last30days-skill/SKILL.md

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name: last30days description: Research a topic from the last 30 days on Reddit + X, become an expert, and write copy-paste-ready prompts for the user's target tool. argument-hint: "[topic] for [tool]" or "[topic]" context: fork agent: Explore disable-model-invocation: true allowed-tools: Bash, Read, Write, AskUserQuestion

last30days: Become Expert → Write Prompts

Research a topic across Reddit and X, internalize the best practices, then write copy-paste-ready prompts the user can immediately use with their target tool.

CRITICAL: Parse User Intent

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

1. TOPIC: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")
2. TARGET TOOL: Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Claude", "Midjourney")

Common patterns:

• [topic] for [tool] → "web mockups for Nano Banana Pro"
• [topic] prompts for [tool] → "UI design prompts for Midjourney"
• [tool] [topic] → "Nano Banana Pro dashboard mockups"
• Just [topic] → Ask follow-up

If TARGET TOOL is unclear, use AskUserQuestion:

What tool will you use these prompts with?

Options:
1. Nano Banana Pro (image generation)
2. ChatGPT / Claude (text/code)
3. Midjourney / DALL-E (image generation)
4. Other (tell me)

Store these values mentally - you'll need them for the entire conversation:

• TOPIC = [extracted topic]
• TARGET_TOOL = [extracted tool]

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Setup Check

Verify API key configuration exists:

if [ ! -f ~/.config/last30days/.env ]; then
  echo "SETUP_NEEDED"
else
  echo "CONFIGURED"
fi

If SETUP_NEEDED

Run NUX flow to configure API keys. Use AskUserQuestion to collect:

1. OpenAI API Key (optional but recommended for Reddit research)
2. xAI API Key (optional but recommended for X research)

Then create the config:

mkdir -p ~/.config/last30days
cat > ~/.config/last30days/.env << 'ENVEOF'
# last30days API Configuration
# At least one key is required

OPENAI_API_KEY=
XAI_API_KEY=
ENVEOF

chmod 600 ~/.config/last30days/.env
echo "Config created at ~/.config/last30days/.env"
echo "Please edit it to add your API keys, then run the skill again."

STOP HERE if setup was needed.

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Research Execution

Run the research orchestrator with the TOPIC:

python3 ~/.claude/skills/last30days/scripts/last30days.py "$ARGUMENTS" --emit=compact 2>&1

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FIRST: Show the Work (Stats Summary)

Before anything else, aggregate the metrics from the research and display an impressive summary. Parse the output above and calculate:

• Count of Reddit threads
• Sum of all Reddit upvotes (pts)
• Sum of all Reddit comments (cmt)
• Count of X posts
• Sum of all X likes
• Sum of all X reposts (rt)
• List unique subreddits
• List unique X authors

Display it in this format:

📊 Research Complete

Analyzed {total_sources} sources from the last 30 days
├─ Reddit: {n} threads │ {sum} upvotes │ {sum} comments
├─ X: {n} posts │ {sum} likes │ {sum} reposts
└─ Top voices: r/{sub1}, r/{sub2}, @{handle1}, @{handle2}

I'm now an expert in {TOPIC}. Share your vision for what you want to create and I'll write a thoughtful prompt you can copy-paste directly into {TARGET_TOOL}.

Use real numbers from the research output. This shows the user the skill actually did work.

IMPORTANT: After displaying this summary, WAIT for the user to respond with what they want to create. Don't immediately dump generic prompts. Let them tell you their specific vision first.

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THEN: Internalize the Research (Silently)

Read the research output. You are now an expert in this topic. Mentally note:

• The top 3-5 patterns/techniques that appeared across multiple sources
• Specific keywords, structures, or approaches that work well
• Common pitfalls to avoid

Do NOT dump this back at the user. Just absorb it.

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WAIT FOR USER'S VISION

After showing the stats summary with your invitation, STOP and wait for the user to tell you what they want to create.

When they respond with their vision (e.g., "I want a landing page mockup for my SaaS app"), THEN write a single, thoughtful, tailored prompt.

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WHEN USER SHARES THEIR VISION: Write ONE Perfect Prompt

Based on what they want to create, write a single, highly-tailored prompt using your research expertise.

Format:

Here's your prompt for {TARGET_TOOL}:

---

[The actual prompt - ready to copy-paste, incorporating specific patterns/keywords from your research that match their use case]

---

This uses [brief 1-line explanation of what research insight you applied].

Quality Checklist:

• Directly addresses what the user said they want to create
• Uses specific patterns/keywords discovered in research
• Ready to paste with zero edits (or minimal [PLACEHOLDERS] clearly marked)
• Appropriate length and style for TARGET_TOOL

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IF USER ASKS FOR MORE OPTIONS

Only if they ask for alternatives or more prompts, provide 2-3 variations. Don't dump a prompt pack unless requested.

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AFTER EACH PROMPT: Stay in Expert Mode

After delivering a prompt, offer to write more:

Want another prompt? Just tell me what you're creating next.

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CONTEXT MEMORY

For the rest of this conversation, remember:

• TOPIC: {topic}
• TARGET_TOOL: {tool}
• KEY PATTERNS: {list the top 3-5 patterns you learned}

When the user asks for another prompt later, you don't need to re-research. Apply what you learned.

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Output Summary Footer (After Each Prompt)

After delivering a prompt, end with:

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📚 Expert in: {TOPIC} for {TARGET_TOOL}
📊 Based on: {n} Reddit threads ({sum} upvotes) + {n} X posts ({sum} likes)

Want another prompt? Just tell me what you're creating next.