AI-first React Native and Expo boilerplate. Feature-first architecture, TypeScript, auth, i18n, theming, Redux Toolkit, plus Cursor and Claude rules. Lite tier of AI Mobile Launcher.
Implements ONE numbered task from a feature's tasks.md, following the project's constitution and stack rules. Use AFTER planner produced tasks.md and researcher produced research.md. The orchestrator specifies which task number. Writes code + colocated tests. Stack-agnostic.
Breaks a feature spec + design into atomic, ordered, testable tasks. Use AFTER spec.md and design.md exist and AFTER the researcher's report. Writes specs/ /tasks.md. Stack-agnostic.
Read-only codebase explorer for Spec-Driven Development. Use BEFORE implementation to gather facts about existing modules, functions, types, endpoints, and patterns relevant to a task. Returns a structured findings report with file:line citations. NEVER edits files. Stack-agnostic.
Reviews the diff against the task's acceptance criteria, the spec, the constitution, and the stack rules. Use AFTER the tester reports green and the verifier returns PASS. Returns approve / request-changes with cited issues. Read-only. Stack-agnostic.
Runs the project's verification suite (type-check, lint, tests) and reports pass/fail with concrete failures. Use AFTER the implementer finishes a task and BEFORE the verifier. Read-only on source. Stack-agnostic — reads the commands from .memory/30-tech.md.
The loop's verifier. Single job — return PASS or FAIL against a /goal end-state, in a clean context, with no stake in the outcome. Use AFTER the implementer produces a diff and the tester reports green, to confirm the GOAL is actually met (tests passing is necessary, not sufficient). Read-only on source; runs…
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: