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    "article": "\n# mvanhorn/last30days-skill\n\n## Metadata\n- **Full name:** mvanhorn/last30days-skill\n- **Description:** AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary\n- **Stars:** 20,980\n- **Last pushed:** 2026-04-11\n- **License:** MIT\n- **Topics:** ai-skill, claude-code, deep-research, reddit, research, social-media, twitter, youtube, web-search, polymarket, hackernews\n\n## Archetype\n**utility-with-skill** - Single-purpose research aggregation skill with a Python backend. Searches 13+ platforms in parallel, scores results by engagement metrics (upvotes, likes, real money), and synthesizes into grounded summaries.\n\n## Structure\n```\nSKILL.md                  # Runtime skill spec (source of truth)\nskills/last30days/        # Skill definition\nagents/                   # Agent configurations\nhooks/                    # Hook definitions\nscripts/                  # Python research engine\nvendor/                   # Vendored dependencies\ntests/                    # Test suite\nfixtures/                 # Test fixtures\n```\n\n## Extractable Value\n\n### Processes (specializations/)\n\n1. **multi-source-research-synthesis** - The v3 research methodology is interesting: intelligent pre-research (entity resolution before search), parallel multi-source search, engagement-weighted scoring (upvotes > editorial SEO), cross-source cluster merging (dedup same story across platforms), synthesis with source citations. This is a research methodology pattern, not just a tool. **Placement: specializations/shared/multi-source-research**\n\n### Plugin Ideas\n\n1. **last30days-integration** - A babysitter marketplace plugin that wraps /last30days as a research task. The pre-meeting research, competitive analysis, and trend monitoring use cases map well to babysitter orchestration tasks. The plugin would provide a `research` task type that delegates to the last30days engine. However, this is borderline since it requires the user to have last30days installed separately.\n\n### SKIP\n\n- The actual platform-specific API integrations (Reddit JSON, X API, YouTube transcripts) - tool-specific implementation details\n- ELI5 mode - presentation concern, not methodology\n\n## Processes\n\n### 1. Multi-Source Research Synthesis\n- **Source**: V3 research methodology with intelligent pre-research and engagement-weighted scoring\n- **Placement**: `specializations/shared/multi-source-research-synthesis.js`\n- **Description**: Research methodology pattern: entity resolution before search → parallel multi-source search → engagement-weighted scoring (upvotes > editorial SEO) → cross-source cluster merging → synthesis with source citations.\n\n## Plugin Ideas\n\n- **Last30Days Research Integration**: Babysitter marketplace plugin that wraps /last30days as a research task for pre-meeting research, competitive analysis, and trend monitoring.\n\n## Library Mapping\n\n| Extractable Process | Library Status | Action | Existing Path | Target Placement |\n|-------------------|----------------|--------|---------------|------------------|\n| Multi-Source Research Synthesis | NEW | Research methodology: entity resolution → parallel search → engagement scoring → cluster merging → citation synthesis | - | specializations/shared/multi-source-research-synthesis.js |\n| Engagement-Weighted Content Scoring | NEW | Content ranking algorithm using engagement metrics (upvotes, likes, real money) over editorial SEO | - | specializations/shared/engagement-weighted-content-scoring.js |\n| Cross-Source Content Clustering | NEW | Deduplication and clustering of same stories across multiple platforms and sources | - | specializations/shared/cross-source-content-clustering.js |\n\n## Plugin Marketplace Mapping\n\n| Plugin Idea | Marketplace Status | Action | Existing Plugin | Target Placement |\n|-------------|-------------------|--------|-----------------|------------------|\n| Last30Days Research Integration | NEW | Multi-platform research aggregation with engagement scoring and synthesis | - | plugins/a5c/marketplace/blueprints/last30days-research-integration/ |\n\n## Priority Assessment\n**LOW-MEDIUM** - The multi-source research synthesis methodology is conceptually interesting but the actual value is tightly coupled to the platform integrations (API keys, browser sessions). The methodology pattern (entity-resolve -> parallel-search -> engagement-score -> cluster-merge -> synthesize) could inform a generic research process, but it's thin without the platform access. Better as inspiration than a direct port.\n",
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