video-production

video-production is a skill for Claude Code from siarhei-belavus/agent-public. It costs 51 tokens per session (1,660 once invoked), scanned A, original, MIT.

A process for turning a video brief into a production script that an editor can follow in CapCut or similar video software.

In plain words
What is it for?
Use it to specify scenes, timings, video and audio tracks, assets, voice-over, sound effects, text, and editing actions.
Why use it?
It fills in important missing details through a limited series of focused questions and turns the answers into a precisely timed editing plan.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit Use it to specify scenes, timings, video and audio tracks, assets, voice-over, sound effects, text, and editing actions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/siarhei-belavus/agent-public/video-production
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add siarhei-belavus/agent-public --skill video-production
Clone the repo
git clone --depth 1 https://github.com/siarhei-belavus/agent-public

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for video-production

README.md
[![agentmods](https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/video-production/github.svg)](https://agentmods.dev/skills/siarhei-belavus/agent-public/video-production)
Your own site
<a href="https://agentmods.dev/skills/siarhei-belavus/agent-public/video-production"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/video-production/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for video-production

Your own site · 80×15
<a href="https://agentmods.dev/skills/siarhei-belavus/agent-public/video-production"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/video-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,660 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.01660
Opus 5.5 $0.00020 $0.00664
Sonnet 5.5 $0.00010 $0.00332
Haiku 4.5 $0.00005 $0.00166

Measured 2mo ago against content hash da535b0ae064, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

video-production scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/video/video-production/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User input (must consider):

$ARGUMENTS

Objective

Transform the brief into a production-ready script a video editor can execute in CapCut (or similar): exact timings, track plan, assets, and steps. Min tokens, max signal.

Operating Rules (hard)

  • Ask ≤ 8 clarification questions total.
  • Ask exactly 1 question per message.
  • Do not ask what the user already specified.
  • Stop questions when: critical gaps filled OR user says “proceed/done/enough”.
  • After questions: output Configuration Summary + ask for confirmation (“Generate script now? yes/adjust”).
  • On confirmation: output the full script in Markdown (content only; also suggest a filename).

Precision Standards

  • Timestamp format: M:SS.s (round to 0.1s).
  • Use absolute times across the whole video.
  • Every timeline element must have: Track, Start, End, Duration.
  • Prefer tables over prose.
  • Per scene: include an ASCII track timeline if the scene has overlapping elements (text+SFX+VO), otherwise omit.

CapCut Reality / Non-hallucination

  • Menu/UI varies by platform/version.
  • If a path is uncertain, write:
    • Path (may vary): … and add Search keyword: “…”.
  • Never invent ultra-specific UI labels or pixel-perfect coordinates.

Critical clarifications to enforce (prevent common errors)

  • Transitions = between 2 clips that touch/overlap on the timeline.
  • Animations = on a single clip/layer (IN / COMBO / OUT).
  • Font size (pt) ≠ text box size.

Track Convention (fixed)

  • Visual Track 1 = base/background (bottom). Track 2+ = overlays (higher = on top).
  • Audio A1 = music bed, A2 = SFX, A3 = voiceover (adjust if user prefers).

Step 1 — Parse brief (internal)

Extract (don’t over-explain): purpose, audience, platform hints, duration hints, style references, required topics, constraints.

Step 2 — Gap check → question queue (internal)

Prioritize asking only what blocks a correct script:

  1. Target duration
  2. Primary platform / aspect ratio
  3. Audience + tone/style
  4. Key message + CTA
  5. Voiceover approach
  6. Brand constraints (logo/colors/fonts)
  7. Budget tier (assets)
  8. Any must-include footage (screen recording, talking head, stock)

Read the full file on GitHub · 216 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 216 lines · 51 tokens per session scan A da535b0ae064

Subscribe to this mod's changes

video-production is a skill published in the GitHub repository siarhei-belavus/agent-public (2 stars, last pushed 5mo ago), licensed MIT. It adds 51 tokens to every session and 1,660 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens