ReadyAI (SN33)’s Skill Store 33 Goes Live With 61,000+ Skills for AI Agents

Skill Store 33 (SS33) is now live with a searchable library that helps AI agents find reusable instructions for specialised tasks, from reviewing code to creating presentations. ReadyAI (SN33) powers a growing part of its supply by generating skills and accompanying tests.

The idea is that an AI model may understand a task but still miss important steps when completing it. A well-written skill provides a procedure to follow, helping the agent produce better work without retraining the model.

What Does Skill Store 33 Do?

Skill Store 33 (SS33) brings more than 61,000 agent skills into one searchable catalog. The collection combines public resources with contributions from SN33 miners. Each listing explains the skill’s purpose, publisher, license, and token cost to load, helping users judge whether it fits their task.

The store also shows whether a skill is unverified, safety scanned, has passed its supplied tests, or has failing tests. Its stated ranking approach measures improvements in agent performance, while store verification remains separate from subnet scoring. A high SN33 score therefore does not automatically earn a verified badge.

How to Try SS33

Visit SS33 and search for a task you want your agent to complete. Review the relevant skill’s scope, requirements, and verification status. Pay attention to any software versions or tools it requires, as these can affect whether its instructions apply to your work.

Compatible agents can also use SS33’s MCP server to search for and load skills during a task. ReadyAI provides the following connection command for Claude Code. Once connected, a useful first test is to repeat a task your agent previously struggled with and compare the accuracy, completeness, and cost of the result.

Conclusion

SS33 gives SN33-generated skills a public destination alongside a wider collection of community resources. It connects the subnet’s work on producing skills and tests with users looking for practical guidance for their agents.

The next challenge is turning that collection into dependable results. If SS33 consistently helps agents find skills that improve their work, it could make capable AI tools more useful without requiring users to switch models for every difficult task.

➛ View SS33 Skills Catalogue Here.