Agent skills for Cursor

Configures dynamic deployment parameters, renders Go templates for manifest files, and injects frontend scripts into LazyCat MicroServer…

Architects, packages, and deploys applications on the LazyCat MicroServer platform using LPK V2 specifications, advanced routing, and OIDC…

Contribute a verified bug fix for LazyCodex, lazycodex-ai, omo-codex, bundled Codex skills, or upstream Codex CLI bugs.

Create a high-signal bug issue or PR in the repo that owns the defect.

Extract structured real-estate lead records from parsed message objects.

Go application architecture with net/http 1.22+ routing, project structure patterns, graceful shutdown, and dependency injection.

Use when evaluating ICP fit, buying intent, and routing priority for new leads.

Generates concise, developer-ready product requirement documents with user stories, acceptance criteria, and out-of-scope lists in 45…

Guide teams through Lean UX Canvas v2. Use when framing a business problem, surfacing assumptions, and defining what to learn next.

Analyze your OMC usage patterns and get personalized recommendations

Capture durable lessons from the current session into project and global lessons.md files, or feed skill-specific lessons back into the…

Learn transferable presentation craft from existing reference decks and distil it into a reusable presentation-guide.md.

Extract reusable knowledge from the current session into a persistent skill.

Verify a factual claim before it is taught as fact.

Profiles learner backgrounds, establishes learning goals, and sets up tailored study baselines before instruction begins.

Interpret learning analytics data and translate dashboard findings into actionable teaching decisions.

Routes AI-driven development so the human keeps making the design decisions and reviewing the result.

Routes and disambiguates learner goals, tech stacks, and interview prep requests into actionable structured learning pathways.

Facilitates deliberate skill development during AI-assisted coding.

Build a learning progression showing prerequisite-to-mastery steps for a target skill or understanding.

Structured format for capturing high-quality learnings during ClosedLoop runs