// Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research.
Remove AI-generated jargon and restore human voice to text. Use when: content sounds robotic, AI detection scores are high, writing feels 'off', text needs to sound more human before publishing. Triggers: 'make this sound human', 'de-AI this', 'remove AI patterns', 'sounds too robotic'. NOT for: fact-checking, fixing bad arguments, or rewriting poorly structured content.
Write B2B newsletters that get opened, read, and drive pipeline. Use when: creating a newsletter issue, planning newsletter strategy, improving open rates. Triggers: 'write a newsletter', 'newsletter draft', 'improve my newsletter', 'email newsletter', 'newsletter strategy'. NOT for: cold email sequences (use cold-outreach), drip campaigns (use email-sequence), or transactional emails.
Generate an energy-optimized, time-blocked daily plan. Use when: planning your day, feeling overwhelmed by tasks, need to prioritize. Triggers: 'plan my day', 'what should I focus on today', 'daily schedule', 'time blocking'. NOT for: project planning (too long-term), calendar management (use calendar tools), or habit tracking.
Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.
| name | last30days |
| description | Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research. |
| version | 2.0.0 |
| author | theflohart |
| tags | ["research","trends","reddit","twitter","competitive-intel","content-research"] |
Real-time intelligence engine: Find what's working RIGHT NOW, not last quarter.
Scans Reddit, X, and web for the last 30 days, identifies patterns, extracts community insights, and delivers actionable intelligence with copy-paste-ready prompts.
Problem with "research [topic]": ChatGPT's training data is months/years old. It gives you general knowledge, not current signals.
Problem with Perplexity: Searches web but misses Reddit threads and X conversations where real practitioners share what's actually working.
This skill provides:
You can replicate this by manually searching Reddit, X, and Brave Search with date filters, reading 30+ sources, identifying patterns, and synthesizing insights. Takes 2+ hours. This skill does it in 7 minutes.
Perfect for:
Not ideal for:
This skill orchestrates multiple tools. Verify you have:
# 1. Brave Search API (for web_search)
# Already configured in OpenClaw by default
# 2. Bird CLI (for X/Twitter search)
source ~/.openclaw/credentials/bird.env && bird search "test" -n 1
# If this fails, install bird CLI first
# 3. Reddit Insights (optional but recommended)
# If you have reddit-insights MCP server configured, skill will use it
# Otherwise falls back to Reddit web search via Brave
Quick verification:
/last30days --check-setup
Should return:
web_search: "[topic] 2026" + freshness=pm
web_search: "[topic] strategies trends current"
web_search: "[topic] what's working"
Purpose: Get recent articles, blog posts, tools
If reddit-insights MCP configured:
reddit_search: "[topic] discussions techniques"
reddit_get_trends: "[subreddit]"
Otherwise:
web_search: "[topic] site:reddit.com" + freshness=pm
web_search: "[topic] reddit.com/r/[relevant_sub]"
Purpose: Find detailed discussions, practitioner insights, "what's actually working" threads
bird search "[topic]" -n 10
bird search "[topic] 2026" -n 10
bird search "[topic] best practices" -n 10
Purpose: Real-time signals, expert takes, trending threads
For the 2-3 most relevant links:
web_fetch: [article URL]
Purpose: Extract specific tactics, quotes, data points
# 🔍 /last30days: [TOPIC]
*Research compiled: [DATE]*
*Sources analyzed: [NUMBER] (Reddit threads, X posts, articles)*
*Time period: Last 30 days*
---
## 🔥 Top Patterns Discovered
### 1. [Pattern Name]
**Mentioned: X times across [platforms]**
[Description of the pattern + why it matters]
**Key evidence:**
- Reddit (r/[sub]): "[Quote from highly upvoted comment]"
- X: "[Quote from popular thread]"
- Article ([Source]): "[Key insight]"
---
### 2. [Pattern Name]
[Continue same format...]
---
## 📊 Reddit Sentiment Breakdown
| Subreddit | Discussion Volume | Sentiment | Key Insight |
|-----------|-------------------|-----------|-------------|
| r/[sub] | [# threads] | 🟢 Positive / 🟡 Mixed / 🔴 Skeptical | [One-liner takeaway] |
**Top upvoted insights:**
1. "[Quote]" — u/[username] (+234 upvotes)
2. "[Quote]" — u/[username] (+189 upvotes)
---
## 🐦 X/Twitter Signal Analysis
**Trending themes:**
- [Theme 1] - [# mentions]
- [Theme 2] - [# mentions]
**Notable voices:**
- [@handle]: "[Key take]"
- [@handle]: "[Key take]"
**Engagement patterns:**
[What types of posts are getting traction?]
---
## 📈 Web Article Highlights
**Most shared articles:**
1. "[Article Title]" — [Source] — [Key insight]
2. "[Article Title]" — [Source] — [Key insight]
**Common recommendations across articles:**
- [Tactic 1]
- [Tactic 2]
- [Tactic 3]
---
## 🎯 Copy-Paste Prompt
**Based on current community best practices:**
[Ready-to-use prompt incorporating the patterns discovered]
Context: [Relevant context from research] Task: [Clear task] Style: [Tone/voice based on research] Constraints: [Any patterns to avoid based on research]
**Why this works:** [Brief explanation based on research findings]
---
## 💡 Action Ideas
**Immediate opportunities based on this research:**
1. **[Opportunity 1]**
- What: [Specific action]
- Why: [Evidence from research]
- How: [Implementation steps]
2. **[Opportunity 2]**
[Continue format...]
---
## 📌 Source List
**Reddit Threads:**
- [Thread title] - r/[sub] - [URL]
**X Threads:**
- [@handle] - [Tweet] - [URL]
**Articles:**
- [Title] - [Source] - [URL]
---
*Research complete. [X] sources analyzed in [Y] minutes.*
Query: /last30days Claude prompting best practices
Abbreviated Output:
# 🔍 /last30days: Claude Prompting Best Practices
## Top Patterns Discovered
### 1. XML Tags for Structure (12 mentions)
Reddit and X both emphasize using XML tags for complex prompts:
- Reddit: "XML tags changed my Claude workflow. <context> and <task> make responses 3× more accurate."
- X: "@anthropicAI's own docs now recommend XML. It's the meta."
### 2. Examples Over Instructions (9 mentions)
"Show, don't tell" — Provide 2-3 examples instead of long instructions.
### 3. Chain of Thought Explicit (7 mentions)
Add "Think step-by-step before answering" dramatically improves reasoning.
## Copy-Paste Prompt
<context>
[Your context here]
</context>
<task>
[Your task here]
</task>
<examples>
Example 1: [Show desired output style]
Example 2: [Show edge case handling]
</examples>
Think step-by-step before providing your final answer.
Query: /last30days Notion vs Obsidian 2026
Abbreviated Output:
## Top Patterns
### 1. "Notion for Teams, Obsidian for Individuals" (18 mentions)
Strong consensus: Notion wins for collaboration, Obsidian wins for personal PKM.
### 2. Performance Complaints About Notion (11 mentions)
"Notion is slow with 1000+ pages" — recurring pain point
## Reddit Sentiment
| Subreddit | Sentiment | Key Insight |
|-----------|-----------|-------------|
| r/Notion | 🟡 Mixed | Love features, frustrated by speed |
| r/ObsidianMD | 🟢 Positive | Passionate community, local-first advocates |
## Action Ideas
**If building a PKM tool:**
1. Positioning: "Notion speed + Obsidian power" opportunity
2. Target: Teams frustrated by Notion slowness
3. Messaging: "Collaboration without the lag"
Query: /last30days LinkedIn content strategies working 2026
Abbreviated Output:
## Top Patterns
### 1. "Teach in Public" Posts Dominate (22 mentions)
Tactical, educational content outperforms thought leadership by 4-5×.
### 2. Carousels Are Fading (14 mentions)
"LinkedIn is deprioritizing carousels" — multiple reports of engagement drops.
### 3. Comment Engagement = Reach (16 mentions)
"Spend 30 min/day commenting on others' posts. Doubled my reach."
## Action Ideas
1. **Shift to educational threads**
- Format: Problem → Solution (step-by-step) → Result
- Evidence: Posts using this format getting 3-5× more impressions
2. **Abandon carousel strategy**
- Data: Engagement down 40-60% since December
3. **Allocate 30 min/day to comments**
- Tactic: Comment on posts from your ICP 10 min after posting (algorithm boost)
User: B2B SaaS marketer researching content trends quarterly
Before using skill:
After implementing /last30days:
Impact after 3 months:
Quote: "I used to spend half a day researching trends, now it's 7 minutes. The pattern detection alone is worth it—I'd miss things reading manually."
/last30days [topic]
/last30days [topic] --deep
/last30days [topic] --reddit-only
/last30days [topic] --quick
| Goal | Query Example | Output Value |
|---|---|---|
| Content ideas | /last30days AI productivity tools | Topics getting engagement now |
| Competitive research | /last30days Superhuman vs Spark email | User sentiment, pain points |
| Positioning | /last30days project management frustrations | Language customers use |
| Product validation | /last30days AI coding assistant pain points | Real problems to solve |
| Marketing tactics | /last30days cold email strategies 2026 | What's working in market |
A good /last30days report has:
This skill does NOT:
Best for: Fast, directional intelligence. Not dissertation-level research.
# Copy skill to your skills directory
cp -r last30days $HOME/.openclaw/skills/
# Verify dependencies
/last30days --check-setup
# First run
/last30days "your topic here"
Issues or missing sources? Provide:
Built to replace 2-hour research sessions with 7-minute intelligence reports.
Know what's working RIGHT NOW. Not last quarter. Not last year. Today.