Use Gemini CLI via tmux. It can browse, summarize, and answer complex questions about Reddit content.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionreddit-fetchExecute the skills CLI command in your project's root directory to begin installation:
Fetches reddit-fetch from ykdojo/claude-code-tips and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate reddit-fetch. Access via /reddit-fetch in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Use Gemini CLI via tmux. It can browse, summarize, and answer complex questions about Reddit content.
Pick a unique session name (e.g., gemini_abc123) and use it consistently throughout.
tmux new-session -d -s <session_name> -x 200 -y 50
tmux send-keys -t <session_name> 'gemini -m gemini-3-pro-preview' Enter
sleep 3 # wait for Gemini CLI to load
tmux send-keys -t <session_name> 'Your Reddit query here' Enter
sleep 30 # wait for response (adjust as needed, up to 90s for complex searches)
tmux capture-pane -t <session_name> -p -S -500 # capture output
If the captured output shows an API error (e.g., quota exceeded, model unavailable), kill the session and retry without the -m flag (just gemini with no model argument). This falls back to the default model.
Look for YOUR QUERY TEXT specifically. Is it inside or outside the bordered box?
Enter NOT sent - your query is INSIDE the box:
╭─────────────────────────────────────╮
│ > Your actual query text here │
╰─────────────────────────────────────╯
Enter WAS sent - your query is OUTSIDE the box, followed by activity:
> Your actual query text here
⠋ Our hamsters are working... (processing)
╭────────────────────────────────────────────╮
│ > Type your message or @path/to/file │
╰────────────────────────────────────────────╯
Note: The empty prompt Type your message or @path/to/file always appears in the box - that's normal. What matters is whether YOUR query text is inside or outside the box.
If your query is inside the box, run tmux send-keys -t <session_name> Enter to submit.
tmux kill-session -t <session_name>
If retrying without -m also fails, fall back to Method 2 below.
Reddit's public JSON API works by appending .json to any Reddit URL. Use this when Gemini is unavailable (quota exhausted, API errors, etc.).
curl -s -L -H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
"https://old.reddit.com/r/SUBREDDIT/hot.json?limit=15"
Replace hot with new, top, or rising as needed. For top, add &t=day (or week, month, year, all).
curl -s -L -H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
"https://old.reddit.com/r/SUBREDDIT/comments/POST_ID.json?limit=20"
The response is a JSON array: [0] is the post, [1] is the comment tree.
curl -s -L -H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
"https://old.reddit.com/r/SUBREDDIT/search.json?q=QUERY&restrict_sr=on&sort=new&limit=15"
Use jq to extract what you need:
# List posts
curl -s -L -o /tmp/reddit_result.txt -w "%{http_code}" \
-H "User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36" \
'https://old.reddit.com/r/SUBREDDIT/hot.json?limit=15'
jq -r '.data.children[] | .data | "\(.title)\n \(.score) pts | \(.num_comments) comments | u/\(.author) | id: \(.id)\n"' /tmp/reddit_result.txt
# List comments from a specific post (the [1] element has comments)
jq -r '.[1].data.children[] | select(.kind == "t1") | .data | "u/\(.author) (\(.score) pts):\n \(.body[:300])\n"' /tmp/reddit_thread.txt
Key details:
-o /tmp/file and -w "%{http_code}" saves the response and prints the HTTP status (useful for debugging empty responses)-L follows redirects (old.reddit.com sometimes redirects)& in query strings.body[:300] truncates long comment bodies (jq 1.7+)Reddit's JSON API rate-limits aggressively:
sleep 2 or sleep 3 between each.Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: reddit-fetch is focused, and the summary matches what you get after install.
Registry listing for reddit-fetch matched our evaluation — installs cleanly and behaves as described in the markdown.
reddit-fetch has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: reddit-fetch is the kind of skill you can hand to a new teammate without a long onboarding doc.
reddit-fetch fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added reddit-fetch from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
reddit-fetch reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: reddit-fetch is focused, and the summary matches what you get after install.
I recommend reddit-fetch for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: reddit-fetch is the kind of skill you can hand to a new teammate without a long onboarding doc.
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