Public Relations Manager 📰

AI-Powered Public Relations Assistant for OpenClaw

Version: 1.0.0 | Status: Production Ready ✅

📋 Description

Public Relations Manager is a comprehensive AI-powered public relations assistant that helps PR professionals, marketers, and founders manage their media relations, create compelling content, and plan strategic campaigns.

Perfect for:

- 🎯 PR Professionals - Manage media databases and outreach efficiently
🚀 Startups - Announce funding rounds and product launches professionally
📢 Marketing Teams - Coordinate content calendars and multi-channel campaigns

✨ Core Features

1. 🎯 Media Matching Engine

Intelligently match your story with the right journalists and media outlets using a 4-dimensional AI scoring algorithm:

- Category Match (40%): Direct + related category alignment
Influence Level (30%): Top-tier vs mid-tier vs niche outlets
Relationship (15%): Response rate + interaction history
Relevance (15%): Audience fit + outlet characteristics

Recommendation Levels:

- 🟢 Highly Recommended (80-100): Perfect fit, pitch immediately
🟡 Recommended (65-79): Strong match, good opportunity
🟠 Maybe (50-64): Possible fit, consider context
🔴 Not Suitable (<50): Poor match, skip

2. 📰 Press Release Generation

Generate professional press releases for:

- 📱 Product Launches: Feature announcements, new releases
💰 Funding Rounds: Series A/B/C, seed rounds
🤝 Partnerships: Strategic alliances, integrations

Each template includes:

- Professional headline generation
Structured body paragraphs
Quote formatting
Company boilerplate
Contact information module

3. ✉️ Media Pitch Creation

Create personalized media pitches with:

- Custom subject lines tailored to journalist interests
Journalist-specific personalization based on their beat
Exclusive offer support for unique story opportunities
Follow-up templates for continued engagement

4. 📅 Campaign Planning

Plan comprehensive PR campaigns with:

- Multi-week content calendars (4-8 weeks)
Content scheduling by date and type
Deadline tracking for upcoming and overdue items
AI-powered content suggestions based on campaign goals

📦 Installation

From PyPI (Recommended)

CODEBLOCK0

From ClawHub

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From GitHub Source

git clone https://github.com/ZhenRobotics/openclaw-public-relations-manager
cd openclaw-public-relations-manager
pip install -e .

🚀 Quick Start

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📝 Usage Examples

Example 1: Generate Press Release

CODEBLOCK4

Example 2: Quick Match and Pitch Workflow

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Example 3: Plan PR Campaign

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📊 Sample Database

The skill includes realistic sample data:

Media Outlets (5):

- 🚀 TechCrunch - Top-tier tech coverage
📰 The Wall Street Journal - Business/finance authority
💼 VentureBeat - Mid-tier tech news
💰 Forbes - Business and entrepreneurship
🔍 The Information - Tech insider coverage

Journalists (5):

- Profiles with beat coverage, contact info, response rates
Recent article lists
Influence level classification

🧪 Testing

Run the comprehensive test suite:

CODEBLOCK7

All 6 core tests pass with 100% success rate:

- ✅ Media matching engine
✅ Press release generation
✅ Media pitch creation
✅ Content calendar planning
✅ Quick workflows
✅ Database management

🔧 Parameters & Configuration

MediaCategory Enum

CODEBLOCK8

InfluenceLevel Enum

InfluenceLevel.TOP_TIER   # Major outlets (NYT, WSJ, TechCrunch)
InfluenceLevel.MID_TIER   # Industry publications
InfluenceLevel.NICHE      # Specialized blogs/newsletters
InfluenceLevel.EMERGING   # New/growing platforms

🗺️ Roadmap

v1.1 (Planned)

- 📊 Analytics dashboard for campaign performance
📧 Email integration for automated sending
📈 Media coverage tracking
💬 Sentiment analysis

v1.2 (Planned)

- 🔌 CRM integrations (HubSpot, Salesforce)
🌍 Multi-language support
📦 Press kit generation
🔔 Media monitoring alerts

v2.0 (Future)

- 🤖 AI-powered newsjacking suggestions
🔍 Competitive PR intelligence
⏰ Automated follow-up scheduling
💵 ROI measurement tools

📚 Resources

- GitHub: https://github.com/ZhenRobotics/openclaw-public-relations-manager
PyPI: https://pypi.org/project/openclaw-public-relations-manager/
Documentation: README.md
Contributing: CONTRIBUTING.md
Issues: https://github.com/ZhenRobotics/openclaw-public-relations-manager/issues

🤝 Support

- Email: code@zhenrobot.com
GitHub Issues: For bug reports and feature requests
GitHub Discussions: For questions and community support

📄 License

MIT License - Open source and free to use

👥 Credits

Author: Justin Wang
Co-Author: Claude Sonnet 4.5
Organization: ZhenRobotics

📊 Technical Details

- Language: Python 3.10+
Platforms: Linux, macOS, Windows
Dependencies: pydantic>=2.5.0, python-dateutil>=2.8.0
Code Size: 4,078 lines across 27 modules
Test Coverage: 6 comprehensive tests (100% pass rate)
Architecture: Modular design with clear separation of concerns

🎯 Best Practices

For PR Professionals

1. Build your media database gradually
Track journalist response rates
Personalize every pitch
Follow up strategically

For Startups

1. Prepare boilerplate and quotes in advance
Time announcements strategically
Build relationships before you need them
Measure and iterate

For Marketing Teams

1. Plan campaigns 4-6 weeks ahead
Align messaging across channels
Track all media interactions
Maintain consistent brand voice

🎊 Ready to transform your PR workflow? Install now and start managing media relations like a pro!

CODEBLOCK10

公共关系经理 📰

面向OpenClaw的AI驱动公共关系助手

版本: 1.0.0 | 状态: 生产就绪 ✅

📋 描述

公共关系经理是一款全面的AI驱动公共关系助手，帮助公关专业人士、营销人员和创始人管理媒体关系、创作引人入胜的内容并策划战略性营销活动。

适用人群:

- 🎯 公关专业人士 - 高效管理媒体数据库和对外联络
🚀 初创企业 - 专业发布融资轮次和产品上线
📢 营销团队 - 协调内容日历和多渠道营销活动

✨ 核心功能

1. 🎯 媒体匹配引擎

使用四维AI评分算法，智能匹配您的故事与合适的记者和媒体渠道：

- 类别匹配 (40%): 直接匹配 + 相关类别对齐
影响力等级 (30%): 顶级 vs 中端 vs 垂直渠道
关系度 (15%): 回复率 + 互动历史
相关性 (15%): 受众契合度 + 渠道特征

推荐等级:

- 🟢 强烈推荐 (80-100): 完美匹配，立即投递
🟡 推荐 (65-79): 高度匹配，良好机会
🟠 可能 (50-64): 可能匹配，考虑上下文
🔴 不推荐 (<50): 匹配度低，跳过

2. 📰 新闻稿生成

为以下场景生成专业新闻稿：

- 📱 产品发布: 功能公告、新品发布
💰 融资轮次: A/B/C轮、种子轮
🤝 合作伙伴关系: 战略联盟、集成合作

每个模板包含：

- 专业标题生成
结构化正文段落
引用格式
公司简介
联系信息模块

3. ✉️ 媒体投递创建

创建个性化媒体投递，包含：

- 定制主题行，贴合记者兴趣
针对记者的个性化内容，基于其报道领域
独家报道支持，提供独特故事机会
跟进模板，保持持续互动

4. 📅 活动策划

策划全面的公关活动，包含：

- 多周内容日历 (4-8周)
按日期和类型的内容排期
截止日期追踪，管理即将到来和逾期项目
AI驱动的内容建议，基于活动目标

📦 安装

从PyPI安装 (推荐)

bash pip install openclaw-public-relations-manager

从ClawHub安装

bash clawhub install public-relations-manager

从GitHub源码安装

bash git clone https://github.com/ZhenRobotics/openclaw-public-relations-manager cd openclaw-public-relations-manager pip install -e .

🚀 快速开始

python
from pr_manager import PRManager, MediaCategory

初始化公关管理器

pr = PRManager()

加载示例媒体数据库 (5个渠道 + 5位记者)

from prmanager.data import loadsamplemediadatabase outlets, journalists = loadsamplemedia_database() for outlet in outlets: pr.addmediaoutlet(outlet) for journalist in journalists: pr.add_journalist(journalist)

将故事匹配到相关媒体

result = pr.matchstoryto_media( story_title=公司完成1000万美元A轮融资, story_categories=[MediaCategory.TECH, MediaCategory.STARTUP], min_score=60.0 )

print(f找到 {len(result.matches)} 个相关媒体联系人)
for match in result.gettopmatches(5):
print(f{match.targetname}: {match.overallscore}/100)

📝 使用示例

示例1: 生成新闻稿

python

生成产品发布新闻稿

pressrelease = pr.generateproductlaunchpr(
company_name=您的公司,
product_name=您的产品,
key_benefit=简化团队协作,
problem_solved=远程协调的挑战,
key_features=[
实时协作,
AI驱动自动化,
企业级安全
],
availability=立即可用,
pricing=起价99美元/月,
quotes=[
{
speaker: CEO姓名,
title: 首席执行官,
company: 您的公司,
text: 这改变了我们行业的游戏规则。
}
],
boilerplate=关于您的公司：领先的软件提供商...,
contact_info={Name: 公关团队, Email: pr@company.com},
location=加利福尼亚州旧金山
)

保存为markdown

with open(press_release.md, w) as f: f.write(pressrelease.tomarkdown())

示例2: 快速匹配与投递工作流

python

一步完成故事匹配和投递生成

results = pr.quickmatchand_pitch(
story_title=AI初创公司颠覆行业,
story_categories=[MediaCategory.TECH, MediaCategory.STARTUP],
story_hook=公司推出突破性AI技术,
story_details=该平台自动化复杂工作流程...,
why_relevant=这与您的AI报道方向一致。,
top_n=5
)

审核并发送给前5位匹配记者

for journalist, pitch in results: print(f\n收件人: {journalist.email}) print(f主题: {pitch.subject_line}) print(pitch.to_email())

示例3: 策划公关活动

python
from datetime import date, timedelta

创建6周产品发布活动

campaign = pr.create_campaign( name=Q2产品发布, goal=product_launch, description=全面发布活动, start_date=date.today() + timedelta(days=14), duration_weeks=6, target_categories=[MediaCategory.TECH, MediaCategory.BUSINESS], key_messages=[ 革命性AI技术, 10倍生产力提升, 企业级安全 ], budget=75000 )

获取AI建议的活动内容

planner = pr.calendar_planner suggestions = planner.suggestcampaigncontent(campaign)

for suggestion in suggestions:
print(f{suggestion[title]} - {suggestion[content_type].value})

📊 示例数据库

该技能包含逼真的示例数据：

媒体渠道 (5个):

- 🚀 TechCrunch - 顶级科技报道
📰 华尔街日报 - 商业/金融权威
💼 VentureBeat - 中端科技新闻
💰 福布斯 - 商业与创业
🔍 The Information - 科技内幕报道

记者 (5位):

- 包含报道领域、联系信息、回复率的个人资料
近期文章列表
影响力等级分类

🧪 测试

运行完整测试套件：

bash
python testprmanager.py

所有6个核心测试均以100%成功率通过：

- ✅ 媒体匹配引擎
✅ 新闻稿生成
✅ 媒体投递创建
✅ 内容日历规划
✅ 快速工作流
✅ 数据库管理

🔧 参数与配置

MediaCategory 枚举

python MediaCategory.TECH # 科技 MediaCategory.STARTUP # 初创企业与创业 MediaCategory.BUSINESS # 通用商业 MediaCategory.FINANCE # 金融与投资 MediaCategory.CONSUMER # 消费品 MediaCategory.ENTERPRISE # 企业软件 MediaCategory.LIFESTYLE # 生活方式与文化 MediaCategory.HEALTH # 医疗健康与保健

InfluenceLevel 枚举

python InfluenceLevel.TOP_TIER # 主要渠道 (纽约时报、华尔街日报、TechCrunch) InfluenceLevel.MID_TIER # 行业出版物 InfluenceLevel.NICHE # 专业博客/通讯 InfluenceLevel.EMERGING # 新兴/成长平台

🗺️ 路线图

v1.1 (规划中)

- 📊 活动效果分析仪表板
📧 邮件集成，支持自动发送
📈 媒体报道追踪
💬 情感分析

v1.2 (规划中)

- 🔌 CRM集成 (HubSpot, Salesforce)
🌍 多语言支持
📦 新闻资料包生成
🔔 媒体监控提醒

v2.0 (未来)

- 🤖 AI驱动的新闻劫持建议
🔍 竞争公关情报
⏰ 自动跟进排期
💵 ROI测量工具

📚 资源

- GitHub: https://github.com/ZhenRobotics/openclaw-public-relations-manager

public-relations-manager公关经理