last30days
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
Profile →npx skills add sickn33/agentic-awesome-skills --skill last30days --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# last30days: Research Any Topic from the Last 30 Days Research ANY topic across Reddit, X, and the web. Surface what people are actually discussing, recommending, and debating right now. Use cases: - **Prompting**: "photorealistic people in Nano Banana Pro", "Midjourney prompts", "ChatGPT image generation" → learn techniques, get copy-paste prompts - **Recommendations**: "best Claude Code skills", "top AI tools" → get a LIST of specific things people mention - **News**: "what's happening with OpenAI", "latest AI announcements" → current events and updates - **General**: any topic you're curious about → understand what the community is saying ## 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
- CRITICAL: Parse User Intent
- Setup Check
- First-Time Setup (Optional but Recommended)
- Research Execution
- Judge Agent: Synthesize All Sources
- FIRST: Internalize the Research
- If QUERYTYPE = RECOMMENDATIONS
- For all QUERYTYPEs
- THEN: Show Summary + Invite Vision
- WAIT FOR USER'S VISION
- WHEN USER SHARES THEIR VISION: Write ONE Perfect Prompt
- CRITICAL: Match the FORMAT the research recommends
- Output Format:
- Quality Checklist:
mkdir -p ~/.config/last30days cat > ~/.config/last30days/.env << 'ENVEOF' chmod 600 ~/.config/last30days/.env echo "Config created at ~/.config/last30days/.env" echo "Edit to add your API keys for enhanced research." trap 'rm -f "$TOPIC_FILE"' EXIT cat <<'LAST30DAYS_TOPIC' > "$TOPIC_FILE" python3 ~/.claude/skills/last30days/scripts/last30days.py "$(cat "$TOPIC_FILE")" --emit=compact 2>&1
What does the last30days skill do?
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill last30days --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.