Claude Code Skills for automating market intelligence and competitive analysis workflows.
Automates post-earnings competitive intelligence for memory semiconductor companies.
Features:
- Financial performance analysis with historical trends
- Strategic insights from analyst Q&A with signal detection
- Competitive implications framework
- Python automation scripts
Time Saved: 2-3 hours → 30 minutes per analysis
See skills/earnings-analysis-skill/ for details.
Generates comprehensive competitor battle cards for memory semiconductor companies.
Features:
- Company snapshot with financials and leadership
- Product portfolio analysis (DRAM, NAND, HBM)
- Competitive positioning matrix
- Strengths/weaknesses assessment
- Sales messaging and objection handling
- Win/loss patterns and strategic recommendations
- Python automation scripts
Time Saved: 4-6 hours → 1 hour per battle card
See skills/competitor-battle-card-skill/ for details.
# Clone the repo
git clone https://github.com/raym26/market-intelligence-skills.git
cd market-intelligence-skills
# Install earnings-analysis-skill
cp -r skills/earnings-analysis-skill ~/.claude/skills/earnings-analysis-memory-semiconductors
pip install -r skills/earnings-analysis-skill/requirements.txt --break-system-packages
# Install competitor-battle-card-skill
cp -r skills/competitor-battle-card-skill ~/.claude/skills/competitor-battle-card-memory-semiconductors
pip install -r skills/competitor-battle-card-skill/requirements.txt --break-system-packagesEarnings Analysis:
claude
"Analyze Micron Q2 FY25 earnings"
Battle Cards:
claude
"Create a battle card for Micron from SK Hynix's perspective"
- Claude Code installed (download here)
- Claude Pro, Team, or Enterprise subscription (Skills not available on free tier)
- Python 3.8+ (for automation scripts)
These skills include Python scripts for automation. Always review code before running:
- earnings-analysis-skill:
scrape_transcript.py,extract_financials.py, etc. - competitor-battle-card-skill:
scrape_company_data.py,extract_financials.py, etc.
Building toward autonomous market intelligence - starting with proven methodologies, scaling to full "hireable" MI analyst capability.