We don't publish
your competitive advantage.
AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFMypy reports errors like 'Returning Any from function declared to return ...' or 'missing library stubs or py.typed marker' when using llama_index packages.
THENEnsure that the llama_index package and its sub‑packages contain a `py.typed` file to signal support for type hints. If missing, reinstall the package or manually add the marker. For functions that return `Any`, use `cast()` from the `typing` module to specify the expected type (e.g., `ServiceContext`). Upgrading to the latest version of llama_index may also include more complete type annotations.
Connect your site → query the full pool
What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
Connect a site