用于追剧/追番的技能,为AI提供搜索影视播放地址的能力,并支持在小米电视上直接播放。当用户想搜索影视、动漫、短剧、综艺等节目信息或更新进度时使用此技能。
npx skills add https://github.com/aahl/skills --skill mcp-vods
通过npx -y mcporter连接mcp-vods在多个源站中搜索影视、动漫、短剧、综艺等节目信息或更新进度。
并支持通过配置可选的电视IP环境变量,实现投屏到电视上播放。
该工具需要在多个源站搜索,比较耗时,需要更多的超时时间,如果遇到超时,可以重新尝试。
npx -y mcporter call --stdio 'uvx mcp-vods' vods_search keyword="影视名称"npx -y mcporter call --stdio 'uvx mcp-vods' vods_search keyword="影视名称" page=2MITV_LOCAL_IP或MITV_LIST_CFG才能使用此工具。npx -y mcporter call --stdio 'uvx mcp-vods' mitv_play_media url="影视URL" addr="小米电视IP"TVBOX_LOCAL_IP或TVBOX_LIST_CFG并在电视上安装TvBox才能使用此工具。npx -y mcporter call --stdio 'uvx mcp-vods' tvbox_play_media url="影视URL" addr="安卓电视IP"npx -y mcporter list --stdio 'uvx mcp-vods' --schema --all-parameters部分源站返回的播放地址可能为网页地址(不含.m3u8/.mp4),无法直接投屏或播放,可通过curl -sSL "$url"命令获取真实的播放地址。
为了更好的兼容性,执行命令时使用npx -y mcporter替代mcporter。
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take aahl/mcp-vods 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, uvx.
Without those the skill loads but fails at the first command.