Native Subtitle Quote Image
chengyi-ai/native-subtitle-quote-image
将本地视频或用户有权处理的在线视频,经过来源获取、文字稿定位、选题选句、精确取帧、紧凑裁切、拼图和逐张质检,制作成 3:4 或保留画面原比例的视频字幕长图。支持两种明确分开的输出:保留画面内已烧录字幕的原生字幕模式,以及把已审核的时间点与台词绘制到真实视频帧上的脚本字幕模式。用户要求原生字幕截图、字幕帧拼图、YouTube…
The master tool for all advanced audio/video processing. An agent skill from sundial-org/awesome-openclaw-skills.
$ npx skills add sundial-org/awesome-openclaw-skills --skill clipit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills clipit --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/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/clipit .claude/skills/clipit && 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 "clipit" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/clipit into .claude/skills/clipit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clipit", 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/sundial-org/awesome-openclaw-skills/tree/main/skills/clipitType 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 sundial-org/awesome-openclaw-skills --skill clipit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills clipit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/clipit .agents/skills/clipit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "clipit" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/clipit into .agents/skills/clipit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clipit", 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 sundial-org/awesome-openclaw-skills --skill clipit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills clipit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/clipit .cursor/skills/clipit && 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 "clipit" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/clipit into .cursor/skills/clipit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clipit", 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/sundial-org/awesome-openclaw-skills.git --path skills/clipit--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 sundial-org/awesome-openclaw-skills --skill clipit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills clipit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/clipit .gemini/skills/clipit && 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 "clipit" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/clipit into .gemini/skills/clipit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clipit", 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 sundial-org/awesome-openclaw-skills clipitInstalls 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 sundial-org/awesome-openclaw-skills --skill clipit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/clipit .github/skills/clipit && 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 "clipit" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/clipit into .github/skills/clipit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clipit", 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 sundial-org/awesome-openclaw-skills --skill clipit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills clipit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/clipit .opencode/skills/clipit && 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 "clipit" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/clipit into .opencode/skills/clipit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "clipit", 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.
clipitThe master tool for all advanced audio/video processing. An agent skill from sundial-org/awesome-openclaw-skills.
Clipit is an agent skill from sundial-org/awesome-openclaw-skills. The master tool for all advanced audio/video processing. Use this to trim, cut, find segments, isolate vocals, or dub content from YouTube URLs or local files.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `clip.py`).
It sits in Media & Creative. It works with YouTube. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b80cde2. 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.
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
youtu.beFrom 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.
Clipit loads about 1.1k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 499 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 499 words (~1,082 tokens).
“This is a specialized tool that performs semantic media processing. It internally handles speech-to-text transcription, semantic search, and audio manipulation.”
SKILL.md and 2 other files in skills/clipit of sundial-org/awesome-openclaw-skills.
Open the folder on GitHubat commit b80cde2
Clipit 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 |
|---|---|---|---|---|---|---|
| Clipit this skillsundial-org/awesome-openclaw-skills | 663 | — | ~1.1k | Automated safety check: Pass | None | |
| Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image | 2.4k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Video Spec Builderfeicaiclub/video-spec-builder | 1k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Video Dataoxylabs/agent-skills | 875 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Motion Video in Remotionooiyeefei/ccc | 494 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Packaging Youtube Thumbnailsericosiu/ai-marketing-skills | 3.6k | — | ~3.8k | Automated safety check: Pass | MIT |
chengyi-ai/native-subtitle-quote-image
将本地视频或用户有权处理的在线视频,经过来源获取、文字稿定位、选题选句、精确取帧、紧凑裁切、拼图和逐张质检,制作成 3:4 或保留画面原比例的视频字幕长图。支持两种明确分开的输出:保留画面内已烧录字幕的原生字幕模式,以及把已审核的时间点与台词绘制到真实视频帧上的脚本字幕模式。用户要求原生字幕截图、字幕帧拼图、YouTube…
feicaiclub/video-spec-builder
当用户说想做一个视频、宣传片、产品演示、动画短片、抖音/YouTube 内容,或者说要改分镜、调节奏、换镜头、调字幕、加配音、改转场时使用。通过苏格拉底式追问收集视频需求,主动激发渲染层的全部能力(TTS / 字幕 / 3D / shader / 音频反应等),输出标准化的 video-spec.md 用于渲染。
oxylabs/agent-skills
YouTube data extraction API and high-bandwidth proxy downloads.
ooiyeefei/ccc
Builds marketing and explainer videos in Remotion from rendered scenes, with one real product capture as proof, and cuts them for each platform's formats.
ericosiu/ai-marketing-skills
A skill your agent uses when a user supplies new video content or a channel and wants on-brand YouTube titles, thumbnail concepts, rendered variants, A/B packaging, identity profiling, precise…
trpc-group/trpc-agent-go
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
sundial-org/awesome-openclaw-skills
UI/UX design intelligence and implementation guidance for building polished interfaces.
sundial-org/awesome-openclaw-skills
Create and deploy single-page static websites to GitHub Pages with autonomous workflow.
sundial-org/awesome-openclaw-skills
Modify Clawd, the Claude Code mascot. An agent skill from sundial-org/awesome-openclaw-skills.
sundial-org/awesome-openclaw-skills
Professional Figma design analysis and asset export. An agent skill from sundial-org/awesome-openclaw-skills.
sundial-org/awesome-openclaw-skills
AI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching.
sundial-org/awesome-openclaw-skills
Text-to-speech conversion using node-edge-tts npm package for generating audio from text.
Works with
Categories
The master tool for all advanced audio/video processing. An agent skill from sundial-org/awesome-openclaw-skills. Clipit is an agent skill from sundial-org/awesome-openclaw-skills. The master tool for all advanced audio/video processing.
Clipit fits situations like: media & Creative work in your project.
Run `npx skills add sundial-org/awesome-openclaw-skills --skill clipit -a claude-code`. Or copy the skill folder (skills/clipit in sundial-org/awesome-openclaw-skills) into .claude/skills/clipit in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sundial-org/awesome-openclaw-skills --skill clipit -a codex`. Or copy the skill folder (skills/clipit in sundial-org/awesome-openclaw-skills) into .agents/skills/clipit 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 sundial-org/awesome-openclaw-skills --skill clipit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/clipit, .gemini/skills/clipit, .github/skills/clipit and .opencode/skills/clipit in your project.
Going by SKILL.md and its folder, Clipit needs Python for the scripts in its folder. Our summary lists: Python 3; A credential in ELEVENLABS_API_KEY; A credential in OPENAI_API_KEY.
SKILL.md names 1 domain. In commands or code: youtu.be; the agent is likely to contact it when it follows the instructions. 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 Clipit or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Clipit: Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.4k stars), Video Spec Builder (feicaiclub/video-spec-builder, 1k stars), Video Data (oxylabs/agent-skills, 875 stars) and Motion Video in Remotion (ooiyeefei/ccc, 494 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.
Source: sundial-org/awesome-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.