Provider selection [--provider], model selection [-m], sandbox [-s], and changeMode:boolean for providing edits. Supports Gemini, Codex, and Claude Code.

Echo

Display help information for the configured AI provider CLI

Generate novel ideas with dynamic context gathering. --> Creative frameworks (SCAMPER, Design Thinking, etc.), domain context integration, idea clustering, feasibility analysis, and iterative refinement. Supports Gemini, Codex, and Claude.

Retrieves cached chunks from a changeMode response. Use this to get subsequent chunks after receiving a partial changeMode response.

Test timeout prevention by running for a specified duration

Apply a single research-grounded skill gate to detect common AI coding mistakes. Choose the gate relevant to your current task stage: requirements-grounding, context-scope-discipline, dependency-verification, design-doc-and-architecture-gate, test-and-error-path-gate, secure-coding-and-validation-gate, code-review-and-change-gate, code-quality-enforcer, or deterministic-validation-gate. Based on academic research and professional engineering standards.

Coordinated multi-gate review. Auto-selects the minimum set of research-grounded skill gates for a given task type (feature/bugfix/refactor/dependency-update) and runs them in a single structured pass. Produces gate-by-gate findings, blocking issues, and a final merge recommendation. Uses the AI Coding Agent Mitigator coordinator pattern.

Deploy multiple AI agents to work on tasks collaboratively or independently. Strategies: 'parallel' (N agents on 1 task), 'sequential' (chained, each sees prior output), 'fan-out' (1 agent per task). Agents communicate via shared context to avoid conflicts and redundancy. Current agent mode: read-only.

Check status of multi-agent orchestration sessions. Provide a sessionId to get details, or omit to list recent sessions. Current agent mode: read-only.