Matt Van Horn
5f054380c5
Pass `--competitors` on a single-entity topic and the engine auto-discovers 2-6 peer entities via web search, runs the full pipeline on each in parallel, and returns one N-way comparison reusing the existing 9-axis Head-to-Head scaffold. `last30days OpenAI --competitors` resolves to Anthropic + xAI + Google Gemini; `last30days Kanye West --competitors` resolves to Drake + Kendrick Lamar + one more peer. - New CLI flags: --competitors, --competitors=N, --competitors-list - New scripts/lib/competitors.py — mirrors resolve.auto_resolve pattern (web search + deterministic text extraction, no internal LLM) - New scripts/lib/fanout.py — ThreadPoolExecutor orchestrator; per-entity failures degrade gracefully as long as >=2 entities survive - Multi-report render in scripts/lib/render.py reuses the comparison scaffold for the synthesis table - LAW 7-style stderr when no backend and no list, pointing the hosting reasoning model at --competitors-list - 38 new tests across CLI parsing, discovery, fanout, and rendering Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com> Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
16 lines
728 B
JSON
16 lines
728 B
JSON
{
|
|
"name": "last30days",
|
|
"version": "3.0.11",
|
|
"description": "Research any topic across Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and 5+ more sources. AI agent scores by upvotes, likes, and real money - not editors.",
|
|
"author": {
|
|
"name": "Matt Van Horn",
|
|
"email": "mvanhorn@gmail.com",
|
|
"url": "https://github.com/mvanhorn"
|
|
},
|
|
"homepage": "https://github.com/mvanhorn/last30days-skill",
|
|
"repository": "https://github.com/mvanhorn/last30days-skill",
|
|
"license": "MIT",
|
|
"keywords": ["research", "reddit", "twitter", "youtube", "tiktok", "instagram", "trends", "prompts", "polymarket", "github", "perplexity", "threads", "pinterest", "eli5", "hacker-news"],
|
|
"hooks": {}
|
|
}
|