team-adversarial-swarm

<required_reading> @~/.maestro/workflows/run-mode-lite.md </required_reading> # Team Adversarial Swarm ACO 蚁群优化 + 模块化 Workflow 编排 + 对抗决策。 继承 `team-swarm` 的蚁群算法核心（Python ACO 脚本），用 4 个可组合的 Workflow 脚本 替代 team-worker 架构，在每个决策节点注入对抗性 agent 模式。 ## Architecture ``` SKILL.md (Coordinator — this file) │ │ Phase 1: Config Generation (inline) │ Phase 2: ACO Init (Bash: aco.py init) │ │ Phase 3: Iteration Loop ×K │ ┌──────────────────────────────────────────────────┐ │ │ 3a. Bash: aco.py select → assignments │ │ │ 3b. Workflow(wf-swarm-explore) ← 模块1 │ │ │ N ants parallel → ant_results │ │ │ 3c. Workflow(wf-swarm-score) ← 模块2 │ │ │ 3-vote adversarial scoring → verified_scores │ │ │ 3d. Write scores → Bash: aco.py update │ │ │ 3e. Workflow(wf-swarm-converge) ← 模块3 │ │ │ prosecutor/defender/judge → converged? │ │ │ 3f. if converged: break │ │ └──────────────────────────────────────────────────┘ │ │ Phase 4: Bash: aco.py report │ Workflow(wf-swarm-synthesize) ← 模块4 │ 3-perspective analysis + arbitration → best-solution.md ``` ## Workflow Module Registry | Module | Script | Args Interface | Adversarial Pattern | Returns | |--------|--------|---------------|--------------------|---------| | **Explore** | `workflows/wf-swarm-explore.js` | `{ iteration, assignments[], objective, session, config }` | N ants parallel |...