github-issues-from-spec
This skill transforms feature specifications, requirements documents, or plans into well-structured GitHub issues. It chunks large features into small, testable issues, creates them via gh CLI, and adds them to the appropriate GitHub project with labels. Use when converting specs to actionable issues.
new-go-endpoint
This skill automates the API-first workflow for creating new Go API endpoints. It handles OpenAPI spec updates, code generation, SQLC query creation, handler implementation, and Redis caching patterns. Use when adding new endpoints to the Lexicon backend.
test-endpoints
This skill automates API endpoint testing and documentation. It runs curl requests against specified endpoints, captures responses, validates against OpenAPI spec, and generates markdown documentation. Use after implementing new endpoints or when verifying API behavior.
disciplined-work
This skill should be used to execute work plans with strict coding discipline that avoids common LLM mistakes. It merges structured plan execution (phased workflow, incremental commits, quality checks) with disciplined coding guardrails (assumption surfacing, simplicity-first, surgical changes, test-driven execution). Triggers on /disciplined-work, /k-work, "disciplined work", or "careful work".
karpathy-mode
This skill should be used to enforce a disciplined coding workflow that avoids common LLM mistakes. It applies when writing code, implementing features, or when the user says /karpathy, /k-mode, or asks for "careful", "disciplined", or "minimal" implementation. Enforces assumption surfacing, simplicity-first coding, surgical changes, and test-driven execution.