cheat-on-content
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
IMPORTANT - Path Resolution: This skill can be installed in different locations (plugin system, manual installation, global, or project-specific). Before executing any commands, determine the skill directory based on where you loaded this SKILL.md file, and use that path in all
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill playwright-skill --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/playwright-skillContext preview
The summary Claude sees to decide when to auto-load this skill.
IMPORTANT - Path Resolution: This skill can be installed in different locations (plugin system, manual installation, global, or project-specific). Before executing any commands, determine the skill directory based on where you loaded this SKILL.md file, and use that path in all
name: playwright-skill
description: "IMPORTANT - Path Resolution: This skill can be installed in different locations (plugin system, manual installation, global, or project-specific). Before executing any commands, determine the skill directory based on where you loaded this SKILL.md file, and use that path in all commands below."
risk: unknown
source: community
date_added: "2026-02-27"
plugin:
setup:
type: manual
summary: "Run `npm run setup` in the skill directory before first use to install Playwright and Chromium."
docs: "SKILL.md"**IMPORTANT - Path Resolution:** This skill can be installed in different locations (plugin system, manual installation, global, or project-specific). Before executing any commands, determine the skill directory based on where you loaded this SKILL.md file, and use that path in all commands below. Replace `$SKILL_DIR` with the actual discovered path.
Common installation paths:
General-purpose browser automation skill. I'll write custom Playwright code for any automation task you request and execute it via the universal executor.
**CRITICAL WORKFLOW - Follow these steps in order:**
1. **Auto-detect dev servers** - For localhost testing, ALWAYS run server detection FIRST:
cd $SKILL_DIR && node -e "require('./lib/helpers').detectDevServers().then(servers => console.log(JSON.stringify(servers)))"2. **Write scripts to /tmp** - NEVER write test files to skill directory; always use `/tmp/playwright-test-*.js`
3. **Use visible browser by default** - Always use `headless: false` unless user specifically requests headless mode
4. **Parameterize URLs** - Always make URLs configurable via environment variable or constant at top of script
1. You describe what you want to test/automate 2. I auto-detect running dev servers (or ask for URL if testing external site) 3. I write custom Playwright code in `/tmp/playwright-test-*.js` (won't clutter your project) 4. I execute it via: `cd $SKILL_DIR && node run.js /tmp/playwright-test-*.js` 5. Results displayed in real-time, browser window visible for debugging 6. Test files auto-cleaned from /tmp by your OS
cd $SKILL_DIR npm run setup
This installs Playwright and Chromium browser. Only needed once.
**Step 1: Detect dev servers (for localhost testing)**
cd $SKILL_DIR && node -e "require('./lib/helpers').detectDevServers().then(s => console.log(JSON.stringify(s)))"**Step 2: Write test script to /tmp with URL parameter**
// /tmp/playwright-test-page.js
const { chromium } = require('playwright');
// Parameterized URL (detected or user-provided)
const TARGET_URL = 'http://localhost:3001'; // <-- Auto-detected or from user
(async () => {
const browser = await chromium.launch({ headless: false });
const page = await browser.newPage();
await page.goto(TARGET_URL);
console.log('Page loaded:', await page.title());
await page.screenshot({ path: '/tmp/screenshot.png', fullPage: true });
console.log('📸 Screenshot saved to /tmp/screenshot.png');
await browser.close();
})();**Step 3: Execute from skill directory**
cd $SKILL_DIR && node run.js /tmp/playwright-test-page.js
// /tmp/playwright-test-responsive.js
const { chromium } = require('playwright');
const TARGET_URL = 'http://localhost:3001'; // Auto-detected
(async () => {
const browser = await chromium.launch({ headless: false, slowMo: 100 });
const page = await browser.newPage();
// Desktop test
await page.setViewportSize({ width: 1920, height: 1080 });
await page.goto(TARGET_URL);
console.log('Desktop - Title:', await page.title());
await page.screenshot({ path: '/tmp/desktop.png', fullPage: true });
// Mobile test
await page.setViewportSize({ width: 375, height: 667 });
await page.screenshot({ path: '/tmp/mobile.png', fullPage: true });
await browser.close();
})();// /tmp/playwright-test-login.js
const { chromium } = require('playwright');
const TARGET_URL = 'http://localhost:3001'; // Auto-detected
(async () => {
const browser = await chromium.launch({ headless: false });
const page = await browser.newPage();
await page.goto(`${TARGET_URL}/login`);
await page.fill('input[name="email"]', 'test@example.com');
await page.fill('input[name="password"]', 'password123');
await page.click('button[type="submit"]');
// Wait for redirect
await page.waitForURL('**/dashboard');
console.log('✅ Login successful, redirected to dashboard');
await browser.close();
})();// /tmp/playwright-test-form.js
const { chromium } = require('playwright');
const TARGET_URL = 'http://localhost:3001'; // Auto-detected
(async () => {
const browser = await chromium.launch({ headless: false, slowMo: 50 });
const page = await browser.newPage();
await page.goto(`${TARGET_URL}/contact`);
await page.fill('input[name="name"]', 'John Doe');
await page.fill('input[name="email"]', 'john@example.com');
await page.fill('textarea[name="message"]', 'Test message');
await page.click('button[type="submit"]');
// Verify submission
await page.waitForSelector('.success-message');
console.log('✅ Form submitted successfully');
await browser.close();
})();const { chromium } = require('playwright');
(async () => {
const browser = await chromium.launch({MUNDO - THE EMPEROR. Complete AI orchestration system with 1208 skills, 25 capability modules, self-evolving, collective consciousness. GitHub Actions 24/7 automation.
Repo: LiHongwei-cn/lihongwei-cn
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
提议并执行 rubric 或 bucket 升级。两种模式:**完整 rubric bump**(最高风险动作,5 步强制 + 跨模型审核)和 **--bucket-only 轻量重校**(只换 bucket 边界,不动 rubric 公式)。**Phase 2 强制走 cheat-score-blind…
cheat-on-content 的首次 onboarding 与脚手架创建器。统一流程——所有用户都走相同 5 阶段闭环,唯一区别是"发过视频的人"会在 init 时多一步:抓取已有视频建立历史 context(用于后续 cheat-seed 给更贴合的选题、更准的…
从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start…
把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链,按顺序应用每一步迁移文件。幂等:跑两次结果一样。失败停在中间版本不前进。触发词:"迁移"/"升级 state"/"migrate"/"我的 state…
从复盘评论数据派生 / 刷新账号的受众画像,写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分",persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号,cheat-score-blind…