Video Assemble

About development MCP servers and Claude skills

development MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

Video Assemble is one of hundreds of development entries indexed on Skiln. Browse the full development category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

Related development MCPs and skills

• Video Cut by worldwonderer

  Cut a long video down to selected source ranges (montage / clip assembly) and remap timestamped narration onto the shortened timeline. Use when an agent has chosen which original-video segments to keep (a clip plan) and needs a single concatenated source video plus narration mapped to the new (output) time. Part of the video-recap bundle: consumes clip_plan.json + the source video, produces edited_source.mp4 + narration_mapped.json. 触发词: 视频剪辑, 剪辑式解说, video cut, clip plan, 拼剪.

• Video Recap by worldwonderer

  Generate a Chinese-narration recap video from an input video, end to end. Use when the user gives a video file (.mp4 / .mov / .mkv / .webm) and asks to add narration, generate voiceover, dub, summarize, or produce a recap (短剧 / 电视剧 / 电影 / 纪录片 / 科普). Orchestrates the video-* skill bundle: understanding → (agent writes narration) → cut → voiceover → assemble. 触发词: 视频解说, 视频旁白, 生成解说, 视频recap, video recap, voiceover, narration, auto-dub, recap.

• Video Understanding by worldwonderer

  Analyze a video into a structured understanding index: scene detection, ASR transcript, per-scene visual (VLM) analysis, silence windows, a fused timeline, and a narration-writing brief. Use to understand / index / summarize what happens in a video, or as the first stage of the video-recap bundle before writing narration. Input: a video file. Output: scenes.json, asr_result.json, vlm_analysis.json, silence_periods.json, timeline_fusion.json, agent_narration_brief.md. 触发词: 视频理解, 视频分析, 视频索引, vi...

• Video Voiceover by worldwonderer

  Synthesize Chinese narration audio (TTS voiceover) from a timestamped narration.json. Use to turn a written narration script into per-segment speech audio, with MiMo TTS (mimo-v2.5-tts), dynamic speed fitting, and loudness handling. Part of the video-recap bundle: consumes narration.json (or narration_mapped.json), produces tts_segments + tts_meta.json. 触发词: 配音, 语音合成, TTS, 解说配音, voiceover, text to speech, 旁白配音.

• Open Notebook by tassiovale

  Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports ...

• Paper Lookup by tassiovale

  Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X" or "look up this DOI".

• Polars Bio by tassiovale

  High-performance genomic interval operations and bioinformatics file I/O on Polars DataFrames. Overlap, nearest, merge, coverage, complement, subtract for BED/VCF/BAM/GFF intervals. Streaming, cloud-native, faster bioframe alternative.

• Prompt Engineering Apex by fratilanico

  Use when writing prompts for Claude or any LLM, when agent outputs are inconsistent or low quality, when structuring system prompts for APEX OS agents, or when implementing CoT/ToT reasoning patterns. Triggers on: prompt design, system prompt, instruction engineering, output quality, JSON schema enforcement.

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