Agent skill

Video Explainer

by runesleo in runesleo/claude-video-kit

Turn a research brief, finished script, or generated MP4 into a reviewed and verified vertical explainer video.

MITAuto-check passedMedia & Creative

Install Video Explainer

skills CLI
$ npx skills add runesleo/claude-video-kit --skill video-explainer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install runesleo/claude-video-kit video-explainer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/runesleo/claude-video-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/video-explainer .claude/skills/video-explainer && rm -rf skills-src

Use ~/.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/

Facts

Skill name
video-explainer
GitHub stars
119
Token cost
~2.4k tokens
SKILL.md length
1,053 words
Files
8 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Turn a research brief, finished script, or generated MP4 into a reviewed and verified vertical explainer video.

  • Works in 6 steps: Can the current model or available… → Which requirements are real product,… → Which existing steps only compensate for… → …
  • An agent should choose the simplest current production strategy
  • SKILL.md covers Core contract, Install, Workflow and Fallback rule, plus 2 more sections
  • Calls node, python3 and npm

What it does

Video Explainer is an agent skill from runesleo/claude-video-kit. Turn a research brief, finished script, or generated MP4 into a reviewed and verified vertical explainer video. Use when an agent should choose the simplest current production strategy, preserve strict final-artifact quality gates, run the deterministic Remotion fallback, diagnose the local toolchain, or verify an existing MP4 before any manual publication step.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `agents/openai.yaml`, `references/brief-to-script.md` and `references/errors-and-privacy.md`).

It sits in Media & Creative, covering Video production, Deep research and Quality gates. It works with Remotion. The repository describes itself as: Agent Skill + Remotion pipeline: brief/script → review receipt → narrated 9:16 explainer. RC: video-explainer skill. The licence is MIT.

When your agent uses it

  • An agent should choose the simplest current production strategy
  • Preserve strict final-artifact quality gates
  • Run the deterministic Remotion fallback
  • Diagnose the local toolchain

Example prompts

  • “/video-explainer”

Requirements

  • Python 3
  • Node.js

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Can the current model or available capability produce the final MP4 directly at the required quality?
  2. Which requirements are real product, safety, brand, or evidence invariants?
  3. Which existing steps only compensate for older model limitations?
  4. Can intermediate stages be skipped without weakening final acceptance?
  5. What is the simplest strategy likely to pass the final gates?
  6. If that strategy fails, fall back to the deterministic repository-owned recipe.

What it can do on your machine

Read from SKILL.md and the folder at commit 43e3cd1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • node
    • python3
    • npm
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm and npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Video Explainer loads about 2.4k tokens when it runs, and up to ~6.6k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 1,053 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.6k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from runesleo/claude-video-kit at commit 43e3cd1, republished under its MIT licence (© runesleo). 1,053 words, ~2,359 tokens.

Download SKILL.mdSave it as .claude/skills/video-explainer/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
video-explainer
description
Turn a research brief, finished script, or generated MP4 into a reviewed and verified vertical explainer video. Use when an agent should choose the simplest current production strategy, preserve strict final-artifact quality gates, run the deterministic Remotion fallback, diagnose the local toolchain, or verify an existing MP4 before any manual publication step.

Video Explainer

Version note: v0.3.0-rc.1 / 2026-09-27 / Make production strategy adaptive while keeping the deterministic Remotion recipe as a strict fallback. Final-artifact acceptance is strategy-independent and bound to the exact MP4 bytes. Keep upload, account access, credentials, private voice assets, hosted rendering, and publication out of scope.

Produce a local video and evidence packet. Never upload or publish from this skill.

Core contract

This Skill separates what must be true of the final artifact from how the artifact is produced.

Before forcing an existing recipe, run a capability challenge:

  1. Can the current model or available capability produce the final MP4 directly at the required quality?
  2. Which requirements are real product, safety, brand, or evidence invariants?
  3. Which existing steps only compensate for older model limitations?
  4. Can intermediate stages be skipped without weakening final acceptance?
  5. What is the simplest strategy likely to pass the final gates?
  6. If that strategy fails, fall back to the deterministic repository-owned recipe.

Choose one execution strategy:

  • direct_artifact — a current model/capability produces the final MP4 directly. Do not require motion-storyboard.json, script.json, TTS, alignment, or Remotion merely to satisfy a historical recipe.
  • agent_orchestrated — an agent may choose and combine tools as implementation details. Intermediate artifacts are optional unless they are needed to satisfy the brief or evidence requirements.
  • legacy_remotion — use the repository-owned deterministic path when direct generation cannot preserve facts, branding, layout control, narration identity, or other required qualities.

All three strategies converge on objective MP4 verification plus an independent final-artifact review. Production freedom never bypasses final acceptance.

Install

The deterministic fallback orchestrates a local clone of claude-video-kit; it does not bundle the renderer. From the repository root, install the runtime and register the Skill with:

bash
npm ci --prefix remotion
npx skills add runesleo/claude-video-kit --skill video-explainer

For repository development, run commands from the repository root.

Workflow

  1. Read the brief and run the capability challenge above. Select direct_artifact, agent_orchestrated, or legacy_remotion. Prefer the simplest strategy that can plausibly pass the same final acceptance contract.

  2. If using direct_artifact or agent_orchestrated, produce the final 9:16 MP4 without manufacturing legacy intermediate files just to satisfy the old recipe. Then skip to Step 6.

  3. If using legacy_remotion, run the read-only doctor before changing a project:

    bash
    node scripts/video-explainer.mjs doctor --output <output-directory>

    Read setup-and-doctor.md when doctor blocks or the environment is new.

  4. For legacy_remotion, turn the brief into motion-storyboard.json before treating the script as ready. For every scene, define its information purpose, visual metaphor, motion grammar, why motion communicates better than a static card, duration hint, and explicit 3D decision.

    Read motion-storyboard.md, then validate:

    bash
    python3 scripts/check_storyboard.py <project>

    Production planning in this deterministic path must not default to title + card + bullets. Generic entrance/exit effects (fade, slide, zoom, etc.) do not count as an information model by themselves. 3D is an exception that must earn its render/debug cost with a concrete comprehension benefit.

  5. For legacy_remotion, convert the approved information plan into script.json, require the independent pre-render review, and render only from a current pass receipt:

    bash
    node scripts/video-explainer.mjs review <project> --input <project>/review-input.json
    node scripts/video-explainer.mjs render <project>

    Read brief-to-script.md and review-gate.md. The pre-render gate checks facts, structure, duration, visual feasibility, hierarchy, simplicity, clarity, legibility, craft, privacy, and copyright. Any script edit makes that receipt stale.

    On macOS, use --demo-quality only for a credential-free first success. It forces the built-in demo voice and script-timed captions; that explicit demo path may omit a storyboard and is never publication-quality. Read render-and-verify.md before running a custom project.

  6. For every strategy, verify the exact final MP4 objectively:

    bash
    node scripts/verify-shorts.mjs <video.mp4>

    For the deterministic Remotion path, prefer bound render metadata when available:

    bash
    node scripts/verify-shorts.mjs <project>/out/full.mp4 \
      --metadata <project>/metadata.json

    The objective verifier checks canvas, duration, and scene rhythm. It does not prove factual correctness, visual polish, privacy, copyright, narration consistency, or end-card correctness.

  7. Require an independent final-artifact review bound to the exact MP4 SHA-256:

    bash
    node scripts/video-explainer.mjs review-render <video.mp4> \
      --input <render-review-input.json>

    The final-artifact review is strategy-independent. It requires:

    • facts
    • structure
    • duration
    • hierarchy
    • simplicity
    • clarity
    • legibility
    • craft
    • privacy
    • copyright
    • audio_consistency
    • end_card

    Record production_strategy in the review input when known. It is traceability metadata, not a quality waiver.

    If any final-artifact check is fix or block, revise or regenerate. A changed MP4 invalidates the receipt.

  8. Before any distribution handoff, finish all cover/subtitle/audio edits and follow the repository's final release gate: python3 scripts/video_release_gate.py evaluate, then verify on the final master. Require the platform's independent video_final_review.v1, three hash-bound QA docs, current quality profile, and objective audio/cover checks. Keep the Step 7 final-artifact review; it cannot substitute for the platform release receipt. build-distribute-pack verifies that receipt before writing any handoff. Downstream publishers must verify again immediately before an authorized upload/schedule action.

  9. Report the chosen production strategy, video path, objective verification result, final-artifact review receipt, release-gate status (or explicitly not run), elapsed time, and known limitations. For legacy_remotion, also report storyboard validation and the pre-render receipt. A local pass is evidence for the artifact, not publication approval.

Show full SKILL.md (279 more words)Show less

Fallback rule

If direct_artifact or agent_orchestrated fails final acceptance, first determine whether another autonomous attempt can reasonably fix the defect. If deterministic control is required for facts, data visualization, brand layout, narration identity, or reproducibility, fall back to legacy_remotion.

Do not force the deterministic recipe merely because it exists. Do not accept a direct artifact merely because it was generated by a newer model.

Canonical first success

Run the repository-owned neutral demo:

bash
node scripts/video-explainer.mjs demo --output /tmp/video-explainer-first-success

The demo exercises the deterministic fallback. It must create a current pre-render pass receipt before TTS, render locally without an API key on supported macOS, and run the shorts verifier. The explicit demo-quality script-alignment path may omit motion-storyboard.json; this exception exists to preserve a credential-free tooling smoke test, not to define production quality. The demo intentionally does not self-approve the final-artifact gate because an independent reviewer must inspect the actual MP4. It must not read an account, upload media, or send the brief to a remote service.

Stop conditions

  • Stop the legacy_remotion production path when motion-storyboard.json is missing or fails its gate. The only exception is the explicit demo-quality script-alignment path.
  • Stop legacy_remotion before TTS/render when the pre-render review is missing, stale, fix, or block.
  • Stop every strategy short of publication-quality acceptance when final-artifact review is missing, stale, fix, or block.
  • Stop when objective MP4 verification fails.
  • Stop distribution handoff when final release evidence is missing, stale, malformed, or fails evaluate / verify.
  • Stop when doctor reports a required runtime missing for the deterministic fallback; give its exact action.
  • Stop before any upload, public post, deploy, paid API call, credential setup, or account action and return that boundary to the user.
  • Read errors-and-privacy.md for recovery and data-handling rules.

© runesleo, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in skills/video-explainer of runesleo/claude-video-kit.

  • SKILL.md
  • agents/openai.yaml
  • references/brief-to-script.md
  • references/errors-and-privacy.md
  • references/motion-storyboard.md
  • references/render-and-verify.md
  • references/review-gate.md
  • references/setup-and-doctor.md

Open the folder on GitHubat commit 43e3cd1

Compare with similar skills

Video Explainer 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.

Video Explainer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Video Explainer this skillrunesleo/claude-video-kit119—~2.4kAutomated safety check: PassMIT
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.4k6 repos~3.2kAutomated safety check: NotesApache-2.0
Video ShotcraftVincentwei1021/video-shotcraft11k—~2.6kAutomated safety check: PassApache-2.0
HyperFrames Video Entry Pointheygen-com/hyperframes59k3 repos~5.2kAutomated safety check: PassApache-2.0
Writing Docsremotion-dev/remotion63k1 repos~1.9kAutomated safety check: PassCustom licence
Brand Launch Video Starvibe-motion/skills1.3k—~2.3kAutomated safety check: PassNone

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Works with

Questions about Video Explainer

What does Video Explainer do?

Turn a research brief, finished script, or generated MP4 into a reviewed and verified vertical explainer video. Video Explainer is an agent skill from runesleo/claude-video-kit. Turn a research brief, finished script, or generated MP4 into a reviewed and verified vertical explainer video.

When should I use Video Explainer?

Video Explainer fits situations like: an agent should choose the simplest current production strategy; preserve strict final-artifact quality gates; run the deterministic Remotion fallback; diagnose the local toolchain.

How do I install Video Explainer in Claude Code?

Run `npx skills add runesleo/claude-video-kit --skill video-explainer -a claude-code`. Or copy the skill folder (skills/video-explainer in runesleo/claude-video-kit) into .claude/skills/video-explainer in your project. Claude Code loads it when a task matches its description.

How do I install Video Explainer in Codex?

Run `npx skills add runesleo/claude-video-kit --skill video-explainer -a codex`. Or copy the skill folder (skills/video-explainer in runesleo/claude-video-kit) into .agents/skills/video-explainer in your project. Codex loads it when a task matches its description.

Can I use Video Explainer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add runesleo/claude-video-kit --skill video-explainer -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-explainer, .gemini/skills/video-explainer, .github/skills/video-explainer and .opencode/skills/video-explainer in your project.

What does Video Explainer need to run?

Going by SKILL.md and its folder, Video Explainer needs the command-line tools its instructions call (node, python3, npm and npx). Our summary lists: Python 3; Node.js.

Does Video Explainer access the network?

SKILL.md contains no URLs. Its commands use npm and npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Video Explainer safe to install?

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.

What licence does Video Explainer use?

Video Explainer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Video Explainer use?

About 2.4k tokens (SKILL.md is roughly 9.4k 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 4.2k tokens, read only when the agent opens those files.

What are the alternatives to Video Explainer?

Skills that share tags, products or a category with Video Explainer: Stitch to Remotion Walkthrough Videos (google-labs-code/stitch-skills, 8.4k stars), Video Shotcraft (Vincentwei1021/video-shotcraft, 11k stars), HyperFrames Video Entry Point (heygen-com/hyperframes, 59k stars) and Writing Docs (remotion-dev/remotion, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Video Explainer?

runesleo (a GitHub user) maintains it in runesleo/claude-video-kit, which has 119 GitHub stars. The repository was last updated on October 7, 2026.

Source: runesleo/claude-video-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.