logos-ai-skills

Use when the user wants to create, extend, or debug a Logos core module and needs concrete guidance for metadata.json, flake.nix, CMakeLists.txt, mkLogosModule, code generation, external-library wrapping, inter-module calls, and logoscore-friendly validation.

Use when the user needs to discover the right Logos repo, choose a module, inspect a repo before editing, decide on a module shape, plan Basecamp integration, or operate logoscore. This is the single entry skill for Logos orientation, routing, and pre-build decisions.

Use when the user wants to run a documented Logos operator flow such as the LEZ wallet and token workflows, blockchain node quickstart, delivery API compose stack, chat demo, AnonComms mixnet demo, app-alpha build, or headless-node logoscore subset. Covers all docs-backed journeys with explicit gap handling.

Use when the user needs the operational build loop for Logos modules or ui_qml apps, including nix build, ws build --auto-local, lm, logoscore, nix run, lgx, lgpm, Basecamp package-manager install, manual file-copy fallback, reset and cleanup loops, and compatibility-aware runtime warnings.

Use when the user wants to bootstrap a standalone Logos Scaffold project, choose between the default and LEZ framework templates, understand the required first-success path, or reason about Scaffold's localnet, wallet, deploy, doctor, and report flows without guessing from the CLI surface.

Use when the user wants to create, extend, or debug a Logos ui_qml module and needs concrete guidance for QML-only versus backend-backed ui_qml, view versus optional backend main, mkLogosQmlModule, logos.callModule, .rep and typed replica flows, standalone nix run, and Basecamp loading expectations.