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from agi-super-team45
Research any topic from the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket and the web and produce copy-paste-ready prompts and a concise synth
Last 30 Days Research gathers and synthesizes real-time discussion and signals about a user-specified topic from Reddit, X, YouTube, Hacker News, Polymarket and the wider web. It structures the work: parse user intent (topic, target tool, query type), run cross-platform searches, weight engagement signals, and produce a concise expert summary plus statistics and invitation examples. The skill’s outputs are designed to be directly actionable — e.g., ready-to-use prompts, ranked recommendations, or a news-style briefing.
Use this skill when you need an up-to-date, cross-platform pulse on what people are saying about a topic in the last 30 days: product launches, trending prompts, competitive comparisons, or emergent news. It’s ideal for prompt engineering (produce paste-ready prompts), market scouting, or quick situational awareness before making decisions.
This skill is geared to agents with Bash and Python tooling available and that can parse structured outputs (Claude Code, local Claude plugins, Codex-style agents).
Research skill that queries Reddit, X, YouTube, Hacker News, Polymarket and web for a topic from the last 30 days. 7 scripts: main engine (last30days.py), SQLite store, watchlist manager, briefing generator, sync deployer, and two evaluation/formatting utilities. Scripts failed to run in isolation due to local module imports (lib/, store) not on PYTHONPATH — they expect to be run from the skill root. Only evaluate-synthesis.py ran successfully (no local deps). No security red flags: API keys read from env/config, no curl|bash, no hardcoded secrets. subprocess.run used for yt-dlp (safe, controlled). sync.sh copies files locally (no remote git pull).
lib (local module - needs scripts/lib/ on PYTHONPATH)store (local module)Well-structured research skill with clear SKILL.md instructions. Main scripts are modular (lib/ directory with separate modules per source). Scripts fail when extracted to temp dir because they import local modules (lib, store) — this is expected and not a code quality issue per se, just a packaging consideration. sync.sh uses rsync to overwrite local skill dirs without prompting — minor concern. evaluate-synthesis.py is a standalone utility for internal QA, not core functionality. The skill is user-invocable only (disable-model-invocation: true) which is good for security.
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