Connect an MCP-capable coding agent to OpenChatCut and edit local video projects. Use when the user asks to install, connect, or set up OpenChatCut; inspect or edit an OpenChatCut project; work with its timeline, transcript, captions, media, generation, motion graphics, audio, color, or export tools; or recover from an OpenChatCut MCP error.
npx skills add https://github.com/0xsline/OpenChatCut --skill openchatcut
OpenChatCut is a local-first, agent-native video editor. This skill is the
single external entry point; specialized editing guidance remains inside the
running editor and is loaded on demand with load_skill.
references/getting-started.md.
references/editing-workflow.md.read references/known-errors.md.
http://localhost:5199/api/external-mcp/mcp.
openchatcut_status, then list_projects. Select a project only whenthe user names it or the current context identifies it.
load_skill before specialized work. It is read-only and requiresneither begin_edit_session nor editSessionId; available names and support
files come from the live MCP tool description.
begin_edit_session. Keep itseditSessionId and pass it to every draft-safe editor tool.
approvalMode: "manual" unless the user explicitly asks for unattendedapplication. In manual mode, the user approves the complete proposal in
OpenChatCut. In auto mode, review_edit_session applies the complete draft.
review_edit_session. Report success only afterget_edit_session returns applied.
2026-08-01.1
The OpenChatCut MCP server announces its required skill baseline. If the server
baseline is newer, run:
npx skills update openchatcut
Fallback command:
npx skills add 0xsline/OpenChatCut --skill openchatcut
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take 0xsline/openchatcut from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.