HyperFrames Video Entry Point
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Expert in script-to-video production pipelines for Apple Silicon Macs.
$ npx skills add curiositech/some_claude_skills --skill ai-video-production-master -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install curiositech/some_claude_skills ai-video-production-master --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/curiositech/some_claude_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ai-video-production-master .claude/skills/ai-video-production-master && 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 "ai-video-production-master" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/ai-video-production-master into .claude/skills/ai-video-production-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-production-master", 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/curiositech/some_claude_skills/tree/main/.claude/skills/ai-video-production-masterType 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 curiositech/some_claude_skills --skill ai-video-production-master -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install curiositech/some_claude_skills ai-video-production-master --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/ai-video-production-master .agents/skills/ai-video-production-master && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-video-production-master" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/ai-video-production-master into .agents/skills/ai-video-production-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-production-master", 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 curiositech/some_claude_skills --skill ai-video-production-master -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install curiositech/some_claude_skills ai-video-production-master --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/ai-video-production-master .cursor/skills/ai-video-production-master && 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 "ai-video-production-master" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/ai-video-production-master into .cursor/skills/ai-video-production-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-production-master", 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/curiositech/some_claude_skills.git --path .claude/skills/ai-video-production-master--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 curiositech/some_claude_skills --skill ai-video-production-master -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install curiositech/some_claude_skills ai-video-production-master --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/ai-video-production-master .gemini/skills/ai-video-production-master && 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 "ai-video-production-master" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/ai-video-production-master into .gemini/skills/ai-video-production-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-production-master", 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 curiositech/some_claude_skills ai-video-production-masterInstalls 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 curiositech/some_claude_skills --skill ai-video-production-master -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/ai-video-production-master .github/skills/ai-video-production-master && 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 "ai-video-production-master" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/ai-video-production-master into .github/skills/ai-video-production-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-production-master", 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 curiositech/some_claude_skills --skill ai-video-production-master -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install curiositech/some_claude_skills ai-video-production-master --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/ai-video-production-master .opencode/skills/ai-video-production-master && 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 "ai-video-production-master" agent skill from https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/ai-video-production-master into .opencode/skills/ai-video-production-master/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-production-master", 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.
ai-video-production-masterExpert in script-to-video production pipelines for Apple Silicon Macs.
AI Video Production Master is an agent skill from curiositech/some_claude_skills. Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist commissioning. Activate on 'AI video production', 'script to video', 'video generation pipeline', 'character consistency', 'LoRA training', 'cloud GPU', 'motion graphics', 'Wan I2V', 'InVideo alternative'. NOT for real-time video editing, video compositing (use DaVinci/Premiere), audio production, or 3D modeling (use…
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts (for example `.claude-plugin/plugin.json`, `README.md` and `docs/ARTIST_COMMISSIONING_GUIDE.md`).
It sits in Media & Creative, covering AI video generation, Video production and Motion graphics. It works with Blender. The repository describes itself as: Claude skills that make my life easier. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6713fc7. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(python:*ffmpeg:*npm:*)WebFetchmcp__firecrawl__firecrawl_searchFrom allowed-tools in the SKILL.md frontmatter.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom 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.
AI Video Production Master loads about 1.7k tokens when it runs. Until then it costs about 139 tokens; SKILL.md has 551 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); the scripts in this folder are not scanned.
The full file from curiositech/some_claude_skills at commit 6713fc7, republished under its MIT licence (© curiositech). 551 words, ~1,706 tokens.
.claude/skills/ai-video-production-master/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in:
✅ USE this skill for:
❌ DO NOT use for:
sound-engineer skillphysics-rendering-expert skillclip-aware-embeddings or image gen toolsChoose the right approach based on your content:
Best for: Educational, corporate, explainers, documentaries
python scripts/stock_video_generator.py --script script.txt --style documentaryBest for: Abstract visuals, creative shorts, unique scenes
python scripts/t2v_generator.py --prompt "A serene mountain lake at sunset" --provider soraBest for: Animating logos, concept art, specific compositions
python scripts/cloud_i2v_batch.py --images ./keyframes --provider vastaiCombine approaches per shot:
Compare and recommend the optimal mix of local (M4 Max) vs cloud (H100/A100) processing:
python scripts/cost_calculator.py --shots 10 --duration 5Run I2V generation on cloud GPUs for 50x speedup:
python scripts/cloud_i2v_batch.py --images ./keyframes --provider vastaiCreate professional title cards, lower thirds, and data visualizations:
python scripts/motion_graphics_generator.py --type title --style deep_glow --title "Your Title"Provide guidance on:
Templates and guidance for:
ai-video-production-master/
├── README.md # Comprehensive guide
├── SKILL.md # This file
├── scripts/
│ ├── cost_calculator.py # Cost comparison tool
│ ├── cloud_i2v_batch.py # Cloud batch I2V (Vast.ai/RunPod)
│ ├── stock_video_generator.py # Stock footage assembly (Invideo-style)
│ ├── t2v_generator.py # Text-to-video (Sora/Runway/Pika)
│ └── motion_graphics_generator.py # Title cards, lower thirds
├── workflows/
│ └── comfyui_i2v_optimized.json # Optimized ComfyUI workflow
└── docs/
├── ARTIST_COMMISSIONING_GUIDE.md # Hiring artists
└── contracts/
└── artist_commission_template.md # Contract template| Approach | Time | Cost | Best For |
|---|---|---|---|
| Stock Footage + AI | 30 min | Free-$20/mo | Educational, corporate |
| Sora (ChatGPT Plus) | 30 min | $20/mo | Creative, unique scenes |
| Full Local I2V (M4 Max) | 15+ hours | $0 | When you need specific images |
| Cloud I2V (RTX 4090) | 30 min | ~$0.50 | Batch I2V processing |
| InVideo Max | 30 min | $48/mo | Full automation |
| Runway Gen-3 | 30 min | ~$15-25 | High-quality T2V |
| Provider | GPU | $/hr | I2V Time/Clip |
|---|---|---|---|
| Vast.ai | H100 80GB | $1.87 | ~2 min |
| RunPod | H100 80GB | $1.99 | ~2 min |
| RunPod | A100 80GB | $1.74 | ~3 min |
| Lambda | H100 | $2.99 | ~2 min |
neo_brutalist - Raw, glitchy, utilitariandeep_glow - Intense light blooms, layered neonsliquid_motion - Fluid, morphing typographyretro_revival - 80s/90s grain and neonglass_morphism - Frosted glass, depth layersPython packages:
External tools:
© curiositech, MIT. 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 8 other files (scripts) in .claude/skills/ai-video-production-master of curiositech/some_claude_skills.
Open the folder on GitHubat commit 6713fc7
AI Video Production Master 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 |
|---|---|---|---|---|---|---|
| AI Video Production Master this skillcuriositech/some_claude_skills | 244 | — | ~1.7k | Automated safety check: Pass | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lazy Framescosmicstack-labs/lazy-frames | 163 | — | ~2.6k | Automated safety check: Pass | None | |
| Tesseract Videomirage-hq/Tesseract | 130 | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Orbit Cardheygen-com/hyperframes | 60k | 1 repos | ~887 | Automated safety check: Pass | Apache-2.0 | |
| Video RouterOrkas-AI/Orkas-VideoStudio | 499 | — | ~1.5k | Automated safety check: Pass | MIT |
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
cosmicstack-labs/lazy-frames
Turn any input (a website URL, a text brief, existing footage, a music track) into a finished, pixel-perfect MP4 — fully local, byte-stable across renders.
mirage-hq/Tesseract
Edit existing footage into finished videos locally with Tesseract.
heygen-com/hyperframes
HyperFrames block with one feature card that circles a dot sphere, driven by camera and card motion exported from an approved Blender rig.
Orkas-AI/Orkas-VideoStudio
Read this FIRST on any video-production request to pick and lock the line — generate (AI footage), compose (designed HTML), edit (cut real footage), or AUTO end-to-end.
pawbytes/skill-suites
Video production specialist for short-form, long-form, episodic, and motion graphics video.
curiositech/some_claude_skills
Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols.
curiositech/some_claude_skills
End-to-end form handling with react-hook-form, Zod schemas, validation patterns, error messaging, field arrays, and multi-step wizards.
curiositech/some_claude_skills
Build production CI/CD pipelines with GitHub Actions. An agent skill from curiositech/some_claude_skills.
curiositech/some_claude_skills
Expert in background job processing with Bull/BullMQ (Redis), Celery, and cloud queues.
curiositech/some_claude_skills
Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations.
curiositech/some_claude_skills
Build production computer vision pipelines for object detection, tracking, and video analysis.
Works with
Categories
Expert in script-to-video production pipelines for Apple Silicon Macs. AI Video Production Master is an agent skill from curiositech/some_claude_skills. Expert in script-to-video production pipelines for Apple Silicon Macs.
AI Video Production Master fits situations like: tasks that involve AI video generation; tasks that involve Video production; tasks that involve Motion graphics.
Run `npx skills add curiositech/some_claude_skills --skill ai-video-production-master -a claude-code`. Or copy the skill folder (.claude/skills/ai-video-production-master in curiositech/some_claude_skills) into .claude/skills/ai-video-production-master in your project. Claude Code loads it when a task matches its description.
Run `npx skills add curiositech/some_claude_skills --skill ai-video-production-master -a codex`. Or copy the skill folder (.claude/skills/ai-video-production-master in curiositech/some_claude_skills) into .agents/skills/ai-video-production-master 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 curiositech/some_claude_skills --skill ai-video-production-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-video-production-master, .gemini/skills/ai-video-production-master, .github/skills/ai-video-production-master and .opencode/skills/ai-video-production-master in your project.
Going by SKILL.md and its folder, AI Video Production Master needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(python:*,ffmpeg:*,npm:*), WebFetch, mcp__firecrawl__firecrawl_search.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
AI Video Production Master is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.8k 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 AI Video Production Master: HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars), Lazy Frames (cosmicstack-labs/lazy-frames, 163 stars), Tesseract Video (mirage-hq/Tesseract, 130 stars) and Orbit Card (heygen-com/hyperframes, 60k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
curiositech (a GitHub organization) maintains it in curiositech/some_claude_skills, which has 244 GitHub stars. The repository holds 95 skills in this directory. The repository was last updated on September 6, 2026.
Source: curiositech/some_claude_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.