shogun-agent-status
全エージェント(家老・足軽1-7・軍師)の稼働状態を一覧表示するスキル。tmux pane状態(稼働中/待機中/不在)とタスクYAML状態(task_id, status)と未読inbox数を統合表示。「稼働確認」「エージェント状態」「布陣確認」「agent status」で起動。
All AI CLI tools × available models × required subscriptions × Bloom max capability. Reference table for choosing which models to use in multi-agent-shogun. Trigger: "model list", "what models", "model comparison", "which models can I use", "モデル一覧", "モデル比較", "どのモデルが使える"
$ npx -y skills add yohey-w/multi-agent-shogun --skill shogun-model-list --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/shogun-model-listContext preview
The summary Claude sees to decide when to auto-load this skill.
All AI CLI tools × available models × required subscriptions × Bloom max capability. Reference table for choosing which models to use in multi-agent-shogun. Trigger: "model list", "what models", "model comparison", "which models can I use", "モデル一覧", "モデル比較", "どのモデルが使える"
name: shogun-model-list description: > All AI CLI tools × available models × required subscriptions × Bloom max capability. Reference table for choosing which models to use in multi-agent-shogun. Trigger: "model list", "what models", "model comparison", "which models can I use", "モデル一覧", "モデル比較", "どのモデルが使える"
Displays a complete reference table of all AI CLI tools, models, required subscriptions, and maximum Bloom cognitive level per model. Use this before configuring `capability_tiers` in `config/settings.yaml`.
Output the reference tables below directly to the user. No tool calls required.
---
| Level | Category | Task Examples | |-------|----------|---------------| | L1 | Remember | File copy, template apply, data format | | L2 | Understand | Summarize, explain, translate | | L3 | Apply | Implement known patterns, generate boilerplate | | L4 | Analyze | Debug, code review, root cause analysis | | L5 | Evaluate | Architecture review, design trade-off judgment | | L6 | Create | Novel architecture, requirements design, strategy |
---
| Plan | Monthly | Opus 4.6 | Sonnet 4.6 | Haiku 4.5 | Extended Thinking | |------|---------|----------|------------|-----------|-------------------| | Free | $0 | ✗ | ✓ | ✓ | ✗ | | Pro | $20 | ✓ | ✓ | ✓ | ✓ | | Max 5x | $100 | ✓ | ✓ | ✓ | ✓ | | Max 20x | $200 | ✓ | ✓ | ✓ | ✓ |
> Pro/Max 5x/Max 20x have the same model access. The difference is usage quota (5x/20x = multiplier of Pro).
| Model | Bloom Max | Best For | Notes | |-------|-----------|----------|-------| | `claude-haiku-4-5-20251001` | **L3** | High-volume L1-L3 tasks, fast responses | $1/$5/M; SWE-bench 73.3% (4pp below Sonnet 4.5); extended thinking available | | `claude-sonnet-4-6` | **L5** | Code review, analysis, orchestration | Best balance — $3/$15/M; SWE-bench 79.6%, 1M context | | `claude-opus-4-6` | **L6** | Novel design, strategy, architecture | $5/$25/M; SWE-bench 80.8% (only 1.2pp above Sonnet 4.6); use for true L6 only |
> **Extended Thinking** (available Pro+): Adds ~1 Bloom level of effective capability on complex reasoning tasks.
| Agent | Recommended Model | Bloom Use | Reason | |-------|------------------|-----------|--------| | Shogun (You) | `claude-opus-4-6` | L6 | Strategic decisions, final review | | Karo (Manager) | `claude-sonnet-4-6` | L4-L5 | Task orchestration; Opus is overkill here | | Gunshi (Strategist) | `claude-opus-4-6` | L5-L6 | Deep QC, architecture evaluation | | Ashigaru 1–7 | Configured via `capability_tiers` | L1-L3 | Workers — routed by Bloom level |
---
| Plan | Monthly | Spark | gpt-5.3-codex | codex-mini | codex-max | |------|---------|-------|---------------|------------|-----------| | Free / Go ($8) | $0–$8 | ✗ | ✗ (limited) | ✗ | ✗ | | Plus | $20 | ✗ (**Pro only**) | ✓ | ✓ | ✓ | | Pro | $200 | ✓ | ✓ | ✓ | ✓ |
> **gpt-5.3-codex-spark requires ChatGPT Pro ($200).** ChatGPT Plus ($20) does NOT include Spark.
| Model | Bloom Max | Best For | Notes | |-------|-----------|----------|-------| | `gpt-5.3-codex-spark` | **L3** | High-volume L1-L3 tasks at 1000+ tok/sec | Separate quota from gpt-5.3-codex; blazing fast | | `gpt-5-codex-mini` | **L2** | Minimal quota usage for trivial tasks | Lightweight alternative to Spark | | `gpt-5.3-codex` | **L4** | Analysis, debugging, code review | Standard workhorse | | `gpt-5.1-codex-max` | **L5** | Complex analysis, design evaluation | Highest Codex capability |
> **L6 gap**: No Codex model reliably handles novel creative design (L6). For L6 tasks, Claude Opus is recommended.
---
| Model | CLI | Bloom Max | Min Subscription | Notes | |-------|-----|-----------|-----------------|-------| | `gpt-5-codex-mini` | Codex CLI | L2 | ChatGPT Plus | Lightweight, minimal quota | | `claude-haiku-4-5-20251001` | Claude Code | **L3** | Claude Free | Best Claude cost-efficiency; SWE-bench 73.3% | | `gpt-5.3-codex-spark` | Codex CLI | L3 | **ChatGPT Pro** | 1000+ tok/s; Terminal-Bench 58.4% | | `gpt-5.3-codex` | Codex CLI | L4 | ChatGPT Plus | Terminal-Bench 77.3%; 400K+ context | | `claude-sonnet-4-6` | Claude Code | L5 | Claude Free | $3/$15/M; SWE-bench 79.6%; 1M context; math +27pt vs Sonnet 4.5 | | `gpt-5.1-codex-max` | Codex CLI | L5 | ChatGPT Plus | Highest Codex capability | | `claude-opus-4-6` | Claude Code | L6 | Claude Pro | $5/$25/M; SWE-bench 80.8%; reserve for true L6 tasks |
---
To generate a ready-to-paste `capability_tiers` YAML for your subscription:
/shogun-bloom-config
Or tell the Shogun: "set up capability tiers for my subscription"
Command your AI army like a feudal warlord. Run 10 AI coding agents in parallel — Claude Code, OpenAI Codex, GitHub Copilot, Kimi Code, OpenCode, Cursor, Antigravity — orchestrated through a samurai-inspired hierarchy with zero coordination overhead.
Repo: yohey-w/multi-agent-shogun
全エージェント(家老・足軽1-7・軍師)の稼働状態を一覧表示するスキル。tmux pane状態(稼働中/待機中/不在)とタスクYAML状態(task_id, status)と未読inbox数を統合表示。「稼働確認」「エージェント状態」「布陣確認」「agent status」で起動。
Interactive wizard: guided questions with multiple-choice options about subscriptions, then outputs a ready-to-paste capability_tiers YAML + fixed agent model…
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