Remotion
zhuzhaoyun/Molio
Molio's builtin skill for MAKING a video from any source — wiki notes, articles, scripts, product info, or a brief — and rendering it to MP4.
Turn concepts into animated explainer videos using Manim (Python) with MP4/GIF output, audio overlay, multi-scene composition.
$ npx skills add Mathews-Tom/armory --skill concept-to-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Mathews-Tom/armory concept-to-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/Mathews-Tom/armory.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/concept-to-video .claude/skills/concept-to-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 "concept-to-video" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/concept-to-video into .claude/skills/concept-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "concept-to-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/Mathews-Tom/armory/tree/main/skills/concept-to-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 Mathews-Tom/armory --skill concept-to-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Mathews-Tom/armory concept-to-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/concept-to-video .agents/skills/concept-to-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 "concept-to-video" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/concept-to-video into .agents/skills/concept-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "concept-to-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 Mathews-Tom/armory --skill concept-to-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Mathews-Tom/armory concept-to-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/concept-to-video .cursor/skills/concept-to-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 "concept-to-video" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/concept-to-video into .cursor/skills/concept-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "concept-to-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/Mathews-Tom/armory.git --path skills/concept-to-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 Mathews-Tom/armory --skill concept-to-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Mathews-Tom/armory concept-to-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/concept-to-video .gemini/skills/concept-to-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 "concept-to-video" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/concept-to-video into .gemini/skills/concept-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "concept-to-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 Mathews-Tom/armory concept-to-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 Mathews-Tom/armory --skill concept-to-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/concept-to-video .github/skills/concept-to-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 "concept-to-video" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/concept-to-video into .github/skills/concept-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "concept-to-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 Mathews-Tom/armory --skill concept-to-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 Mathews-Tom/armory concept-to-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mathews-Tom/armory.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/concept-to-video .opencode/skills/concept-to-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 "concept-to-video" agent skill from https://github.com/Mathews-Tom/armory/tree/main/skills/concept-to-video into .opencode/skills/concept-to-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "concept-to-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.
concept-to-videoTurn concepts into animated explainer videos using Manim (Python) with MP4/GIF output, audio overlay, multi-scene composition.
Concept To Video is an agent skill from Mathews-Tom/armory. Turn concepts into animated explainer videos using Manim (Python) with MP4/GIF output, audio overlay, multi-scene composition. Triggers on: "create a video", "animate this", "make an explainer", "manim animation", "motion graphic". NOT for React video, use remotion-video.
Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 45 other files, including scripts and reference files (for example `evals/cases.yaml`, `pyrightconfig.json` and `references/code2video/coder.md`).
It sits in Media & Creative, covering Motion graphics and Video production. It works with Manim, Python, React and Remotion. The repository describes itself as: Curated, production-grade skills for AI coding agents. Battle-tested workflows for developers who use AI seriously. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4594fb7. 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 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python3apt-getpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, 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.
Concept To Video loads about 4.9k tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 1,473 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 Mathews-Tom/armory at commit 4594fb7, republished under its MIT licence (© Mathews-Tom). 1,473 words, ~4,860 tokens.
.claude/skills/concept-to-video/SKILL.md (or your agent's skills folder). This skill also uses 41 other files; get the full folder from GitHub.Creates animated explainer videos from concepts using Manim (Python) as a programmatic animation engine.
| File | Purpose |
|---|---|
references/rules/pipeline-flow.md | RAG, ETL, CI/CD — sequential stage animations with arrows |
references/rules/architecture-layers.md | System stacks, network layers, abstraction hierarchies |
references/rules/algorithm-stepthrough.md | Sorting, search, graph traversal — stateful step-by-step animations |
references/rules/comparison.md | Side-by-side A vs B, before/after, trade-off visualizations |
references/rules/agent-interaction.md | Multi-agent message passing, distributed systems, pub/sub |
references/rules/math-concept.md | Equations, formulas, geometric proofs — LaTeX-free by default |
references/rules/training-loop.md | Gradient descent, RL loops, cyclic iterative processes |
references/rules/transitions.md | Fade and wipe transitions between scene sections |
references/rules/text-animation.md | Text replacement, progressive bullet reveal, callouts, emphasis |
references/rules/layout.md | Canvas coordinates, VGroup arrangement, spacing guidelines |
references/rules/audio-overlay.md | ffmpeg audio overlay — background music, voiceover, multi-track mixing |
references/rules/voiceover-scaffold.md | Timing script generation, TTS handoff, narration best practices |
references/rules/images.md | ImageMobject usage, logo/screenshot patterns, scaling and positioning |
references/rules/subtitles.md | SRT generation from scene timing, ffmpeg subtitle burning |
references/rules/multi-scene.md | Multiple Scene classes, ffmpeg concat, chapter-based composition |
references/templates/data_flow_template.py | Parametric pipeline/data flow animation (config-driven STAGES list) |
references/templates/comparison_template.py | Parametric side-by-side comparison (config-driven LEFT/RIGHT items) |
references/templates/timeline_template.py | Parametric timeline animation (config-driven EVENTS list) |
scripts/render_video.py | Wrapper around Manim CLI — handles quality, format, output path cleanup |
scripts/add_audio.py | ffmpeg wrapper — audio overlay, volume, fade-in/out, trim-to-video |
Manim is the "SVG of video" — you write Python code that describes animations declaratively, and it renders to MP4/GIF at any resolution. The Python scene file IS the editable intermediate: the user can see the code, request changes ("make the arrows red", "add a third step", "slow down the transition"), and only do a final high-quality render once satisfied. This makes the workflow iterative and controllable, exactly like concept-to-image uses HTML as an intermediate.
Concept → Manim scene (.py) → Preview (low-quality) → Iterate → Final render (MP4/GIF)-ql) for fast iterationscripts/render_video.pyBefore writing any scene, ensure Manim is installed:
# System deps (usually pre-installed)
apt-get install -y libpango1.0-dev libcairo2-dev ffmpeg 2>/dev/null
# Python package
pip install manim --break-system-packages -qVerify with: python3 -c "import manim; print(manim.__version__)"
Determine the best animation pattern, then read the matching rule file before writing any code.
| User intent | Rule file to read | Key Manim primitives |
|---|---|---|
| Explain a pipeline/flow | references/rules/pipeline-flow.md | Arrow, Rectangle, Text, AnimationGroup |
| Show architecture layers | references/rules/architecture-layers.md | VGroup, Arrange, FadeIn with shift |
| Algorithm step-through | references/rules/algorithm-stepthrough.md | Transform, ReplacementTransform, Indicate |
| Compare approaches | references/rules/comparison.md | Split screen VGroups, simultaneous animations |
| Mathematical concept | references/rules/math-concept.md | MathTex, geometric shapes, Rotate, Scale |
| Agent/multi-system interaction | references/rules/agent-interaction.md | Arrows between entities, Create/FadeOut |
| Training/optimization loop | references/rules/training-loop.md | Loop with Transform, ValueTracker, plots |
| Timeline/history | references/templates/timeline_template.py | NumberLine, sequential Indicate |
| Embed images or screenshots | references/rules/images.md | ImageMobject, SVGMobject |
| Add subtitles or captions | references/rules/subtitles.md | SRT generation, ffmpeg subtitle burn |
| Multiple distinct chapters | references/rules/multi-scene.md | Multiple Scene classes, ffmpeg concat |
| Add audio or voiceover | references/rules/audio-overlay.md | ffmpeg, scripts/add_audio.py |
| Transition between sections | references/rules/transitions.md | FadeOut all, shift off-screen |
| Text reveal, callouts, emphasis | references/rules/text-animation.md | ReplacementTransform, LaggedStart, Indicate |
| Positioning, spacing, layout | references/rules/layout.md | next_to, arrange, to_edge, move_to |
Check whether a parametric template covers the concept before writing a scene from scratch:
| If the concept is... | Start with template |
|---|---|
| A linear pipeline (A→B→C→D) | references/templates/data_flow_template.py — edit STAGES |
| A two-option comparison | references/templates/comparison_template.py — edit LEFT_ITEMS, RIGHT_ITEMS |
| A chronological timeline | references/templates/timeline_template.py — edit EVENTS |
| Anything else | Write from scratch using the relevant rule file |
When using a template: copy it to the working directory, edit the config constants at the top, do not restructure the class.
Core rules:
.py file with one class XxxScene(Scene).self.wait() calls between logical sections. 0.5s for breathing room, 1-2s for major transitions.font_size=36 minimum for body text, font_size=48+ for titles. Test at target resolution.# DO: Use animation groups for simultaneous effects
self.play(FadeIn(box), Write(label), run_time=1)
# DO: Use .animate syntax for property changes
self.play(box.animate.shift(RIGHT * 2).set_color(GREEN))
# DO: Stagger related elements
self.play(LaggedStart(*[FadeIn(item) for item in items], lag_ratio=0.2))
# DON'T: Add/remove without animation (jarring)
self.add(box) # Only for setup before first frame
# DON'T: Make animations too fast
self.play(Transform(a, b), run_time=0.3) # Too fast to readfrom manim import *
class ConceptScene(Scene):
def construct(self):
# === Section 1: Title / Setup ===
title = Text("Concept Name", font_size=56, weight=BOLD)
self.play(Write(title))
self.wait(1)
self.play(FadeOut(title))
# === Section 2: Core animation ===
# ... main content here ...
# === Section 3: Summary / Conclusion ===
# ... wrap-up animation ...
self.wait(2)Use low quality for fast iteration:
python3 scripts/render_video.py scene.py ConceptScene --quality low --format mp4This renders at 480p/15fps — fast enough for previewing timing and layout. Present the video to the user.
Common refinement requests and how to handle them:
| Request | Action |
|---|---|
| "Slower/faster" | Adjust run_time= params and self.wait() durations |
| "Change colors" | Update color constants |
| "Add a step" | Insert new animation block between sections |
| "Reorder" | Move code blocks around |
| "Different layout" | Adjust .shift(), .next_to(), .arrange() calls |
| "Add labels/annotations" | Add Text or MathTex objects with .next_to() |
| "Make it loop" | Add matching intro/outro states |
Once the user is satisfied:
python3 scripts/render_video.py scene.py ConceptScene --quality high --format mp4| Preset | Resolution | FPS | Flag | Use case |
|---|---|---|---|---|
low | 480p | 15 | -ql | Fast preview |
medium | 720p | 30 | -qm | Draft review |
high | 1080p | 60 | -qh | Final delivery |
4k | 2160p | 60 | -qk | Presentation quality |
| Format | Flag | Use case |
|---|---|---|
mp4 | --format mp4 | Standard video delivery |
gif | --format gif | Embeddable in docs, social |
webm | --format webm | Web-optimized |
Present both:
.py scene file (for future editing)Copy the final video to /mnt/user-data/outputs/ and present it.
If the user provides audio (music or voiceover), or requests it:
# Background music at 25% volume with fade-in/out
python3 scripts/add_audio.py final.mp4 music.mp3 \
--output final_with_audio.mp4 \
--volume 0.25 --fade-in 2 --fade-out 3 --trim-to-video
# Voiceover at full volume, trimmed to video length
python3 scripts/add_audio.py final.mp4 voiceover.mp3 \
--output final_narrated.mp4 --trim-to-videoFor voiceover scripting before recording, read references/rules/voiceover-scaffold.md.
For subtitles/captions, read references/rules/subtitles.md.
For advanced multi-track mixing, read references/rules/audio-overlay.md.
| Error | Cause | Resolution |
|---|---|---|
ModuleNotFoundError: manim | Manim not installed | Run Step 0 setup commands |
pangocairo build error | Missing system dev headers | apt-get install -y libpango1.0-dev |
FileNotFoundError: ffmpeg | ffmpeg not installed | apt-get install -y ffmpeg |
| Scene class not found | Class name mismatch | Verify class name matches CLI argument |
| Overlapping objects | Positions not calculated | Use .next_to(), .arrange(), explicit .shift() calls |
| Text cut off | Text too large or positioned near edge | Reduce font_size or adjust position within ±6,±3.5 |
| Slow render | Too many objects or complex transformations | Reduce object count, simplify paths, use lower quality |
LaTeX Error | LaTeX not installed (for MathTex) | Use Text instead, or install texlive-latex-base |
If LaTeX is not available, avoid MathTex and Tex. Use Text with Unicode math symbols instead:
# Instead of: MathTex(r"\frac{1}{n} \sum_{i=1}^{n} x_i")
# Use: Text("(1/n) Σ xᵢ", font_size=36)Single-shot mode (default) is fast and cheap — the coder writes scene.py directly from a concept. Use agentic mode for production-quality renders where layout correctness and asset resolution matter enough to justify additional LLM and VLM calls.
concept
└─► plan_storyboard.py ──► storyboard.json
│
▼
fetch_assets.py (optional)
│
▼
coder writes scene.py
│
▼
render_video.py --max-fix-attempts N
│ ▲
│ └─ LLM fixup loop (on failure, up to N retries)
▼
critic_pass.py --critic
│ ▲
│ └─ VLM layout patch (1 call with M image blocks)
▼
final MP4| Script | Flag | Default | Hard cap | Effect | Cost impact |
|---|---|---|---|---|---|
render_video.py | --max-fix-attempts | 0 | 3 | LLM-assisted auto-fix on render failure; 0 = disabled | +1 LLM call per retry |
critic_pass.py | --critic | disabled | — | Enable the VLM critic pass; noop without this flag | +1 VLM call (N image blocks) |
critic_pass.py | --critic-budget | 50000 | — | Token budget for critic call; aborts loudly if exceeded | Sets ceiling; use to prevent runaway spend |
critic_pass.py | --frames | 5 | 10 | Frames sampled from the rendered video for the critic | More frames → higher token cost per critic run |
fetch_assets.py | --adapter | none | — | Asset backend: local, iconfinder, none | iconfinder adds external API calls |
fetch_assets.py | --asset-dir | — | — | Root directory for --adapter=local; required with local | None |
The fixup loop adds one LLM call per failed render attempt — with --max-fix-attempts 3 you may pay up to 3 extra calls before the loop exhausts or succeeds. The critic pass adds one VLM call containing N PNG image blocks (default 5, max 10); each frame adds roughly 1 token per 800 bytes of base64-encoded PNG, so complex scenes at high resolution are materially more expensive. Setting --critic-budget to a conservative token ceiling (e.g. 20000) causes BudgetExceededError before the API call is made, so you never pay for an accidentally oversized request — the error is loud and non-recoverable by design.
# 1. Plan
python3 scripts/plan_storyboard.py "explain transformer self-attention" \
--output storyboard.json
# 2. (Optional) Fetch assets
python3 scripts/fetch_assets.py storyboard.json \
--adapter local --asset-dir ./assets --output resolved.json
# 3. Coder writes scene.py (Claude writes this from storyboard.json)
# 4. Render with auto-fix
python3 scripts/render_video.py scene.py AttentionScene \
--quality high --format mp4 --max-fix-attempts 3 \
--output final.mp4
# 5. Critic pass
python3 scripts/critic_pass.py scene.py final.mp4 \
--critic --critic-budget 40000 --frames 5Agentic pipeline design (storyboard planner, auto-fix loop, VLM critic) is adapted from Code2Video (arXiv 2510.01174, MIT). Vendored prompt templates live in references/code2video/ alongside the upstream LICENSE. Full vendoring record, pinned commit, and re-sync policy are tracked in root ATTRIBUTIONS.md.
scripts/add_audio.py to overlay audio after export.© Mathews-Tom, 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 41 other files (scripts, references) in skills/concept-to-video of Mathews-Tom/armory.
Open the folder on GitHubat commit 4594fb7
Concept To 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 |
|---|---|---|---|---|---|---|
| Concept To Video this skillMathews-Tom/armory | 329 | — | ~4.9k | Automated safety check: Pass | MIT | |
| Remotionzhuzhaoyun/Molio | 433 | — | ~4k | Automated safety check: Pass | Custom licence | |
| Remotion to HyperFrames Porterheygen-com/hyperframes | 60k | 3 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Anything2explainerVincentwei1021/anything2explainer | 2.4k | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Remotion Motion Graphicshaidrrrry/claude-remotion-skill | 340 | — | ~2k | Automated safety check: Pass | MIT | |
| Create Remotion GeistMarve10s/Better-Fullstack | 756 | — | ~1.4k | Automated safety check: Pass | MIT |
zhuzhaoyun/Molio
Molio's builtin skill for MAKING a video from any source — wiki notes, articles, scripts, product info, or a brief — and rendering it to MP4.
heygen-com/hyperframes
Ports an existing Remotion (React) composition to HyperFrames HTML with GSAP, one way, and grades the result against a tiered set of reference fixtures.
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…
haidrrrry/claude-remotion-skill
Create and edit professional motion graphics videos with Remotion (React-based video).
Marve10s/Better-Fullstack
Create Remotion videos using the Geist design system aesthetic.
chmonitor/chmonitor
Port an existing Remotion (React) composition to HyperFrames HTML.
Mathews-Tom/armory
Architecture reviews across 7 dimensions (structural, scalability, enterprise readiness, performance, security, ops, data) with scored reports.
Mathews-Tom/armory
Turn concepts into static HTML visuals exported as PNG or SVG files via HTML/CSS/SVG.
Mathews-Tom/armory
A skill your agent uses when analyzing an existing video URL or local recording: "watch this video", "analyze youtube video", "summarize this video", "youtube transcript", "find this moment", "what…
Mathews-Tom/armory
Deep code simplification and refactoring preserving behavior across Python, Go, TypeScript, Rust.
Mathews-Tom/armory
Maps the unresolved architecture, policy, and scope decisions that must be answered before planning can start: one durable decision ticket per question on the issue tracker, typed and blocker-linked…
Mathews-Tom/armory
Produces and refreshes .docs/handoff.md, a 200-line session-continuity runbook for coding agents.
Categories
Turn concepts into animated explainer videos using Manim (Python) with MP4/GIF output, audio overlay, multi-scene composition. Concept To Video is an agent skill from Mathews-Tom/armory. Turn concepts into animated explainer videos using Manim (Python) with MP4/GIF output, audio overlay, multi-scene composition.
Concept To Video fits situations like: : create a video; make an explainer; manim animation.
Run `npx skills add Mathews-Tom/armory --skill concept-to-video -a claude-code`. Or copy the skill folder (skills/concept-to-video in Mathews-Tom/armory) into .claude/skills/concept-to-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Mathews-Tom/armory --skill concept-to-video -a codex`. Or copy the skill folder (skills/concept-to-video in Mathews-Tom/armory) into .agents/skills/concept-to-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 Mathews-Tom/armory --skill concept-to-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/concept-to-video, .gemini/skills/concept-to-video, .github/skills/concept-to-video and .opencode/skills/concept-to-video in your project.
Going by SKILL.md and its folder, Concept To Video needs the command-line tools its instructions call (python3, apt-get and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Concept To Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.9k tokens (SKILL.md is roughly 19k 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 19k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Concept To Video: Remotion (zhuzhaoyun/Molio, 433 stars), Remotion to HyperFrames Porter (heygen-com/hyperframes, 60k stars), Anything2explainer (Vincentwei1021/anything2explainer, 2.4k stars) and Remotion Motion Graphics (haidrrrry/claude-remotion-skill, 340 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Mathews-Tom (a GitHub user) maintains it in Mathews-Tom/armory, which has 329 GitHub stars. The repository holds 80 skills in this directory. The repository was last updated on October 6, 2026.
Source: Mathews-Tom/armory on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.