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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

7,400 skills

Release preparation workflow - security audit → E2E tests → review → changelog → docs

Code refactoring workflow - analyze → plan → implement → review → validate

Query the memory system for relevant learnings from past sessions

Code quality checks, formatting, and metrics via qlty CLI

Formal theorem proving with research, testing, and verification phases

Identify failure modes before they occur using structured risk analysis

Planning agent that creates implementation plans and handoffs from conversation context

Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic

Analyze brownfield codebase and create initial continuity ledger

Search library documentation and code examples via Nia

System health check (MOT) for skills, agents, hooks, and memory

Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)