Individual skill

last30days

Research a topic from the last 30 days. Also triggered by 'last30'. Sources: Reddit, X, YouTube, web. Become an expert and write copy-paste-ready prompts.

skills/last30days/SKILL.md

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Last checked: Nov 5, 2026

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Repository stars (not skill ratings): 271
Repository last updated: Mar 26, 2026
License: MIT

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CHANGELOG.mddoc · 3,651 bytes
README.mddoc · 54,128 bytes
SKILL.mdcore · 20,078 bytes
SKILL.mdcore · 20,078 bytes
SKILL.mdcore · 20,078 bytes
SKILL.mdcore · 20,078 bytes
SKILL.mdcore · 20,078 bytes
SPEC.mddoc · 3,140 bytes
agents/openai.yamlasset · 448 bytes
fixtures/models_openai_sample.jsonasset · 745 bytes
fixtures/models_xai_sample.jsonasset · 385 bytes
fixtures/openai_sample.jsonasset · 2,303 bytes
fixtures/reddit_thread_sample.jsonasset · 3,934 bytes
fixtures/xai_sample.jsonasset · 2,577 bytes
scripts/briefing.pyruns · 8,178 bytes
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Read excerpt


# last30days v2.1: Research Any Topic from the Last 30 Days

Research ANY topic across Reddit, X, YouTube, and the web. Surface what people are actually discussing, recommending, and debating right now.

## CRITICAL: Parse User Intent

Before doing anything, parse the user's input for:

1. **TOPIC**: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")
2. **TARGET TOOL** (if specified): Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Midjourney")
3. **QUERY TYPE**: What kind of research they want:
   - **PROMPTING** - "X prompts", "prompting for X", "X best practices" → User wants to learn techniques and get copy-paste prompts
   - **RECOMMENDATIONS** - "best X", "top X", "what X should I use", "recommended X" → User wants a LIST of specific things
   - **NEWS** - "what's happening with X", "X news", "latest on X" → User wants current events/updates