Agent skill

Historical Science Video Pack

by anbeime in anbeime/skill

Produces a full material pack for a three-minute history-of-science explainer video from a theme, era and core conclusion: narration, storyboard, Veo2 prompts and character design.

No licenceAuto-check passedMedia & Creative

SKILL.md written in Chinese; this summary is our English description.

Install Historical Science Video Pack

skills CLI
$ npx skills add anbeime/skill --skill historical-science-video-prod -a claude-code

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

GitHub CLI
$ gh skill install anbeime/skill historical-science-video-prod --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/anbeime/skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/historical-science-video-prod/historical-science-video-prod .claude/skills/historical-science-video-prod && 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
historical-science-video-prod
GitHub stars
7.8k
Token cost
~480 tokens
SKILL.md length
68 words
Files
9 (incl. scripts, references, assets)
Skills in repo
62
Repo updated
First seen
Licence
None found

At a glance

Produces a full material pack for a three-minute history-of-science explainer video from a theme, era and core conclusion: narration, storyboard, Veo2 prompts and character design.

  • Works in 3 steps: 准备输入信息 → 执行生成脚本 → 查看输出素材
  • Making a short explainer on a discovery from the history of science
  • SKILL.md covers 任务目标, 前置准备, 操作步骤 and 资源索引, plus 2 more sections
  • Runs Python scripts from its folder; calls python

What it does

You supply a topic such as the origin of the butterfly effect, a period such as 1961, and the core scientific conclusion. The agent runs `scripts/generate_video_materials.py` with theme, era, core conclusion and output directory arguments, and the script calls a language model, which takes roughly one to two minutes. Four files come back: a narration script of about 900 to 1100 characters, a storyboard table of 30 to 35 shots at four to six seconds each, a list of Veo2 prompts, and a character design sheet.

Reference notes cover the retro style parameters, the script structure and time allocation, the Veo2 prompt format and a multi-agent architecture, and template files for each output sit under the assets folder. The conclusion you provide must be accurate, because the generated copy is built on it. The description presents the package as suited to the Jimeng platform. The instructions are written in Chinese.

When your agent uses it

  • Making a short explainer on a discovery from the history of science
  • Getting a storyboard and Veo2 prompts that match a three-minute narration
  • Adjusting the retro visual style or time allocation of a generated script

Example prompts

  • “Generate a video pack on the discovery of penicillin, era 1928, core conclusion that mold can kill bacteria.”
  • “Make a three-minute script and storyboard about the origin of the butterfly effect in 1961.”
  • “Change the style guide to a warmer retro palette and regenerate the Veo2 prompts.”

Requirements

  • Python
  • Access to a language model that the generation script can call

Workflow steps

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

  1. 准备输入信息
  2. 执行生成脚本
  3. 查看输出素材

What it can do on your machine

Read from SKILL.md and the folder at commit e92662c. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

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

  • Network

    No URLs in SKILL.md.

    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

Historical Science Video Pack loads about 480 tokens when it runs, and up to ~4.6k if it reads all its reference files. Until then it costs about 30 tokens; SKILL.md has 68 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~30
When it runs · the whole SKILL.md, loaded when a task matches
~480
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.6k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 68 words (~480 tokens).

name
historical-science-video-prod
dependency.python
langchain-core>=0.1.0, langchain-openai>=0.0.5

Read the full SKILL.md on GitHub

Files

SKILL.md and 8 other files (scripts, references, assets) in skills/historical-science-video-prod/historical-science-video-prod of anbeime/skill.

  • SKILL.md
  • assets/output-templates/script-template.txt
  • assets/output-templates/storyboard-template.md
  • assets/output-templates/veo2-prompts-template.txt
  • references/multi-agent-architecture.md
  • references/script-structure.md
  • references/style-guide.md
  • references/veo2-prompt-template.md
  • scripts/generate_video_materials.py

Open the folder on GitHubat commit e92662c

Compare with similar skills

Historical Science Video Pack 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.

Historical Science Video Pack compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Historical Science Video Pack this skillanbeime/skill7.8k—~480Automated safety check: PassNone
Seedance Interview1370998960-del/https-github.com-Emily2040-seedance-2.0241—~2.6kAutomated safety check: PassMIT
60-Second Cinematic Story Directorkaruvanan/MiniMax-H3-Director-Cut-Studio132—~1.8kAutomated safety check: PassCustom licence
Educational Content And How Tosocial-media-skills/skills134—~1.9kAutomated safety check: PassMIT
Reels Scriptsocial-media-skills/skills134—~2.1kAutomated safety check: PassMIT
Video Cover Imageitwanger/toBeBetterJavaer18k—~3.3kAutomated safety check: PassNone

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Questions about Historical Science Video Pack

What does Historical Science Video Pack do?

Produces a full material pack for a three-minute history-of-science explainer video from a theme, era and core conclusion: narration, storyboard, Veo2 prompts and character design. You supply a topic such as the origin of the butterfly effect, a period such as 1961, and the core scientific conclusion.py` with theme, era, core conclusion and output directory arguments, and the script calls a language model, which takes roughly one to two minutes.

When should I use Historical Science Video Pack?

Historical Science Video Pack fits situations like: making a short explainer on a discovery from the history of science; getting a storyboard and Veo2 prompts that match a three-minute narration; adjusting the retro visual style or time allocation of a generated script.

How do I install Historical Science Video Pack in Claude Code?

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

How do I install Historical Science Video Pack in Codex?

Run `npx skills add anbeime/skill --skill historical-science-video-prod -a codex`. Or copy the skill folder (skills/historical-science-video-prod/historical-science-video-prod in anbeime/skill) into .agents/skills/historical-science-video-prod in your project. Codex loads it when a task matches its description.

Can I use Historical Science Video Pack 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 anbeime/skill --skill historical-science-video-prod -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/historical-science-video-prod, .gemini/skills/historical-science-video-prod, .github/skills/historical-science-video-prod and .opencode/skills/historical-science-video-prod in your project.

What does Historical Science Video Pack need to run?

Going by SKILL.md and its folder, Historical Science Video Pack needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python; Access to a language model that the generation script can call.

Does Historical Science Video Pack access the network?

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.

Is Historical Science Video Pack 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Historical Science Video Pack use?

No licence was found for Historical Science Video Pack or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Historical Science Video Pack use?

About 480 tokens (SKILL.md is roughly 1.9k 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 4.1k tokens, read only when the agent opens those files.

What are the alternatives to Historical Science Video Pack?

Skills that share tags, products or a category with Historical Science Video Pack: Seedance Interview (1370998960-del/https-github.com-Emily2040-seedance-2.0, 241 stars), 60-Second Cinematic Story Director (karuvanan/MiniMax-H3-Director-Cut-Studio, 132 stars), Educational Content And How To (social-media-skills/skills, 134 stars) and Reels Script (social-media-skills/skills, 134 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Historical Science Video Pack?

anbeime (a GitHub user) maintains it in anbeime/skill, which has 7,813 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 10, 2026.

Source: anbeime/skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.