- Added two-stage LLM pipeline (Sonnet + Opus) for intelligent content analysis - Created comprehensive blog analysis module structure with 50+ technical categories - Implemented cost-optimized tiered processing with budget controls ($3-5 limits) - Built semantic understanding system replacing keyword matching (525% topic improvement) - Added strategic synthesis capabilities for content gap identification - Integrated batch processing with fallback mechanisms and dry-run analysis - Enhanced topic diversity from 8 to 50+ categories with brand tracking - Created opportunity matrix generator and content calendar recommendations - Processed 3,958 competitive intelligence items with intelligent tiering - Documented complete implementation plan and usage commands 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
29 lines
718 B
TOML
29 lines
718 B
TOML
[project]
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name = "hvac-kia-content"
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version = "0.1.0"
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description = "Add your description here"
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requires-python = ">=3.12"
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dependencies = [
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"anthropic>=0.64.0",
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"feedparser>=6.0.11",
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"google-api-python-client>=2.179.0",
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"instaloader>=4.14.2",
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"jinja2>=3.1.6",
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"markitdown>=0.1.2",
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"playwright>=1.54.0",
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"playwright-stealth>=2.0.0",
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"psutil>=7.0.0",
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"pytest>=8.4.1",
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"pytest-asyncio>=1.1.0",
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"pytest-cov>=6.2.1",
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"pytest-mock>=3.14.1",
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"python-dotenv>=1.1.1",
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"pytz>=2025.2",
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"requests>=2.32.4",
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"schedule>=1.2.2",
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"scrapling>=0.2.99",
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"tenacity>=9.1.2",
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"tiktokapi>=7.1.0",
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"youtube-transcript-api>=1.2.2",
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"yt-dlp>=2025.8.11",
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]
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