Paw Cra Agent Video Producer
pawbytes/skill-suites
Video production specialist for short-form, long-form, episodic, and motion graphics video.
Create finished explainer videos from a topic, script, outline, voiceover, product logic, data, technical concept, course material, or reference assets.
$ npx skills add 0xsline/OpenChatCut --skill explainer-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install 0xsline/OpenChatCut explainer-video --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/0xsline/OpenChatCut.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/agent/skills/explainer-video .claude/skills/explainer-video && 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 "explainer-video" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/explainer-video into .claude/skills/explainer-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explainer-video", 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/0xsline/OpenChatCut/tree/main/src/agent/skills/explainer-videoType 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 0xsline/OpenChatCut --skill explainer-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install 0xsline/OpenChatCut explainer-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/agent/skills/explainer-video .agents/skills/explainer-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "explainer-video" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/explainer-video into .agents/skills/explainer-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explainer-video", 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 0xsline/OpenChatCut --skill explainer-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install 0xsline/OpenChatCut explainer-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/agent/skills/explainer-video .cursor/skills/explainer-video && 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 "explainer-video" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/explainer-video into .cursor/skills/explainer-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explainer-video", 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/0xsline/OpenChatCut.git --path src/agent/skills/explainer-video--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 0xsline/OpenChatCut --skill explainer-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install 0xsline/OpenChatCut explainer-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/agent/skills/explainer-video .gemini/skills/explainer-video && 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 "explainer-video" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/explainer-video into .gemini/skills/explainer-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explainer-video", 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 0xsline/OpenChatCut explainer-videoInstalls 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 0xsline/OpenChatCut --skill explainer-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/agent/skills/explainer-video .github/skills/explainer-video && 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 "explainer-video" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/explainer-video into .github/skills/explainer-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explainer-video", 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 0xsline/OpenChatCut --skill explainer-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install 0xsline/OpenChatCut explainer-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/0xsline/OpenChatCut.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/agent/skills/explainer-video .opencode/skills/explainer-video && 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 "explainer-video" agent skill from https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/explainer-video into .opencode/skills/explainer-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "explainer-video", 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.
explainer-videoCreate finished explainer videos from a topic, script, outline, voiceover, product logic, data, technical concept, course material, or reference assets.
Explainer Video is an agent skill from 0xsline/OpenChatCut. Create finished explainer videos from a topic, script, outline, voiceover, product logic, data, technical concept, course material, or reference assets. Use when the user wants narration, motion graphics, stock footage, generated visuals, or mixed visuals to explain an idea.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/explainer-animation.md`).
It sits in Media & Creative, covering Video production, Text to speech and voice and Motion graphics. The repository describes itself as: Open-source, local-first conversational AI video editor with a professional multi-track timeline, Agent Skills, MCP integration, and Remotion rendering. The licence is AGPL-3.0.
12 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2e6f4a2. 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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Explainer Video loads about 2.8k tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 1,429 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.
The full file from 0xsline/OpenChatCut at commit 2e6f4a2, republished under its AGPL-3.0 licence (© 0xsline). 1,429 words, ~2,767 tokens.
.claude/skills/explainer-video/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use this workflow to turn information into a clear finished video. The information is the product: topic, script, logic, data, product mechanism, or voiceover. Visuals support understanding. Explainer Video owns the section plan, narration mode, timing order, assembly, and QA; create-motion-graphics is the helper workflow for direct Motion Graphic authoring and placement.
Read the project state, prompt, attached files, assets, transcript, and timeline.
Identify the working labels:
explainer_start: topic_only, script_or_outline, voiceover_or_transcript, product_or_data, reference_assets, or direct_mg_animation_brief.source_structure: free_topic, script_sections, timestamped_sections, slides_or_pages, existing_voiceover, uploaded_assets, product_or_data, or mixed.narration_mode: generated_tts, existing_voiceover, transcript_only, or none.visual_mode: motion_graphics, stock_or_uploaded_footage, generated_video_or_images, or mixed.Respect source structure. If the user provides structured material such as timestamps, numbered sections, slides/pages, scene labels, chapters, bullet outline, product points, transcript ranges, or voiceover sections, use that as the default planning scaffold. Merge, split, reorder, or relabel only when there is a clear production reason; explain the change and get user acceptance before treating it as the plan.
Ask only for missing details that change the result: topic or script, target length, audience, platform/aspect ratio, language/voice, visual mode, tone, brand/style constraints, and whether to plan first or create directly.
If more than one detail is missing, load widget-forms and ask in one <widget>. Use text fields for topic/script/context and single-choice fields for duration, platform, language/voice, and visual mode.
Complete the preflight before writing visual treatments. The plan must have values for:
source_structurenarration_modevisual_modeanimation_reference: read or not_neededvisual_direction_source: active Design Style, chosen preset, concrete user style/reference, accepted role anchor, explicit proceed-without-alignment, or not_neededvoice_selection: confirmed concrete preset, audition needed, or not_neededtiming_source: actual voiceover/transcript ranges, generated TTS duration, user timestamps, planned duration, or not_neededAnimation Reference Gate. If any section may use motion graphics, animation, animated diagrams, data animation, mechanism visualization, abstract concept visualization, or MG overlays, read references/explainer-animation.md before writing those visual treatments. If the visual plan uses only stock footage, uploaded footage, generated live-action/video clips, or still images, mark animation_reference: not_needed and continue without loading it.
Motion Graphic Direction Gate. If any section will generate MG/animation, load create-motion-graphics before asking the user to choose visual style. Use it to read the existing project visual language, align or confirm the Design Style, and directly author and place the Motion Graphic. Explainer Video still owns narration mode, section order, timing, assembly, and QA. Before final MG authoring, confirm visual direction through one of: active Design Style, catalog Design Style preset chosen from visual cards, concrete user style/reference, accepted role anchor, or explicit proceed-without-alignment. Treat broad hints such as "clean", "modern", "technical", "cinematic", or "tech style" as filters for preset selection, not as enough to generate final MGs. Do not invent text-only style choices before checking presets; assistant-written style options are fallback alignment, not a catalog preset.
Build a compact explainer plan only after the relevant gates above are complete:
For topic_only, write a short outline before drafting or generating. For script_or_outline, preserve the user's claims and meaning while tightening structure. For product_or_data, explain the mechanism or value without inventing unsupported claims. For direct_mg_animation_brief, do not force a broad explainer outline; inspect the provided script, assets, references, transcript, or style target, then create the requested MG section, intro, diagram, or overlay inside the same gates.
Voice Gate. For generated_tts, load voice before recommending voices, choosing a preset, or submitting TTS. If the user has not confirmed a concrete voice preset, follow voice to read the curated voice list and show an audition widget first. Do not infer a voiceId from the content topic, language, gender, or broad style words.
Create or align narration only when needed. For generated_tts, draft or tighten section-level narration lines first; estimate whether they fit target timing before submission, rewrite obvious mismatches, generate/place TTS by section only after the Voice Gate is complete, then read actual audio duration before any matching narration-backed MG/animation generation. Do not submit TTS and its matching MG in the same parallel batch. For existing_voiceover, do not regenerate narration; transcribe or read the audio and split it into section time ranges before generating matching visuals. For transcript_only, confirm whether the transcript should become TTS, captions, or only structure if ambiguous. For none, skip narration sync and plan visuals from the information structure and output rhythm.
Produce visuals section by section. For MG/animation, verify the animation reference has been read, visual direction is confirmed, and create-motion-graphics has been used for direct authoring and placement before final generation or batching. For generated-TTS sections, even the first representative section MG must wait until that section's actual TTS duration is known. For narration-backed MG/animation, duration must come from the matching narration's actual audio duration when available, not from script estimates. For stock, uploaded, generated-video, or mixed visual sections, inspect/select the visual source first and use it only when it supports the section. When style or correctness is uncertain, create the first representative section or shot before batching only after required narration timing exists; a pre-audio style proof requires explicit user approval and must be labeled style-only, not treated as a section MG or placed as final timeline content.
Assemble the timeline with narration, visuals, captions when useful, background music, and section pacing. For narration-backed MG/animation sections, align narration and matching visuals to the same start time and cover the full narration section unless the visual plan intentionally changes shots within that section.
Run Narration-Visual Sync QA before done. For each narration-backed section, check whether spoken content matches the visual, whether visual duration covers narration, whether visual information density supports the spoken point, and whether transitions happen too early or too late. Fix failures before delivery by tightening narration, splitting the section, extending/regenerating visuals, adjusting timing, or asking the user to choose a tradeoff.
Final QA before done: topic clarity, factual grounding, visual-mode fit, narration coverage, timing, caption readability, audio mix, timeline continuity, narration-visual sync, and export readiness.
create-motion-graphics and checking its project visual-language intake. A preset means a catalog Design Style preset shown through visual cards, not a text label.submit_voice before loading voice and confirming a concrete voice preset.create-motion-graphics override the Explainer Video source structure, narration mode, section order, timing, assembly, or QA workflow.Use this compact format when planning:
explainer_start: starting point labelsource_structure: input scaffold and whether it is preserved or changednarration_mode: generated_tts, existing_voiceover, transcript_only, or noneoutput: platform, aspect ratio, target length, language, and voice when relevantviewer_promise: what the viewer will understand by the endpreflight: animation reference status, visual-direction source, voice selection, and timing sourcesections: beat, narration text or time range, visual goal, visual treatment, source assets, sync riskfirst_visible_result: the first section or shot to create before batching; mark it as non-final if real narration timing is not knownsync_check: for narration-backed MG, note the timing source, narration duration, MG duration, match result, and any fix appliedWhen reporting execution, include created timeline names, narration mode, visual modes used, assumptions, sync fixes applied, and what to review first.
© 0xsline, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in src/agent/skills/explainer-video of 0xsline/OpenChatCut.
Open the folder on GitHubat commit 2e6f4a2
Explainer Video 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 |
|---|---|---|---|---|---|---|
| Explainer Video this skill0xsline/OpenChatCut | 2.2k | — | ~2.8k | Automated safety check: Pass | AGPL-3.0 | |
| Paw Cra Agent Video Producerpawbytes/skill-suites | 110 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Hyperframes Ad DirectorOneWave-AI/claude-skills | 323 | — | ~988 | Automated safety check: Pass | MIT | |
| JianYing Editor Automationluoluoluo22/jianying-editor-skill | 3.8k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Video TalkcraftVincentwei1021/video-talkcraft | 1.4k | — | ~8.7k | Automated safety check: Notes | Custom licence | |
| Anything2explainerVincentwei1021/anything2explainer | 2.3k | — | ~2.7k | Automated safety check: Pass | Custom licence |
pawbytes/skill-suites
Video production specialist for short-form, long-form, episodic, and motion graphics video.
OneWave-AI/claude-skills
Turn a marketing brief or product offer into a finished short-form video ad built in HyperFrames — hook, script, shot-by-shot storyboard, scene-by-scene HTML composition, captions, and voiceover.
luoluoluo22/jianying-editor-skill
Automates JianYing Pro video editing through a Python wrapper, JyWrapper, covering drafts, media import, subtitles, screen recording, voiceover and export.
Vincentwei1021/video-talkcraft
终极口播视频 skill:中文口播稿 + 成品配音 → CPU 字级时间戳 → SHOTBOOK 层矩阵分镜 → Remotion 电影感成片(横屏默认/竖屏)。当用户要"做口播视频"、"解说/科普视频"、"把文案变成视频"、"给配音配画面动效"时使用。默认使用成品配音,可选 Fish Audio 从稿子合成配音与时间戳;数字人生成技术不在本 skill…
Vincentwei1021/anything2explainer
给一个主题,产出一条黑底 MG 风格(幕底可选星点或点阵波)、有配音字幕章节进度条的科普讲解视频(中文或英文;Remotion 代码动画;时长由用户定,常用 3–5 分钟)。内含可编译模板、图元库、配音/分镜/渲染工具、风格与动效规范、多 agent 分工协议与 QC 判据,以及一条完整样片(《RAG 与知识库》)作为质量标尺。Turn any topic into a narrated…
joeseesun/qiaomu-cut-skill
把一句话需求转成可复现、可验收视频工程的乔木智能剪辑导演。Use when the user asks to create, plan, edit, remix, explain, narrate, subtitle, animate, composite, or render a video—including one-line requests such as “制作一个科普视频:介绍…
0xsline/OpenChatCut
Connects an MCP-capable agent to the local OpenChatCut video editor to inspect and edit projects through draft edit sessions, with manual approval by default.
0xsline/OpenChatCut
Generates WebGL shaders for video effects, transitions, masks and color grades in the OpenChatCut editor, trying built-in catalog effects such as zoom before making anything new.
0xsline/OpenChatCut
Generates still images through the submit_image tool, choosing among Fal.ai, gpt-image-2, nano-banana, MiniMax image-01 and Grok Imagine by configured keys.
0xsline/OpenChatCut
Cuts a livestream recording into evidence-backed, platform-ready clips by combining transcript, visual, audio and genre-specific signals.
0xsline/OpenChatCut
Generates instrumentals, songs, soundtracks and covers through Mureka, MiniMax, Atlas Cloud or Sonilo using the `submit_music` tool.
0xsline/OpenChatCut
Submits AI video generation jobs to Fal.ai, Seedance, Kling, MiniMax Hailuo, xAI Grok Imagine or OFox for text-to-video, image-to-video, transitions and clip extension.
Categories
Create finished explainer videos from a topic, script, outline, voiceover, product logic, data, technical concept, course material, or reference assets. Explainer Video is an agent skill from 0xsline/OpenChatCut. Create finished explainer videos from a topic, script, outline, voiceover, product logic, data, technical concept, course material, or reference assets.
Explainer Video fits situations like: the user wants narration; motion graphics; generated visuals; mixed visuals to explain an idea.
Run `npx skills add 0xsline/OpenChatCut --skill explainer-video -a claude-code`. Or copy the skill folder (src/agent/skills/explainer-video in 0xsline/OpenChatCut) into .claude/skills/explainer-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add 0xsline/OpenChatCut --skill explainer-video -a codex`. Or copy the skill folder (src/agent/skills/explainer-video in 0xsline/OpenChatCut) into .agents/skills/explainer-video 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 0xsline/OpenChatCut --skill explainer-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/explainer-video, .gemini/skills/explainer-video, .github/skills/explainer-video and .opencode/skills/explainer-video in your project.
SKILL.md names no scripts, command-line tools or credentials: Explainer Video is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Explainer Video is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Explainer Video: Paw Cra Agent Video Producer (pawbytes/skill-suites, 110 stars), Hyperframes Ad Director (OneWave-AI/claude-skills, 323 stars), JianYing Editor Automation (luoluoluo22/jianying-editor-skill, 3.8k stars) and Video Talkcraft (Vincentwei1021/video-talkcraft, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
0xsline (a GitHub user) maintains it in 0xsline/OpenChatCut, which has 2,178 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 7, 2026.
Source: 0xsline/OpenChatCut on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.