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klingai-usage-analytics

by jeremylongshore

Build usage analytics and reporting for Kling AI. Use when tracking generation patterns,\nanalyzing costs, or creating dashboards. Trigger with phrases like 'klingai analytics',\n'kling ai usage report', 'klingai metrics', 'video generation stats'.

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
jeremylongshore
Category
Security
GitHub repo

About this skill

Build usage analytics and reporting for Kling AI. Use when tracking generation patterns,\nanalyzing costs, or creating dashboards. Trigger with phrases like 'klingai analytics',\n'kling ai usage report', 'klingai metrics', 'video generation stats'.

How to use

  1. Zainstaluj skill w swoim środowisku Claude Code, Codex lub OpenClaw — umieść pliki w katalogu skills projektu.

  2. Wyzwól skill frazami takimi jak "klingai analytics", "kling ai usage report", "klingai metrics" lub "video generation stats" — system automatycznie rozpozna zapytanie.

  3. Skill inicjuje logger zdarzeń (KlingEventLogger), który tworzy katalog logs i zapisuje zdarzenia w plikach JSONL z datą (np. kling-2024-01-15.jsonl).

  4. Rejestruj zdarzenia za pomocą dostępnych metod: log_submission() dla wysłanych zadań (zawiera ID zadania, model, czas trwania, długość promptu) oraz log_completion() dla ukończonych operacji (status, czas, zużyte kredyty).

  5. Agreguj metryki z logów — skill umożliwia odczyt plików JSONL i obliczenie statystyk dziennych, takich jak liczba generacji, średni czas przetwarzania i całkowite zużycie kredytów.

  6. Eksportuj raporty lub połącz dane z narzędziami analitycznymi — logi w formacie JSONL są kompatybilne z większością platform do wizualizacji i analizy danych.

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