lastXdays — Time-windowed Research Skill

What it does

lastXdays performs focused research across Reddit, X (Twitter), and the wider web for a user-specified recent time window (1–365 days). It collects posts and links, measures engagement metrics, synthesizes findings, and emits prompts and summaries tailored to downstream tools.

When to use it

Use lastXdays when you need a rapid pulse on recent discussions or trends (e.g., last 3 days of breaking news, last 7 days of tool chatter, or last 30 days for market signals). It's useful for content ideation, competitive monitoring, trend spotting, and prompt generation.

What's included

• Scripts: references a research script (e.g., scripts/lastXdays.py) in examples; repo snapshot had has_scripts=false but the README shows concrete execution patterns.
• References: none detected in the fetch snapshot (has_references=false)
• Instructions: The skill documents CLI usage (lastXdays <days> "topic"), option flags (--quick, --deep, --emit=MODE, --sources=MODE) and expected outputs (compact/json/md/context/path). It explains defaults, limits, and how results are synthesized with engagement metrics.

Compatible agents

Built for Claude Code / agent frameworks that can run web searches and external scripts, and for agents configured with WebSearch/Bash/Read/Write tool access.