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AI Skills Manager
SkillHQ is the first paid marketplace for AI agent skills. Developers buy production-ready Claude Code SKILL.md packages and Custom GPT configurations, then install them with a single CLI command. Skill creators publish their work and keep 85% of every sale.
The AI tooling ecosystem is fragmented. Developers spend hours searching GitHub for prompts and configurations that may or may not work. Free directories like AgentSkill.sh and Skills.sh list 100,000+ skills with zero quality gates โ anyone can publish anything. There's no reliable, curated source for production-ready AI skills, and no way for creators to earn from the skills they build.
Transaction-based. SkillHQ takes a 15% commission per sale. No subscription fees for buyers or sellers. Skills are priced between โฌ2 and โฌ50. Stripe Connect handles all payment processing and seller payouts.
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SkillHQ.dev's answer:
SkillHQ is the only paid marketplace for AI agent skills. Every competitor โ AgentSkill.sh, Skills.sh, SkillsMP, ClawHub โ is a free directory with no quality gate. Anyone can publish anything. SkillHQ validates every skill before listing (structure, content, and security checks), protects creators with invisible fingerprinting and SimHash piracy detection, and lets buyers install with a single CLI command. No other platform combines quality validation, one-command install, anti-piracy, and built-in creator monetization.
SkillHQ.dev's answer:
If you're buying skills: Free directories list 100,000+ skills with zero validation. That sounds like a lot until you spend three hours finding one that actually works. SkillHQ skills pass automated checks before listing โ you're paying for the guarantee that what you install is production-ready. Run "skillhq install name" and it drops directly into your project. No manual copying, no debugging someone else's broken prompt.
If you're selling skills: There's no other platform where you can monetize AI skills with built-in payments. ClawHub creators reportedly earn $600โ$20,000/month selling premium versions off-platform through Gumroad โ proving the demand exists. SkillHQ closes that loop natively: 85% revenue share, zero listing fees, zero monthly minimums, Stripe Connect payouts to 45+ countries, and anti-piracy protection on every download.
SkillHQ.dev's answer:
Developers and small dev teams building with AI agents โ specifically Claude Code and Custom GPTs. These are practitioners, not researchers. They want tools that work now, not experiments. On the buyer side, they're tired of filtering through unvalidated GitHub repos and free directories to find skills that actually do what they claim. On the seller side, they've built effective AI skills and want a real revenue path beyond open-source and GitHub stars. Both sides are technical, self-serve, and allergic to unnecessary friction.
SkillHQ.dev's answer:
SkillHQ was born from a simple frustration: the AI skills ecosystem had no quality standard and no economics. Thousands of developers were building powerful Claude Code skills and Custom GPT configurations, then sharing them for free on GitHub with no feedback loop โ no validation, no versioning, no way to know if what you found would actually work. Meanwhile, the best skill creators had no way to earn from their work.
We built SkillHQ to fix both sides. Think of it as npm for AI skills โ a marketplace where every package is validated before listing, installable with one command, and worth paying for. Creators get 85% of every sale with zero upfront costs. Buyers get skills they can trust. The model is simple: when creators can earn, they build better skills. When buyers can trust what they install, they buy more. That flywheel is what makes a marketplace work.
Based on our record, Django seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use of settings.py as a naming convention follows in Django's footsteps, but alternatively, you can save it to .env and integrate use of python-dotenv to more closely mirror Node. - Source: dev.to / 9 months ago
Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / about 2 years ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / almost 4 years ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so Iโd recommend going for a prebuilt solution like PowerSchool and the like. Source: about 4 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: about 4 years ago
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