Access Reddit's complete data archive through reddapi.dev's powerful API. This skill provides semantic search, subreddit discovery, and trend analysis capabilities.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionreddapiExecute the skills CLI command in your project's root directory to begin installation:
Fetches reddapi from lignertys/reddit-research-skill 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 reddapi. Access via /reddapi 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.
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Save 3-5 hours per week on routine tasks
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Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Access Reddit's complete data archive through reddapi.dev's powerful API. This skill provides semantic search, subreddit discovery, and trend analysis capabilities.
Key Advantage: This is a third-party service (not Reddit official), meaning:
Natural language search across millions of Reddit posts and comments.
# Search for user pain points
curl -X POST "https://reddapi.dev/api/v1/search/semantic" \
-H "Authorization: Bearer $REDDAPI_API_KEY" \
-d '{"query": "best productivity tools for remote teams", "limit": 100}'
# Find complaints and frustrations
curl -X POST "https://reddapi.dev/api/v1/search/semantic" \
-H "Authorization: Bearer $REDDAPI_API_KEY" \
-d '{"query": "frustrations with current TOOL_NAME", "limit": 100}'
Discover trending topics with engagement metrics.
# Get trending topics
curl "https://reddapi.dev/api/v1/trends" \
-H "Authorization: Bearer $REDDAPI_API_KEY"
Response includes:
post_count: Number of poststotal_upvotes: Engagement scoreavg_sentiment: Sentiment analysis (-1 to 1)trending_keywords: Top keywordsgrowth_rate: Trend momentum# List popular subreddits
curl "https://reddapi.dev/api/subreddits?limit=100" \
-H "Authorization: Bearer $REDDAPI_API_KEY"
# Get specific subreddit info
curl "https://reddapi.dev/api/subreddits/programming" \
-H "Authorization: Bearer $REDDAPI_API_KEY"
# Analyze competitor discussions
curl -X POST "https://reddapi.dev/api/v1/search/semantic" \
-H "Authorization: Bearer $REDDAPI_API_KEY" \
-d '{"query": "COMPETITOR problems complaints", "limit": 200}'
# Find underserved user needs
curl -X POST "https://reddapi.dev/api/v1/search/semantic" \
-H "Authorization: Bearer $REDDAPI_API_KEY" \
-d '{"query": "I wish there was an app that", "limit": 100}'
# Monitor topic growth
curl "https://reddapi.dev/api/v1/trends" \
-H "Authorization: Bearer $REDDAPI_API_KEY" | python3 -c "
import sys, json
data = json.load(sys.stdin)
for trend in data.get('data', {}).get('trends', []):
print(f\"{trend['topic']}: {trend['growth_rate']}% growth\")
"
{
"success": true,
"results": [
{
"id": "post123",
"title": "User post title",
"selftext": "Post content...",
"subreddit": "r/somesub",
"score": 1234,
"num_comments": 89,
"created_utc": "2024-01-15T10:30:00Z"
}
],
"total": 15000
}
{
"success": true,
"data": {
"trends": [
{
"topic": "AI regulation",
"post_count": 1247,
"total_upvotes": 45632,
"avg_sentiment": 0.42,
"growth_rate": 245.3
}
]
}
}
export REDDAPI_API_KEY="your_api_key"
Get your API key at: https://reddapi.dev
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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I recommend reddapi for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added reddapi from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
reddapi reduced setup friction for our internal harness; good balance of opinion and flexibility.
reddapi is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: reddapi is focused, and the summary matches what you get after install.
Registry listing for reddapi matched our evaluation — installs cleanly and behaves as described in the markdown.
reddapi has been reliable in day-to-day use. Documentation quality is above average for community skills.
reddapi reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: reddapi is focused, and the summary matches what you get after install.
reddapi fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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