15 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
Zeige 15 Plugins, die diesen Filtern entsprechen.
video-recapzenstory-ai/video-recap-skills1
365-skillsAgents365-ai/365-skills1Reiche das repo mit .claude-plugin/marketplace.json ein und wir listen jedes plugin auf.
Marketplace einreichenCreate polished demo videos from screenshots and scene descriptions. Orchestrates playwright, ffmpeg, and edge-tts with story structure, scene design system, and narration guidance.
Edit and render videos with FFmpeg and Remotion, from stitching and transitions to captions and teasers. Design presentations in Excalidraw and generate AI-powered infographics.
Self-contained production skill plus on-demand reference skill for Chinese-narration recaps from supported video files: local Python/ffmpeg; remote Xiaomi MiMo ASR, VLM, and default TTS; optional Fish Audio TTS with a separate API key or a self-hosted HTTP TTS endpoint; final playback review required.
Repurpose YouTube videos for Bilibili — download via yt-dlp, transcribe with whisper, generate bilingual (English-Chinese) SRT subtitles, hardcode them with ffmpeg
Use this skill for local FFmpeg/FFprobe media inspection, remuxing, transcoding, filtering, evidence-bounded video review, transcript-assisted editorial plans, edit decision lists, podcast/audio cleanup, rendering, and output acceptance. It emphasizes explicit stream selection, source preservation, build-aware commands, bounded evidence, and verified new outputs. Do not use it for libav API programming, opaque whole-video understanding, automatic publishing, rights clearance, DRM circumvention, professional broadcast/color certification, or HyperFrames-authored compositions; route those tasks to their owning capabilities.
Plan, conduct, evaluate, and synthesize rigorous research investigations with credible evidence and a traceable method, including source-to-claim closure for media evidence. Do not use this skill for repeated source extraction and durable note orchestration; use `research-and-vault` for that capture workflow, or `ffmpeg` for media operations.
Extract relevant frames from videos and animated images (GIF/APNG/animated WebP) so LLMs can view them as a timeline. Auto-transcribes audio (whisper.cpp default) and writes a self-contained HTML report + manifest.json + ndjson run history per extract. Wraps ffmpeg with scene-change detection and fps fallback.
Encode a video for the web with a bundled ffmpeg script — AV1 and H.264 MP4s plus a poster, with HEVC on request, or VP9 WebM and HEVC with alpha for transparent video — and embed it with the right source order
frontend成片音频体检 + 修法:ffmpeg 量响度/峰值/声道/BGM 比例/码率出放行表,不可发给达芬奇菜单级修法,可 ffmpeg 应急修音轨或人声+BGM 自动闪避重混,修完复测
Local FFmpeg video/audio editing for coding agents: a machine-readable contract, an MCP server and a probe-first / verify-last workflow.
Final-composite step: burn SRT into pixels via libass, mix in a dub track, keep the original audio as a low-volume bed — all in one ffmpeg encode (no cascade).
Use when someone wants to edit an existing video with a text instruction — recolor, restyle, remove or add objects, change environment or lighting, update on-screen text, or apply optional reference-guided product and accessory edits. Not for a new clip from scratch or ffmpeg assembly.
Use when assembling or polishing already-rendered clips with ffmpeg — concat, crossfades, burned captions and subtitles, text/logo overlays, before/after sliders, background music beds, platform export — or when composing a multi-layer HTML combination video with Hyperframes. Not for AI video generation, prompt craft, or model-based video edits.
Categorized FFmpeg recipes for video automation pipelines: convert, trim, mix, overlay, encode
Build product videos from your IDE: an HTML deck, an AI voiceover and real screen recordings, rendered to MP4 with ffmpeg.
