Crawler Summary

viral-content-rewrite answer-first brief

Reorganize scattered or rough text into engaging, well-structured articles optimized for viral potential on content platforms (WeChat, Zhihu, Juejin, etc.). Use when the user asks to rewrite, restructure, polish, or optimize article content for better readership, engagement, or viral spread. Also applies when the user provides draft notes or bullet points and wants a publishable article. --- name: viral-content-rewrite description: Reorganize scattered or rough text into engaging, well-structured articles optimized for viral potential on content platforms (WeChat, Zhihu, Juejin, etc.). Use when the user asks to rewrite, restructure, polish, or optimize article content for better readership, engagement, or viral spread. Also applies when the user provides draft notes or bullet points and wants a publi Capability contract not published. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 4/14/2026.

Freshness

Last checked 4/14/2026

Best For

viral-content-rewrite is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 94/100

viral-content-rewrite

Reorganize scattered or rough text into engaging, well-structured articles optimized for viral potential on content platforms (WeChat, Zhihu, Juejin, etc.). Use when the user asks to rewrite, restructure, polish, or optimize article content for better readership, engagement, or viral spread. Also applies when the user provides draft notes or bullet points and wants a publishable article. --- name: viral-content-rewrite description: Reorganize scattered or rough text into engaging, well-structured articles optimized for viral potential on content platforms (WeChat, Zhihu, Juejin, etc.). Use when the user asks to rewrite, restructure, polish, or optimize article content for better readership, engagement, or viral spread. Also applies when the user provides draft notes or bullet points and wants a publi

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 14, 2026

Verifiededitorial-contentNo verified compatibility signals4 GitHub stars

Capability contract not published. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 4/14/2026.

4 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 14, 2026

Vendor

Lkttle

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. 4 GitHub stars reported by the source. Last updated 4/14/2026.

Setup snapshot

git clone https://github.com/lkttle/viral-content-rewrite.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Lkttle

profilemedium
Observed Apr 14, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 14, 2026Source linkProvenance
Adoption (1)

Adoption signal

4 GitHub stars

profilemedium
Observed Apr 14, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

0

Snippets

0

Languages

typescript

Parameters

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Reorganize scattered or rough text into engaging, well-structured articles optimized for viral potential on content platforms (WeChat, Zhihu, Juejin, etc.). Use when the user asks to rewrite, restructure, polish, or optimize article content for better readership, engagement, or viral spread. Also applies when the user provides draft notes or bullet points and wants a publishable article. --- name: viral-content-rewrite description: Reorganize scattered or rough text into engaging, well-structured articles optimized for viral potential on content platforms (WeChat, Zhihu, Juejin, etc.). Use when the user asks to rewrite, restructure, polish, or optimize article content for better readership, engagement, or viral spread. Also applies when the user provides draft notes or bullet points and wants a publi

Full README

name: viral-content-rewrite description: Reorganize scattered or rough text into engaging, well-structured articles optimized for viral potential on content platforms (WeChat, Zhihu, Juejin, etc.). Use when the user asks to rewrite, restructure, polish, or optimize article content for better readership, engagement, or viral spread. Also applies when the user provides draft notes or bullet points and wants a publishable article.

爆款内容改写

概述

将零散素材、草稿笔记或结构松散的文本,重新组织为具有传播力的文章。核心目标:让读者愿意点开、读完、转发。

适用场景

  • 用户提供了零散的文本素材,需要组织成完整文章
  • 已有文章结构松散,需要优化叙事节奏和可读性
  • 用户要求"改写""润色""优化文章""提升阅读量"
  • 草稿笔记转为可发布的公众号/知乎/掘金等平台文章
  • 用户要求增加文章的"爆款概率"或"传播力"

工作流程

步骤 1:分析源素材

通读全文,提取以下信息:

  1. 核心主题:这篇文章到底在讲什么?一句话概括
  2. 关键素材点:有哪些事实、数据、故事、观点可用
  3. 目标读者:技术人群 / 泛科普 / 行业从业者 / 大众
  4. 内容类型:技术科普 / 个人体验 / 教程 / 观点评论 / 行业分析
  5. 现有问题:结构松散?开头无力?缺乏节奏?专业术语过多?

步骤 2:确定改写策略

根据内容类型选择叙事结构(详见 rewrite-strategies.md):

| 内容类型 | 推荐结构 | 适用场景 | |---------|---------|---------| | 个人体验/探索 | 闯关递进式 | 有多次尝试、层层深入的过程 | | 技术科普 | 问题驱动式 | 解释一个技术概念或原理 | | 教程指南 | 步骤拆解式 | 教读者完成某件事 | | 观点评论 | 论点冲突式 | 表达鲜明观点、引发讨论 | | 行业分析 | 数据叙事式 | 用数据支撑结论 | | 多素材整合 | 主线串联式 | 零散素材需要一条主线贯穿 |

步骤 3:执行改写

按以下顺序改写(每个环节的详细技巧见 rewrite-strategies.md):

3.1 重写标题

标题决定 80% 的打开率。改写标题时遵循:

  • 制造信息差:让读者感觉"我不知道但应该知道"
  • 与读者建立关联:用"你""我"拉近距离
  • 具象化:数字 + 具体场景,避免抽象概括
  • 反常识:颠覆已有认知,激发好奇心
  • 避免学术腔:把论文标题改成聊天语气

3.2 重构开头(前 3 句话)

开头必须在 3 秒内抓住注意力,从以下钩子中选择:

  • 场景代入:从读者熟悉的日常场景切入
  • 抛出矛盾:给出反直觉结论,"别急,听我解释"
  • 故事开场:用一个真实案例或事件引入
  • 大胆表态:直接亮观点,引发继续阅读的欲望

3.3 重组正文结构

  • 为每个章节起有吸引力的小标题(不要用"一、二、三")
  • 每段聚焦一个信息点,长段落拆短
  • 每隔 3-4 段插入"呼吸点"(金句、类比、对比、小结)
  • 技术内容用类比翻译成人话
  • 删除对读者无价值的细节(如过长的代码、冗余的过程描述)
  • 保留并强化反转、意外、对比等高传播因子

3.4 优化表达风格

  • 口语化:像跟朋友聊天一样写
  • 短句 + 长句交替,制造节奏感
  • 关键结论加粗,帮助扫读型读者
  • 专业术语首次出现时,紧跟一句大白话翻译
  • 适当自嘲、玩梗,拉近与读者的距离

3.5 设计结尾

  • 总结核心观点(一句话金句优于长段落)
  • 升华主题:从具体事件引申到更大的意义
  • 互动钩子:提问或征集评论区讨论,提升互动率

步骤 4:增删内容判断

该删的

  • 读者无法验证、无法理解的大段技术细节
  • 重复表达同一观点的段落
  • 对叙事主线无贡献的旁枝信息
  • 过长的原始输出/日志/代码(精简到关键部分)

该加的

  • 衔接段落之间的过渡句
  • 关键转折处的情绪铺垫("本以为到此结束,但...")
  • 对比呈现(有 vs 没有、之前 vs 之后、A vs B)
  • 章节末尾的短评/金句(加粗,帮助提炼信息)
  • 结尾的互动引导

步骤 5:输出

  1. 输出完整改写后的文章(Markdown 格式)
  2. 在文章末尾或单独段落中,简要说明改写策略(改了什么、为什么改)

核心原则

爆款三要素

好的内容 = 把复杂的事情讲简单 + 把无聊的事情讲有趣 + 让读者觉得"这跟我有关"

类比是第一生产力

技术概念必须类比。类比要求:

  • 映射到读者日常生活中的具体事物
  • 保持核心逻辑关系一致
  • 一句话说完,不要把类比做得比原概念更复杂

读者视角优先

改写时始终问自己:

  • "读者为什么要读这篇文章?"
  • "读完能获得什么?"
  • "这段话对读者有价值吗?"

控制篇幅

| 平台 | 建议字数 | 说明 | |------|---------|------| | 微信公众号 | 2000-3500 字 | 太长读者疲劳,太短讲不透 | | 知乎 | 2000-5000 字 | 可以偏长,但需要结构清晰 | | 掘金 | 1500-4000 字 | 代码部分不计入 | | 小红书 | 500-1000 字 | 短平快,信息密度高 |


改写策略详情

各叙事结构的完整说明、技巧细节和适用示例,见 rewrite-strategies.md

改写前后对照示例

真实改写案例的详细对照分析,见 examples.md

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/snapshot"
curl -s "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/contract"
curl -s "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T04:44:04.233Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Lkttle",
    "href": "https://github.com/lkttle/viral-content-rewrite",
    "sourceUrl": "https://github.com/lkttle/viral-content-rewrite",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:26:47.783Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:26:47.783Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "4 GitHub stars",
    "href": "https://github.com/lkttle/viral-content-rewrite",
    "sourceUrl": "https://github.com/lkttle/viral-content-rewrite",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:26:47.783Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/lkttle-viral-content-rewrite/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to viral-content-rewrite and adjacent AI workflows.