agent-swarmlisted

## Dependencies This skill requires **Python 3.8+** and standard library only. No external packages needed. **To install this skill's dependencies:** ```bash pip-compile ./requirements.in pip install -r ./requirements.txt ``` See `../../requirements.txt` for the dependency lockfile (currently empty — standard library only). --- # Agent Swarm Parallel or pipelined execution across multiple agents and worktrees. The orchestrator partitions work, dispatches to agents, and verifies/merges the results. ## When to Use - Large features that can be split into independent work packages - Bulk operations (tests, docs, migrations, RLM distillation) that benefit from parallelism - Multi-concern work where specialists handle different aspects simultaneously ## Process Flow 1. **Plan & Partition** -- Break work into independent tasks. Define boundaries clearly. 2. **Route** -- Decide execution mode: - **Sequential Pipeline** -- Tasks depend on each other (A -> B -> C) - **Parallel Swarm** -- Tasks are independent (A | B | C) 2.5. **Interactively Determine CLI and Model (ask once during bootstrap)**: Before dispatching the swarm workers, you must ask the user: - *"Which LLM CLI engine would you like to run the swarm workers through?"* (Options: `agy`, `claude`, `copilot`, `gemini`, `llama`). - *"Which specific model should be used?"* (Options/defaults per engine, e.g., `Gemini 3.5 Flash (Low)` or `gemini-3.5-flash` for `agy`). - Construct the `swarm_run.py` invocatio