Wachstum, Latenz-Spike)? Reproduzierbarer Trigger/Input?
  2. Dispatch perf-agent (1 Call) mit: Files/Funktionen · Symptom · Mess-Methode (cProfile für CPU-Hotspots, tracemalloc-Snapshot-Diff für Memory-Leaks, Latenz-Timing). Messbasiert, nicht spekulativ — Pre-Benchmark, Hypothese, Post-Benchmark. Datei-Reads im Subagent NUR via Read-Tool (kein cat/Get-Content — Security-Flag).
  3. Ergebnis rahmen: Top-Hotspots (Funktion · % Zeit · Calls) · Memory-Wachstum (Snapshot-Diff, Top-Allokationen) · konkreter Fix-Vorschlag mit erwarteter Delta + Aufwand. Kein Fix ohne Messung der Ist-Last.

Abgrenzung

  • audio-pipeline-reviewer macht DSP-Code-Review (Sample-Rate/Buffer/FFT) OHNE Profiling.
  • profile (dieser Skill, perf-agent) macht messbasiertes Profiling mit Pre/Post-Benchmark.

Constraints

  • Immer messen (cProfile/tracemalloc/Timing) statt Hotspots raten.
  • Memory-Leak: tracemalloc-Snapshot VOR + NACH dem verdächtigen Pfad, Diff zeigt Wachstum.
  • Fix nur vorschlagen wenn der Hotspot gemessen die Last trägt (>~5% oder klares Leak).

Beispiel-Triggers

/profile · „warum ist der Dashboard-Endpoint langsam" · „such ein Memory-Leak im Bot-Prozess"

Changelog

  • v1.0.0 (2026-06-05): Initial — Inventar-Audit G4 (perf-agent ohne Slash-Skill).

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