parallellisted

# Parallel - Concurrent Execution (v3.0) Run multiple Ralph loops concurrently for independent tasks. ## v2.88 Key Changes (MODEL-AGNOSTIC) - **Model-agnostic**: Uses model configured in `~/.claude/settings.json` or CLI/env vars - **No flags required**: All parallel tasks use the configured default model - **Flexible**: Works with GLM-5, Claude, Minimax, or any configured model - **Settings-driven**: Model selection via `ANTHROPIC_DEFAULT_*_MODEL` env vars ## Agent Teams Integration (v2.88) **Optimal Scenario**: Integrated (Agent Teams + Custom Subagents) Parallel execution combines Agent Teams coordination with ralph-coder specialization for optimal parallel file processing. ### Why Scenario C for Parallel Execution - Multiple files require coordinated distribution - Quality gates essential for result validation - Specialized ralph-coder agents for implementation - Shared task list tracks all parallel work ### Automatic Team Creation When the parallel skill is invoked, automatically create a team: ```yaml # Automatically create team on skill invocation TeamCreate: team_name: "parallel-execution-{timestamp}" description: "Parallel execution of independent tasks" ``` ### Spawning Parallel Agents Create multiple ralph-coder instances for parallel tasks: ```yaml # Spawn 3 parallel ralph-coder agents Task: subagent_type: "ralph-coder" team_name: "parallel-execution-{timestamp}" prompt: "Fix auth errors in src/auth/" Task: subagent_type: "ralph-coder" t