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anysite-competitor-analyzer

Aggregate competitor intelligence from LinkedIn, GitHub, and community sources.

19|4|Updated Jan 29, 2026
Search Tags:#GitHub#LinkedIn#analyze#intelligence#sentiment#competitor#Reddit
One-click install
npx skills add https://github.com/anysiteio/agent-skills --skill anysite-competitor-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: anysite-competitor-analyzer
Source: https://github.com/anysiteio/agent-skills/tree/main/skills/anysite-competitor-analyzer
Command: npx skills add https://github.com/anysiteio/agent-skills --skill anysite-competitor-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the collection and synthesis of competitive intelligence across multiple data sources to produce up-to-date competitor profiles and leadership insights.

Core Features & Use Cases

  • Comprehensive profiling: aggregate data on companies, leadership, product positioning, pricing signals, and sentiment from web, LinkedIn, GitHub, and communities.

  • Multi-source intelligence: continuously monitor LinkedIn, social channels, GitHub activity, and discussion forums to surface real-time signals.

  • Leadership and market analysis: analyze founders/C-suite presence and track hiring, growth, and strategic positioning to inform strategy.

  • Use Case: Generate a battle card for a competitor by compiling messaging, pricing, leadership signals, and community sentiment to support strategic decision-making.

Quick Start

  1. Generate an analysis template for a target competitor: python scripts/analyze_competitor.py "Competitor Name" "https://competitor.com" > /tmp/analysis.json
  2. Populate findings by running the workflow described in the tool's workflow, then format the report: python scripts/analyze_competitor.py "Competitor Name" "https://competitor.com" |
    python -c "import sys,json; exec('from scripts.analyze_competitor import format_markdown_report; print(format_markdown_report(json.load(sys.stdin)))')" \

    /mnt/user-data/outputs/competitor_report.md

  3. Save final JSON and Markdown outputs for distribution.

Frequently Asked Questions about anysite-competitor-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate competitive intelligence gathering from LinkedIn and GitHub?▼

Automate competitive intelligence by running scripted workflows that scrape LinkedIn for leadership signals and analyze GitHub activity. This process continuously monitors multiple data sources to surface real-time market positioning and product strategy signals.

Can I generate a competitor battle card with pricing signals and community sentiment?▼

Generate a competitor battle card by aggregating messaging, pricing signals, and community sentiment into a reproducible process. It compiles data from web, social listening, and discussion forums to support strategic decision-making.

What is the best way to track competitor leadership and market positioning automatically?▼

Track competitor leadership and market positioning by analyzing founders and C-suite presence across LinkedIn. It monitors hiring, growth, and strategic positioning to inform your strategy and produce up-to-date profiles.

How do I format competitive analysis data into a Markdown report?▼

Format competitive analysis data into a Markdown report by piping JSON output through a formatting script. Populate findings using the workflow, then save the final Markdown and JSON outputs for distribution.

Does this competitive analysis workflow require external dependencies?▼

This competitive analysis workflow operates using internal scripts and requires no external dependencies. It combines social listening, GitHub activity analysis, and sentiment insights into a standalone, reproducible process.

When should I use automated social listening for market positioning analysis?▼

Use automated social listening for market positioning analysis when you need real-time signals from discussion forums and social channels. It surfaces community sentiment and tracks strategic positioning to inform leadership decisions.

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