Search and retrieve Product Hunt posts, topics, users, and collections via GraphQL API.
Works with
Four command categories: posts (by slug/ID, featured, filtered by topic or date), topics (lookup and search), users (profile and post history), and collections (featured and by ID)
Requires a Product Hunt developer token set as PRODUCTHUNT_ACCESS_TOKEN environment variable
Rate limited to 6250 complexity points per 15 minutes; includes built-in scripts for quick validation and data retrieval
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionproducthuntExecute the skills CLI command in your project's root directory to begin installation:
Fetches producthunt from resciencelab/opc-skills 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 producthunt. Access via /producthunt 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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Run in your terminal
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Get posts, topics, users, and collections from Product Hunt via the official GraphQL API.
Set access token in ~/.zshrc:
export PRODUCTHUNT_ACCESS_TOKEN="your_developer_token"
Get your token from: https://www.producthunt.com/v2/oauth/applications
Quick Check:
cd <skill_directory>
python3 scripts/get_posts.py --limit 3
All commands run from the skill directory.
python3 scripts/get_post.py chatgpt # Get post by slug
python3 scripts/get_post.py 12345 # Get post by ID
python3 scripts/get_posts.py --limit 20 # Today's featured posts
python3 scripts/get_posts.py --topic ai --limit 10 # Posts in topic
python3 scripts/get_posts.py --after 2026-01-01 # Posts after date
python3 scripts/get_post_comments.py POST_ID --limit 20
python3 scripts/get_topic.py artificial-intelligence # Get topic by slug
python3 scripts/get_topics.py --query "AI" --limit 20 # Search topics
python3 scripts/get_topics.py --limit 50 # Popular topics
python3 scripts/get_user.py rrhoover # Get user by username
python3 scripts/get_user_posts.py rrhoover --limit 20 # User's posts
python3 scripts/get_collection.py SLUG_OR_ID # Get collection
python3 scripts/get_collections.py --featured --limit 20
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
Useful defaults in producthunt — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend producthunt for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: producthunt is the kind of skill you can hand to a new teammate without a long onboarding doc.
producthunt has been reliable in day-to-day use. Documentation quality is above average for community skills.
producthunt is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for producthunt matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: producthunt is the kind of skill you can hand to a new teammate without a long onboarding doc.
producthunt reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend producthunt for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
producthunt fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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