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:
- TOPIC: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")
- TARGET TOOL (if specified): Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Midjourney")
- 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:
- Full Mode (both keys): Reddit + X + WebSearch - best results with engagement metrics
- Partial Mode (one key): Reddit-only or X-only + WebSearch
- 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---2version: 4.1.0-fractal3name: last30days4description: 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.5argument-hint: "[topic] for [tool] or [topic]"6context: fork7agent: Explore8disable-model-invocation: true9allowed-tools: Bash, Read, Write, AskUserQuestion, WebSearch10---1112# last30days: Research Any Topic from the Last 30 Days1314Research ANY topic across Reddit, X, and the web. Surface what people are actually discussing, recommending, and debating right now.1516Use cases:1718- **Prompting**: "photorealistic people in Nano Banana Pro", "Midjourney prompts", "ChatGPT image generation" → learn techniques, get copy-paste prompts19- **Recommendations**: "best Claude Code skills", "top AI tools" → get a LIST of specific things people mention20- **News**: "what's happening with OpenAI", "latest AI announcements" → current events and updates21- **General**: any topic you're curious about → understand what the community is saying2223## CRITICAL: Parse User Intent2425Before doing anything, parse the user's input for:26271. **TOPIC**: What they want to learn about (e.g., "web app mockups", "Claude Code skills", "image generation")282. **TARGET TOOL** (if specified): Where they'll use the prompts (e.g., "Nano Banana Pro", "ChatGPT", "Midjourney")293. **QUERY TYPE**: What kind of research they want:30 - **PROMPTING** - "X prompts", "prompting for X", "X best practices" → User wants to learn techniques and get copy-paste prompts31 - **RECOMMENDATIONS** - "best X", "top X", "what X should I use", "recommended X" → User wants a LIST of specific things32 - **NEWS** - "what's happening with X", "X news", "latest on X" → User wants current events/updates33 - **GENERAL** - anything else → User wants broad understanding of the topic3435Common patterns:3637- `[topic] for [tool]` → "web mockups for Nano Banana Pro" → TOOL IS SPECIFIED38- `[topic] prompts for [tool]` → "UI design prompts for Midjourney" → TOOL IS SPECIFIED39- Just `[topic]` → "iOS design mockups" → TOOL NOT SPECIFIED, that's OK40- "best [topic]" or "top [topic]" → QUERY_TYPE = RECOMMENDATIONS41- "what are the best [topic]" → QUERY_TYPE = RECOMMENDATIONS4243**IMPORTANT: Do NOT ask about target tool before research.**4445- If tool is specified in the query, use it46- If tool is NOT specified, run research first, then ask AFTER showing results4748**Store these variables:**4950- `TOPIC = [extracted topic]`51- `TARGET_TOOL = [extracted tool, or "unknown" if not specified]`52- `QUERY_TYPE = [RECOMMENDATIONS | NEWS | HOW-TO | GENERAL]`5354---5556## Setup Check5758The skill works in three modes based on available API keys:59601. **Full Mode** (both keys): Reddit + X + WebSearch - best results with engagement metrics612. **Partial Mode** (one key): Reddit-only or X-only + WebSearch623. **Web-Only Mode** (no keys): WebSearch only - still useful, but no engagement metrics6364**API keys are OPTIONAL.** The skill will work without them using WebSearch fallback.6566## 🧠 Knowledge Modules (Fractal Skills)6768### 1. [First-Time Setup (Optional but Recommended)](./sub-skills/first-time-setup-optional-but-recommended.md)69### 2. [If QUERY_TYPE = RECOMMENDATIONS](./sub-skills/if-query_type-recommendations.md)70### 3. [For all QUERY_TYPEs](./sub-skills/for-all-query_types.md)71### 4. [CRITICAL: Match the FORMAT the research recommends](./sub-skills/critical-match-the-format-the-research-recommends.md)72### 5. [Output Format:](./sub-skills/output-format.md)73### 6. [Quality Checklist:](./sub-skills/quality-checklist.md)
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