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Competitor Monitor

Community
guia-matthieu
competitor-monitor

Monitor competitor websites for changes. Use when: tracking competitor pricing changes; monitoring new features; watching for content updates; alerting on website changes; competitive intelligence

Overview

Publisherguia-matthieu
Repositoryclawfu-skills
Skill namecompetitor-monitor
Stars
150
Forks
27
Bundled files
2
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by guia-matthieu on GitHub. Read the source before you install it.

Installation

Install the Competitor 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.
  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/guia-matthieu/clawfu-skills.git /tmp/clawfu-skills
mkdir -p .claude/skills
cp -r /tmp/clawfu-skills/skills/automation/competitor-monitor .claude/skills/competitor-monitor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor 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 Competitor 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 Competitor 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.

Competitor Monitor

Track competitor websites for changes and get alerts - stay informed about pricing, features, and content updates.

When to Use This Skill

  • Pricing intelligence - Track competitor price changes
  • Feature tracking - Monitor new feature announcements
  • Content watch - Track new blog posts or pages
  • Change alerts - Get notified of website updates
  • Competitive analysis - Regular competitor audits

What Claude Does vs What You Decide

Claude DoesYou Decide
Structures analysis frameworksStrategic priorities
Synthesizes market dataCompetitive positioning
Identifies opportunitiesResource allocation
Creates strategic optionsFinal strategy selection
Suggests implementation approachesExecution decisions

Dependencies

bash
pip install beautifulsoup4 requests click
# For diff comparison:
pip install diff-match-patch

Commands

Watch URL

bash
python scripts/main.py watch https://competitor.com/pricing
python scripts/main.py watch https://competitor.com/pricing --selector ".price"

Check Changes

bash
python scripts/main.py diff https://competitor.com/pricing --baseline cache.html

Monitor Pricing

bash
python scripts/main.py pricing https://competitor.com/pricing

Batch Monitor

bash
python scripts/main.py batch competitors.txt --output changes/

Examples

Example 1: Track Pricing Changes

bash
# First, capture baseline
python scripts/main.py watch https://competitor.com/pricing --save baseline.html

# Later, check for changes
python scripts/main.py diff https://competitor.com/pricing --baseline baseline.html

# Output:
# Changes Detected!
# ─────────────────────
# - Starter: $29/mo → $39/mo (+34%)
# - Pro: $99/mo (unchanged)
# + New: Enterprise tier added

Example 2: Monitor Multiple Competitors

bash
# Create competitor list
cat > competitors.txt << EOF
https://competitor1.com/pricing
https://competitor2.com/pricing
https://competitor3.com/features
EOF

# Run batch monitor
python scripts/main.py batch competitors.txt --output ./snapshots/

# Output: Creates timestamped snapshots for each URL

Skill Boundaries

What This Skill Does Well

  • Structuring strategic analysis
  • Identifying market opportunities
  • Creating strategic frameworks
  • Synthesizing competitive data

What This Skill Cannot Do

  • Replace market research
  • Guarantee strategic success
  • Know proprietary competitor info
  • Make executive decisions

Related Skills

Skill Metadata

  • Mode: centaur
yaml
category: automation
subcategory: competitive-intelligence
dependencies: [beautifulsoup4, requests]
difficulty: intermediate
time_saved: 4+ hours/week

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Competitor Monitor AI skill do?

Monitor competitor websites for changes. Use when: tracking competitor pricing changes; monitoring new features; watching for content updates; alerting on website changes; competitive intelligence

Why use Competitor Monitor on TypingMind?

Because you install it once and use it with any model. Competitor 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 Competitor Monitor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/competitor-monitor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Competitor 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 Competitor Monitor?

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

Is the Competitor Monitor AI skill free?

Yes. It is published on GitHub by guia-matthieu 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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