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Explain and summarize token consumption from lifecycle reports.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
全栈视频后期制作 Skill：Whisper 转录 → auto-editor 去静音 → ffmpeg 精剪（PIP放大镜/章节标题/加速/字幕烧录）→ Remotion 动画片段 → HyperFrames 品牌视频。 适用场景：教程视频后期、口播去死空气、宣传片生成、多平台导出。
Universal document to Markdown converter. Convert any file (PDF, Word, Excel, PPT, images, audio, video, YouTube URLs) to clean LLM-ready Markdown. Use when: - User wants to convert documents to Markdown - User needs to process entire directories of files - User has YouTube videos or audio files to transcribe - User wants to prepare content for LLM processing Triggers: "convert to markdown", "anything to md", "document to md", "pdf to md", "batch convert", "youtube transcript" PDF Backend Priority: 1. MinerU (mineru CLI) - High-quality OCR-based extraction with layout detection, table recognition, formula extraction. Best for Chinese/CJK PDFs, scanned documents, and image-heavy presentations. 2. MarkItDown (Microsoft) - Fast text-based extraction for simple text PDFs. 3. pypdf - Last resort fallback for basic text extraction. Video Intelligent Routing: 1. PROBE: Detect embedded subtitles, sidecar files, audio tracks, on-screen text (sample frame OCR) 2. DECIDE: Choose optimal strategy based on content typ
Define, update, and validate recurring cron jobs for OpenClaw workflows.
| name | token-usage-reporter |
| description | Explain and summarize token consumption from lifecycle reports. |
Use this skill to read .openclaw/reports/token-usage-latest.json and summarize:
