Nlm Skill
iusztinpaul/ai-research-os-workshop
Expert guide for the NotebookLM CLI (nlm) and MCP server - interfaces for Google NotebookLM.
A skill your agent uses when user needs to upload files to cloud storage (Google Drive).
$ npx skills add T0UGH/videoclaw --skill video-upload -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install T0UGH/videoclaw video-upload --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-upload .claude/skills/video-upload && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-upload" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-upload into .claude/skills/video-upload/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-upload", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/T0UGH/videoclaw/tree/main/skills/video-uploadType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add T0UGH/videoclaw --skill video-upload -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install T0UGH/videoclaw video-upload --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/video-upload .agents/skills/video-upload && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-upload" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-upload into .agents/skills/video-upload/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-upload", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add T0UGH/videoclaw --skill video-upload -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install T0UGH/videoclaw video-upload --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/video-upload .cursor/skills/video-upload && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-upload" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-upload into .cursor/skills/video-upload/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-upload", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/T0UGH/videoclaw.git --path skills/video-upload--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add T0UGH/videoclaw --skill video-upload -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install T0UGH/videoclaw video-upload --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/video-upload .gemini/skills/video-upload && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-upload" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-upload into .gemini/skills/video-upload/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-upload", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install T0UGH/videoclaw video-uploadInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add T0UGH/videoclaw --skill video-upload -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/video-upload .github/skills/video-upload && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-upload" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-upload into .github/skills/video-upload/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-upload", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add T0UGH/videoclaw --skill video-upload -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install T0UGH/videoclaw video-upload --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/T0UGH/videoclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/video-upload .opencode/skills/video-upload && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-upload" agent skill from https://github.com/T0UGH/videoclaw/tree/main/skills/video-upload into .opencode/skills/video-upload/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-upload", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
video-uploadA skill your agent uses when user needs to upload files to cloud storage (Google Drive).
Video Upload is an agent skill from T0UGH/videoclaw. Use when user needs to upload files to cloud storage (Google Drive). Independent upload command for uploading any file to cloud.
Its SKILL.md is about 250 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative. It works with Google Drive. The repository describes itself as: AI 视频创作 CLI 工具,深度集成 Seedance 2.0 + Chatgpt Imagen2 业界顶级模型,告诉 AI 你的想法,它会自动完成从素材生成到视频合成的全部工作,并支持自动发布到抖音、快手等平台。
Read from SKILL.md and the folder at commit 115d9dd. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
claudeuvxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uvx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Video Upload loads about 250 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 55 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 55 words (~250 tokens).
“Upload local files to cloud storage. Currently supports Google Drive.”
Just SKILL.md in skills/video-upload of T0UGH/videoclaw.
Open the folder on GitHubat commit 115d9dd
Video Upload next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video Upload this skillT0UGH/videoclaw | 118 | — | ~250 | Automated safety check: Pass | None | |
| Nlm Skilliusztinpaul/ai-research-os-workshop | 179 | 1 repos | ~6.9k | Automated safety check: Pass | MIT | |
| NotebookLM CLI Guidejacob-bd/notebooklm-cli | 256 | — | ~3.4k | Automated safety check: Warn | MIT | |
| Competitor Monitoringamplitude/builder-skills | 160 | — | ~1k | Automated safety check: Pass | None | |
| Market Research Digestamplitude/builder-skills | 160 | — | ~853 | Automated safety check: Pass | None | |
| Guizang Social Cardsop7418/guizang-social-card-skill | 7.4k | 1 repos | ~7.8k | Automated safety check: Pass | AGPL-3.0 |
iusztinpaul/ai-research-os-workshop
Expert guide for the NotebookLM CLI (nlm) and MCP server - interfaces for Google NotebookLM.
jacob-bd/notebooklm-cli
Guides use of the nlm command-line tool to automate Google NotebookLM: notebooks, sources, research, one-shot questions and generated podcasts, reports, quizzes and slides.
amplitude/builder-skills
Visit each competitor's homepage, features page, pricing page, and blog using Chrome MCP, then write a structured competitive intelligence report saved to Google Drive.
amplitude/builder-skills
Synthesize Drive files, Granola meeting notes, and web signals into a weekly Markdown research summary with Trends, Competitors, Ideas, and Risks sections.
op7418/guizang-social-card-skill
Produces social card sets for Xiaohongshu and WeChat: carousels, Live Photo motion cards and puzzle layouts, and WeChat cover pairs, rendered from single-file HTML.
heygen-com/hyperframes
Turns a weekly changelog markdown file into a branded HyperFrames video with voiceover, animated mock-UI scenes and captions, using fonts, background and scripts bundled in the skill.
T0UGH/videoclaw
使用 AI 生成结构化文本分镜,作为视频生成的输入。用于用户需要一个视频的文本描述(分镜)的场景。用户说"帮我生成一个分镜"、"帮我写视频脚本"时触发。
T0UGH/videoclaw
A skill your agent uses when user needs to transform or edit images using AI.
T0UGH/videoclaw
Publish videos to Douyin (抖音). An agent skill from T0UGH/videoclaw.
T0UGH/videoclaw
Publish videos to Kuaishou (快手). An agent skill from T0UGH/videoclaw.
T0UGH/videoclaw
A skill your agent uses when user needs to generate images from text prompts.
T0UGH/videoclaw
A skill your agent uses when user wants to initialize a new video project with directory structure
Works with
Categories
A skill your agent uses when user needs to upload files to cloud storage (Google Drive). Video Upload is an agent skill from T0UGH/videoclaw. Use when user needs to upload files to cloud storage (Google Drive).
Video Upload fits situations like: user needs to upload files to cloud storage (Google Drive).
Run `npx skills add T0UGH/videoclaw --skill video-upload -a claude-code`. Or copy the skill folder (skills/video-upload in T0UGH/videoclaw) into .claude/skills/video-upload in your project. Claude Code loads it when a task matches its description.
Run `npx skills add T0UGH/videoclaw --skill video-upload -a codex`. Or copy the skill folder (skills/video-upload in T0UGH/videoclaw) into .agents/skills/video-upload in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add T0UGH/videoclaw --skill video-upload -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-upload, .gemini/skills/video-upload, .github/skills/video-upload and .opencode/skills/video-upload in your project.
Going by SKILL.md and its folder, Video Upload needs the command-line tools its instructions call (claude and uvx).
SKILL.md contains no URLs. Its commands use uvx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Video Upload or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 250 tokens (SKILL.md is roughly 1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Video Upload: Nlm Skill (iusztinpaul/ai-research-os-workshop, 179 stars), NotebookLM CLI Guide (jacob-bd/notebooklm-cli, 256 stars), Competitor Monitoring (amplitude/builder-skills, 160 stars) and Market Research Digest (amplitude/builder-skills, 160 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
T0UGH (a GitHub user) maintains it in T0UGH/videoclaw, which has 118 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on May 18, 2026.
Source: T0UGH/videoclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.