News Monitor logo

News Monitor

Organization
claude-office-skills
news-monitor

Set up news monitoring strategies, analyze news coverage, and synthesize current events. Create news digests and media analysis reports.

Overview

Publisherclaude-office-skills
Repositoryskills
Skill namenews-monitor
Stars
514
Forks
97
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by claude-office-skills on GitHub. Read the source before you install it.

Installation

Install the News Monitor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/claude-office-skills/skills/tree/main/news-monitor
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/claude-office-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/news-monitor .claude/skills/news-monitor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable News Monitor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads News Monitor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so News Monitor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

News Monitor Skill

Overview

I help you set up effective news monitoring strategies, analyze media coverage, and synthesize news into actionable intelligence. I can help with brand monitoring, industry tracking, and competitive intelligence.

What I can do:

  • Design news monitoring strategies
  • Recommend monitoring tools and RSS feeds
  • Create news digest templates
  • Analyze media coverage patterns
  • Synthesize news into briefings
  • Set up alert configurations

What I cannot do:

  • Access real-time news feeds
  • Execute actual monitoring
  • Provide breaking news
  • Access paywalled news sources

How to Use Me

Step 1: Define Monitoring Objectives

Tell me what you want to track:

  • Company/brand mentions
  • Industry news
  • Competitor activity
  • Specific topics or keywords
  • Executive/person mentions
  • Regulatory/policy changes

Step 2: Set Parameters

Specify:

  • Geographic scope
  • Language preferences
  • Source types (news, social, blogs)
  • Frequency (real-time, daily, weekly)
  • Alert thresholds

Step 3: Choose Output

  • Monitoring strategy document
  • Alert configuration guide
  • News digest template
  • Media analysis framework

Monitoring Strategy Framework

1. Keyword Strategy

Primary Keywords
Brand/Company: "Company Name", CompanyName, @CompanyHandle
Products: "Product Name", product-name
Executives: "CEO Name", "CTO Name"
Boolean Combinations
Simple: "Company Name" OR "Product Name"
Filtered: "Company Name" AND (launch OR announcement OR partnership)
Exclusion: "Company Name" NOT jobs NOT careers
Competitor Monitoring
"Competitor A" OR "Competitor B" AND (funding OR acquisition OR launch)

2. Source Strategy

Source TypeExamplesBest For
NewswiresReuters, AP, AFPBreaking news
BusinessBloomberg, FT, WSJFinancial/corporate
TechTechCrunch, Verge, WiredTechnology
IndustryTrade publicationsSector-specific
SocialTwitter, LinkedInReal-time sentiment
BlogsMedium, SubstackThought leadership
ForumsReddit, HNCommunity sentiment

3. Tool Recommendations

ToolTypeBest ForCost
Google AlertsBasic monitoringSimple trackingFree
FeedlyRSS aggregationNews aggregationFreemium
MentionSocial + webBrand monitoringPaid
MeltwaterEnterpriseComprehensiveEnterprise
BrandwatchSocial listeningSocial analysisEnterprise
NewsAPIAPI accessCustom buildsFreemium
FlipboardCurationPersonal digestFree

News Digest Template

markdown
# [Company/Topic] News Digest

**Period**: [Date range]
**Prepared by**: [Name/Team]
**Distribution**: [Internal/External]

---

## Headlines Summary

### Top Stories This Period
1. **[Headline 1]** - [Source], [Date]
   - Key point: [Summary]
   - Impact: [High/Medium/Low]
   
2. **[Headline 2]** - [Source], [Date]
   - Key point: [Summary]
   - Impact: [High/Medium/Low]

3. **[Headline 3]** - [Source], [Date]
   - Key point: [Summary]
   - Impact: [High/Medium/Low]

---

## Coverage by Category

### Company News
| Date | Headline | Source | Sentiment |
|------|----------|--------|-----------|
| | | | Positive/Neutral/Negative |

### Industry News
| Date | Headline | Source | Relevance |
|------|----------|--------|-----------|
| | | | High/Medium/Low |

### Competitor News
| Date | Headline | Source | Competitor |
|------|----------|--------|------------|
| | | | |

---

## Sentiment Analysis

| Category | Positive | Neutral | Negative | Total |
|----------|----------|---------|----------|-------|
| Company | | | | |
| Products | | | | |
| Executives | | | | |

**Overall Sentiment Trend**: [Improving/Stable/Declining]

---

## Key Themes

### Theme 1: [Name]
[Description and relevant articles]

### Theme 2: [Name]
[Description and relevant articles]

---

## Action Items

1. [ ] [Action based on coverage]
2. [ ] [Action based on coverage]
3. [ ] [Action based on coverage]

---

## Upcoming Events to Watch

| Date | Event | Potential Impact |
|------|-------|-----------------|
| | | |

---

## Sources Monitored

- [List of sources]

---

*Next digest: [Date]*

Media Analysis Framework

Coverage Metrics

MetricDescriptionCalculation
VolumeNumber of mentionsCount of articles
ReachPotential audienceSum of publication reach
Share of VoiceYour mentions vs competitorsYour mentions / Total market mentions
SentimentTone of coveragePositive:Neutral:Negative ratio
Message Pull-ThroughKey message presence% of articles with key messages

Sentiment Classification

SentimentIndicators
PositivePraise, success, growth, innovation
NeutralFactual reporting, announcements
NegativeCriticism, problems, failures, concerns

Source Authority Tiers

TierExamplesWeight
Tier 1WSJ, NYT, Reuters, FT10x
Tier 2Industry leaders, major outlets5x
Tier 3Regional, specialized2x
Tier 4Blogs, small outlets1x

Alert Configuration Guide

Google Alerts Setup

1. Go to google.com/alerts
2. Enter search query:
   "Your Company" OR "Your Product"
3. Show options:
   - How often: As-it-happens / Daily / Weekly
   - Sources: Automatic / News / Blogs / Web
   - Language: [Select]
   - Region: [Select]
   - How many: All results / Best results
4. Create alert

Recommended Alert Categories

CategoryQuery ExampleFrequency
Brand mentions"Company Name"As-it-happens
Product mentions"Product Name"Daily
Executive mentions"CEO Name"Weekly
Competitor news"Competitor" AND launchDaily
Industry trends[industry] AND "trends 2025"Weekly
Negative monitoring"Company Name" AND (problem OR issue OR complaint)As-it-happens

Output Format: Monitoring Strategy

markdown
# News Monitoring Strategy: [Topic/Brand]

**Prepared**: [Date]
**Review Cycle**: [Quarterly]

---

## Monitoring Objectives

1. [Objective 1]
2. [Objective 2]
3. [Objective 3]

---

## Keyword Strategy

### Primary Keywords

[keyword 1] [keyword 2] "[exact phrase]"


### Boolean Queries

**Brand Monitoring**:

"Company Name" OR "Product Name" OR @handle


**Competitor Tracking**:

("Competitor A" OR "Competitor B") AND (funding OR launch OR partnership)


**Industry News**:

[industry] AND (trends OR innovation OR market)


### Exclusion Terms

NOT (jobs OR careers OR hiring)


---

## Source Matrix

| Category | Sources | Priority |
|----------|---------|----------|
| Tier 1 News | [List] | High |
| Industry | [List] | High |
| Tech | [List] | Medium |
| Social | [List] | Medium |
| Blogs | [List] | Low |

---

## Tool Configuration

### Primary Tool: [Tool Name]
- Setup instructions
- Query configuration
- Alert settings

### Secondary Tools
- [Tool 2]: [Purpose]
- [Tool 3]: [Purpose]

---

## Workflow

### Daily
1. Review real-time alerts
2. Triage by priority
3. Flag for action

### Weekly
1. Compile digest
2. Analyze trends
3. Share with stakeholders

### Monthly
1. Full analysis report
2. Strategy review
3. Keyword refinement

---

## Distribution

| Stakeholder | Content | Frequency |
|-------------|---------|-----------|
| Executives | Summary | Weekly |
| PR Team | Full digest | Daily |
| Marketing | Competitor intel | Weekly |
| Sales | Battle card updates | As needed |

---

## Success Metrics

1. Coverage volume vs baseline
2. Share of voice vs competitors
3. Sentiment ratio improvement
4. Response time to mentions

Tips for Better Results

  1. Be specific about what you want to monitor
  2. Prioritize sources based on relevance
  3. Use Boolean operators to reduce noise
  4. Set appropriate frequency - not everything needs real-time
  5. Review and refine keywords regularly
  6. Establish escalation criteria for urgent mentions

Limitations

  • Cannot execute actual monitoring
  • Cannot access real-time news
  • Cannot access paywalled sources
  • Cannot provide breaking news
  • Strategy needs manual implementation

Built by the Claude Office Skills community. Contributions welcome!

Frequently asked questions

What does the News Monitor AI skill do?

Set up news monitoring strategies, analyze news coverage, and synthesize current events. Create news digests and media analysis reports.

Why use News Monitor on TypingMind?

Because you install it once and use it with any model. News Monitor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install News Monitor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-office-skills/skills/tree/main/news-monitor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use News Monitor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with News Monitor?

As many as you like. As long as a model supports skills, you can use News Monitor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the News Monitor AI skill free?

Yes. It is published on GitHub by claude-office-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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