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claude-code

Awesome-omni-skill 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.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ai-agents/last30days-michael-bodo" ~/.claude/skills/diegosouzapw-awesome-omni-skill-last30days-604992 && rm -rf "$T"
manifest: skills/ai-agents/last30days-michael-bodo/SKILL.md
source content

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 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
    • GENERAL - anything else → User wants broad understanding of the topic

Common patterns:

  • [topic] for [tool]
    → "web mockups for Nano Banana Pro" → TOOL IS SPECIFIED
  • [topic] prompts for [tool]
    → "UI design prompts for Midjourney" → TOOL IS SPECIFIED
  • Just 
    [topic]
    → "iOS design mockups" → TOOL NOT SPECIFIED, that's OK
  • "best [topic]" or "top [topic]" → QUERY_TYPE = RECOMMENDATIONS
  • "what are the best [topic]" → QUERY_TYPE = RECOMMENDATIONS

IMPORTANT: Do NOT ask about target tool before research.

  • If tool is specified in the query, use it
  • If tool is NOT specified, run research first, then ask AFTER showing results

Store these variables:

  • TOPIC = [extracted topic]
  • TARGET_TOOL = [extracted tool, or "unknown" if not specified]
  • QUERY_TYPE = [RECOMMENDATIONS | NEWS | HOW-TO | GENERAL]

Setup Check

The skill works in three modes based on available API keys:

  1. Full Mode (both keys): Reddit + X + WebSearch - best results with engagement metrics
  2. Partial Mode (one key): Reddit-only or X-only + WebSearch
  3. Web-Only Mode (no keys): WebSearch only - still useful, but no engagement metrics

API keys are OPTIONAL. The skill will work without them using WebSearch fallback.

🧠 Knowledge Modules (Fractal Skills)

1. First-Time Setup (Optional but Recommended)

2. If QUERY_TYPE = RECOMMENDATIONS

3. For all QUERY_TYPEs

4. CRITICAL: Match the FORMAT the research recommends

5. Output Format:

6. Quality Checklist: