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…
Workflow automation is the infrastructure that makes AI agents
Claude Code
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill workflow-automation --agent claude-code
Codex
$ npx skills add LiHongwei-cn/lihongwei-cn --skill workflow-automation -a codex -y
Cursor
$ npx skills add LiHongwei-cn/lihongwei-cn --skill workflow-automation -a cursor -y
Gemini CLI
$ npx skills add LiHongwei-cn/lihongwei-cn --skill workflow-automation -a gemini-cli -y
GitHub Copilot
$ npx skills add LiHongwei-cn/lihongwei-cn --skill workflow-automation -a github-copilot -y
OpenCode
$ npx skills add LiHongwei-cn/lihongwei-cn --skill workflow-automation -a opencode -y
Windsurf
$ npx skills add LiHongwei-cn/lihongwei-cn --skill workflow-automation -a windsurf -y
name: workflow-automation description: Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. risk: critical source: vibeship-spawner-skills (Apache 2.0) date_added: 2026-02-27
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.
This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.
Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility, Temporal for correctness, Inngest for developer experience. Pick based on your actual needs, not hype.
Steps execute in order, each output becomes next input
**When to use**: Content pipelines, data processing, ordered operations
""" Step 1 → Step 2 → Step 3 → Output ↓ ↓ ↓ (checkpoint at each step) """
""" import { inngest } from "./client";
export const processOrder = inngest.createFunction( { id: "process-order" }, { event: "order/created" }, async ({ event, step }) => { // Step 1: Validate order const validated = await step.run("validate-order", async () => { return validateOrder(event.data.order); });
// Step 2: Process payment (durable - survives crashes) const payment = await step.run("process-payment", async () => { return chargeCard(validated.paymentMethod, validated.total); });
// Step 3: Create shipment const shipment = await step.run("create-shipment", async () => { return createShipment(validated.items, validated.address); });
// Step 4: Send confirmation await step.run("send-confirmation", async () => { return sendEmail(validated.email, { payment, shipment }); });
return { success: true, orderId: event.data.orderId }; } ); """
""" import { proxyActivities } from '@temporalio/workflow'; import type * as activities from './activities';
const { validateOrder, chargeCard, createShipment, sendEmail } = proxyActivities<typeof activities>({ startToCloseTimeout: '30 seconds', retry: { maximumAttempts: 3, backoffCoefficient: 2, } });
export async function processOrderWorkflow(order: Order): Promise<void> { const validated = await validateOrder(order); const payment = await chargeCard(validated.paymentMethod, validated.total); const shipment = await createShipment(validated.items, validated.address); await sendEmail(validated.email, { payment, shipment }); } """
""" [Webhook: order.created] ↓ [HTTP Request: Validate Order] ↓ [HTTP Request: Process Payment] ↓ [HTTP Request: Create Shipment] ↓ [Send Email: Confirmation]
Configure each node with retry on failure. Use Error Trigger for dead letter handling. """
Independent steps run simultaneously, aggregate results
**When to use**: Multiple independent analyses, data from multiple sources
""" ┌→ Step A ─┐ Input ──┼→ Step B ─┼→ Aggregate → Output └→ Step C ─┘ """
""" export const analyzeDocument = inngest.createFunction( { id: "analyze-document" }, { event: "document/uploaded" }, async ({ event, step }) => { // Run analyses in parallel const [security, performance, compliance] = await Promise.all([ step.run("security-analysis", () => analyzeForSecurityIssues(event.data.document) ), step.run("performance-analysis", () => analyzeForPerformance(event.data.document) ), step.run("compliance-analysis", () => analyzeForCompliance(event.data.document) ), ]);
// Aggregate results const report = await step.run("generate-report", () => generateReport({ security, performance, compliance }) );
return report; } ); """
""" { "Type": "Parallel", "Branches": [ { "StartAt": "SecurityAnalysis", "States": { "SecurityAnalysis": { "Type": "Task", "Resource": "arn:aws:lambda:
MUNDO - THE EMPEROR. Complete AI orchestration system with 1208 skills, 25 capability modules, self-evolving, collective consciousness. GitHub Actions 24/7 automation.
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…
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…
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…
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 /…
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…
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…
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…