wongkarwai-perspective

wongkarwai-perspective is a skill for Claude Code, Codex from momozi1996/DirectorAgents. It costs 102 tokens per session (535 once invoked), scanned A, a copy of akirakurosawa-perspective, MIT.

A creative writing and visual-design adviser based on recurring elements associated with filmmaker Wong Kar-wai, such as fragmented time, hazy lighting, and cinematic imagery.

In plain words
What is it for?
Developing scenes, scripts, visual concepts, color and lighting choices, camera ideas, timelines, pacing, and viewpoints in that style.
Why use it?
It gives a request a defined visual and storytelling direction when the user wants work inspired by those characteristics. It also states that the advice is a reference, not a replacement for the creator's judgment.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Developing scenes, scripts, visual concepts, color and lighting choices, camera ideas, timelines, pacing, and viewpoints in that style.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/momozi1996/directoragents/wongkarwai-perspective
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 momozi1996/DirectorAgents --skill wongkarwai-perspective
Clone the repo
git clone --depth 1 https://github.com/momozi1996/DirectorAgents

Made for: Claude Code, Codex.

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 wongkarwai-perspective

README.md
[![agentmods](https://agentmods.dev/badge/skills/momozi1996/directoragents/wongkarwai-perspective/github.svg)](https://agentmods.dev/skills/momozi1996/directoragents/wongkarwai-perspective)
Your own site
<a href="https://agentmods.dev/skills/momozi1996/directoragents/wongkarwai-perspective"><img src="https://agentmods.dev/badge/skills/momozi1996/directoragents/wongkarwai-perspective/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 wongkarwai-perspective

Your own site · 80×15
<a href="https://agentmods.dev/skills/momozi1996/directoragents/wongkarwai-perspective"><img src="https://agentmods.dev/badge/skills/momozi1996/directoragents/wongkarwai-perspective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 535 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 78% copy Near-identical to another mod 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 $0.00102 $0.00535
Opus 5 $0.00051 $0.00267
Sonnet 5 $0.00020 $0.00107
Haiku 4.5 $0.00010 $0.00053

Measured 13d ago against content hash ca5c2439c9de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

wongkarwai-perspective 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 13d 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.

Origin

This is a copy

78% identical to akirakurosawa-perspective — 40 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/wongkarwai-perspective/SKILL.md · 60 lines

What it actually says

王家卫导演风格顾问

"感官诗学与时间变奏" —— 王家卫

核心身份

我是王家卫导演的风格顾问,基于其创作思想、视觉语言和叙事手法, 为你的创作提供王家卫式的创意建议。

角色扮演规则

回答风格

  • 抽帧、迷离光影、时间流逝
  • 保持王家卫的独特美学立场
  • 用电影语言表达,营造画面感

回答结构

  1. 风格定位:分析需求与王家卫风格的契合点
  2. 视觉方案:色彩、光影、构图、镜头运动
  3. 叙事建议:时间线、节奏、视角
  4. 场景设计:关键场景的具体呈现
  5. 执行要点:可操作的创作建议

使用示例

用户:设计一个王家卫风格的[场景类型]场景

系统: [根据王家卫的风格特点提供具体建议]

核心风格特征

风格:感官诗学与时间变奏 关键词:抽帧、迷离光影、时间流逝 代表作品:《花样年华》《重庆森林》

诚实边界

  • 提供王家卫风格的参考建议,不替代实际创作
  • 建议需结合实际条件调整
  • 尊重王家卫的版权和创作伦理

本Skill由 女娲 · Skill造人术 生成 基于王家卫的公开作品和风格分析

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 13d ago First seen · 60 lines · 102 tokens per session scan A ca5c2439c9de

Subscribe to this mod's changes

wongkarwai-perspective is a skill published in the GitHub repository momozi1996/DirectorAgents (45 stars, last pushed 4mo ago), licensed MIT. It adds 102 tokens to every session and 535 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to akirakurosawa-perspective, differing in 40 lines, and is treated as a copy.

Related

Other skills, from other repositories

tianya-gods-team

A Chinese-language multi-agent decision system that asks 20 themed fictional or public-forum personas to analyze a question in parallel, then combines their views into one report.

momozi1996/tianya-skills · 230 tokens

adk-unit-design

Writes an as-built architecture document for one ADK code unit — purpose, execution flow, data flow, cross-class dependencies, extension points, and the parts that must not change — to docs/design/{topic}/{unit}/index.md. It describes the code as implemented, not a proposed design, and its reader is a developer about…

google/adk-python · 181 tokens

artifact-deploy

One-click deploy a user's pre-built app/artifact into their OWN AWS account and get a global public HTTPS link (Vercel-like), with a default TTL and promote-to-persistent. Use when the user says "deploy this", "ship this demo", "give me a public link", "share this externally", or "deploy to AWS".

kirodotdev/KiroCrew · 74 tokens

explain-for

Explain a topic, a piece of code, an error, or a design decision calibrated to one named audience — a 5-year-old, a 5th grader, a manager, a designer, a graduate student, a parent. Resolves who the explanation is for (from the request, or from what memory already records about that person), establishes the ground…

kirodotdev/KiroCrew · 102 tokens

web-verify

Look at your OWN front-end change before claiming it works -- navigate the loopback URL of a dev server or pod you started, screenshot the surface you changed, read the image to judge it, and embed it in chat. Three capture backends: playwright-cli (the session the dashboard Browser panel shows), the agent-browser CLI…

kirodotdev/KiroCrew · 0 tokens

learn-from-sage

Detection-gap (miss) analysis for Code Review Sage. Learn from shipped fixes, acted-on human comments, and design outcomes to close reviewer blind spots. Inline during review stages a candidate; a human triggers a one-shot AI consolidation into the live ruleset.

kirodotdev/KiroCrew · 56 tokens