// 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.
/shogun-bloom-config to understand the landscapeOutput 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"
エージェントのCLI/モデルをライブ切替するスキル。settings.yaml更新→/exit→新CLI起動→ pane metadata更新を一発で実行。Thinking有無も制御。 「モデル切替」「Sonnetにして」「Opusに変えて」「足軽全員切替」「Thinking切って」で起動。
スクリーンショットの取得・加工を行う。ローカルスクショから最新画像を取得、 PlaywrightでWebページをキャプチャ、画像のトリミング・リサイズ、機微情報を黒塗りマスキング。 記事執筆、レポート作成、UI確認、画像加工時に起動。 「スクショ」「スクリーンショット」「画面キャプチャ」「最新のスクショ」「画像加工」「トリミング」「マスク」「写メ」「写メ撮った」「スクショ撮った」で起動。 Do NOT use for: 画像生成（shogun-imagegenを使え）。
Claude Codeスキル（SKILL.md）の設計・作成・バリデーション・レビュー。 Anthropic公式ガイド(2026-03)準拠。新規スキル作成、既存スキルの改善、 description品質チェック、トリガーテスト設計に使用。 「スキル作って」「スキル設計」「SKILL.md作成」「スキルレビュー」で起動。 Do NOT use for: スキルの実行・呼び出し（それは各スキル自体が行う）。
README.md（英語）とREADME_ja.md（日本語）の同期を確認・実行するスキル。README変更時に両言語版を必ず同時更新するために使用。「README更新」「README同期」「readme sync」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 assignments. Trigger: "capability_tiers", "bloom config", "routing setup", "set up model routing", "ルーティング設定", "capability_tiers設定", "モデル設定", "サブスク設定", "model routing"
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。