Fable Foreman
olsenbrands/fable-foreman
Turns the lead model into a foreman that plans, routes and verifies while cheaper Claude, Codex or Grok workers do the typing, using a per-machine routing card.
Apply Sun Tzu's Art of War to AI agent orchestration. An agent skill from LeoYeAI/openclaw-master-skills.
$ npx skills add LeoYeAI/openclaw-master-skills --skill art-of-war-agents -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills art-of-war-agents --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/art-of-war-agents .claude/skills/art-of-war-agents && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "art-of-war-agents" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/art-of-war-agents into .claude/skills/art-of-war-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "art-of-war-agents", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/art-of-war-agentsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill art-of-war-agents -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills art-of-war-agents --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/art-of-war-agents .agents/skills/art-of-war-agents && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "art-of-war-agents" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/art-of-war-agents into .agents/skills/art-of-war-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "art-of-war-agents", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill art-of-war-agents -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills art-of-war-agents --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/art-of-war-agents .cursor/skills/art-of-war-agents && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "art-of-war-agents" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/art-of-war-agents into .cursor/skills/art-of-war-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "art-of-war-agents", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/art-of-war-agents--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill art-of-war-agents -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills art-of-war-agents --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/art-of-war-agents .gemini/skills/art-of-war-agents && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "art-of-war-agents" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/art-of-war-agents into .gemini/skills/art-of-war-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "art-of-war-agents", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills art-of-war-agentsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill art-of-war-agents -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/art-of-war-agents .github/skills/art-of-war-agents && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "art-of-war-agents" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/art-of-war-agents into .github/skills/art-of-war-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "art-of-war-agents", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill art-of-war-agents -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills art-of-war-agents --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/art-of-war-agents .opencode/skills/art-of-war-agents && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "art-of-war-agents" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/art-of-war-agents into .opencode/skills/art-of-war-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "art-of-war-agents", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
art-of-war-agentsApply Sun Tzu's Art of War to AI agent orchestration. An agent skill from LeoYeAI/openclaw-master-skills.
Art Of War Agents is an agent skill from LeoYeAI/openclaw-master-skills. Apply Sun Tzu's Art of War to AI agent orchestration. Use for: task assessment (五事七计), deployment decisions, multi-agent strategy, token cost optimization, risk management, and agent collaboration patterns. Maps all 13 chapters to practical agent workflows with decision trees and troubleshooting.
Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `CARD.md`, `CHANGELOG.md` and `README.md`).
It sits in Agent Workflows, covering Multi-agent orchestration and LLM cost and token optimization. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
12 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Art Of War Agents loads about 5k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 1,762 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,762 words, ~4,965 tokens.
.claude/skills/art-of-war-agents/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.兵者,国之大事,死生之地,存亡之道,不可不察也
"War is vital — the province of life or death. It must be thoroughly studied."
Sun Tzu's 13 chapters → AI agent orchestration patterns.
This skill provides a complete framework for strategic agent deployment: when to use agents, which ones, how to organize them, and how to avoid wasting tokens on unwinnable battles.
┌─────────────────────────────────────────────────────────────┐
│ ART OF WAR AGENT DECISION FLOW │
├─────────────────────────────────────────────────────────────┤
│ │
│ 1. 始计 → 值得做吗?(五事七计评估) │
│ ├─ Score ≥70% → 部署 │
│ ├─ Score 50-70% → 先补弱点 │
│ └─ Score <50% → 不做,重新规划 │
│ │
│ 2. 谋攻 → 能不做吗?(上兵伐谋) │
│ ├─ 可自动化/消除 → 不做 │
│ ├─ 单 agent 可解 → 单 agent │
│ └─ 必须多 agent → 继续 │
│ │
│ 3. 作战 → 预算多少?(速战速决) │
│ ├─ <10k tokens → 单 agent,快速迭代 │
│ └─ >10k tokens → 多 agent,设检查点 │
│ │
│ 4. 军形 → 有风险吗?(先胜后战) │
│ ├─ 高风险 → 防御优先,多重验证 │
│ └─ 低风险 → 速度优先 │
│ │
│ 5. 部署 → 监控信号 (行军篇) │
│ ├─ 重复提问 → 补充上下文 │
│ ├─ 输出变长但质量降 → 强制简洁 │
│ ├─ 过度自信 → 要求来源 │
│ └─ 循环论证 → 介入重定向 │
│ │
│ 6. 验证 → 三反原则 (用间篇) │
│ └─ 至少 3 个独立来源交叉验证 │
│ │
└─────────────────────────────────────────────────────────────┘Before deploying any agent, run the Five Constants + Seven Metrics:
五事 (Five Constants):
七计 (Seven Metrics):
Decision: If you can't answer these, don't deploy. Plan first.
Agent runs cost tokens. Treat them like war costs:
Rule: If a task can be done in 1 agent iteration, don't use 3.
Hierarchy of agent deployment:
Avoid siege warfare: Don't throw more agents at a poorly-defined problem.
全胜思维: The best outcome is winning without fighting — automate or eliminate the task entirely.
Before offense, ensure defense:
先为不可胜: Make yourself undefeatable first — have validation, version control, and undo capability.
以待敌之可胜: Then wait for the opportunity — deploy when conditions are favorable.
Create unstoppable momentum:
Example pattern: Research agent → Synthesis agent → Critique agent → Final polish Each builds on the previous, creating momentum.
Avoid strength, attack weakness:
避实击虚: If an agent struggles with nuance, handle the nuance yourself; let it handle the bulk work.
致人而不致于人: Control where the agent focuses; don't let it drift.
The longest path may be fastest:
以迂为直: A seeming detour (extra planning, extra validation) often reaches the goal faster.
Agents must adapt to changing conditions:
Five dangerous agent faults:
Watch for these; intervene early.
Read the signals:
When to intervene:
Six terrain types → Six task types:
| 地形 | 任务类型 | Agent 策略 |
|---|---|---|
| 通形 (Accessible) | 清晰定义的任务 | 直接部署,标准流程 |
| 挂形 (Entangling) | 容易陷入细节的任务 | 设时间限制,强制输出 |
| 支形 (Stalemate) | 信息不足的任务 | 先收集信息,再决策 |
| 隘形 (Narrow) | 高约束任务 | 精确指令,严格验证 |
| 险形 (Dangerous) | 高风险任务 | 多重验证,保守策略 |
| 远形 (Distant) | 长链条任务 | 分阶段,设检查点 |
Match resource commitment to task importance:
| 地 | 任务重要性 | Agent 投入 |
|---|---|---|
| 散地 (Home ground) | 日常任务 | 轻量 agent,快速迭代 |
| 轻地 (Light ground) | 低价值任务 | 最小可用方案 |
| 争地 (Contentious) | 竞争/时间敏感 | 优先资源,快速部署 |
| 交地 (Open ground) | 多方协作 | 明确接口,文档先行 |
| 衢地 (Intersecting) | 多目标 | 平衡资源,避免偏废 |
| 重地 (Serious) | 高价值任务 | 多 agent 协作,充分验证 |
| 圮地 (Difficult) | 信息不足 | 先探索,后投入 |
| 围地 (Desperate) | 受约束 | 创造性方案,突破限制 |
| 死地 (Death) | 背水一战 | 全力以赴,不留退路 |
Most tasks are 散地 or 轻地 — don't over-invest.
Fire = powerful tools (code execution, API calls, external data):
用火的时机 (When to use fire):
Warning: Fire can burn you. Validate tool outputs; don't trust blindly.
Five types of intelligence sources:
| 间 | Agent 应用 |
|---|---|
| 因间 (Local spies) | 利用现有文档/代码库 |
| 内间 (Inside spies) | 访问内部系统/数据库 |
| 反间 (Double agents) | 交叉验证多个信息源 |
| 死间 (Doomed spies) | 一次性查询(搜索、API) |
| 生间 (Living spies) | 持续监控(RSS、警报) |
关键原则:
Task arrives
↓
Can I do this myself in <5 min?
├─ Yes → Do it (don't deploy agent)
└─ No → Continue
↓
Is the task clearly defined?
├─ No → Plan first (始计篇)
└─ Yes → Continue
↓
What's the token budget?
├─ Low (<10k) → Single focused agent (谋攻篇)
└─ High → Multi-agent OK (兵势篇)
↓
What's the risk if wrong?
├─ High → Defense first (军形篇), multiple validation
└─ Low → Speed优先 (作战篇)
↓
Deploy with clear success criteria
↓
Monitor for drift (行军篇)
↓
Validate output (用间篇 - cross-check)User: "Should I use an agent for competitor research?"
Agent applies 五事七计:
| 五事 | 评估 | 得分 |
|---|---|---|
| 道 (Wisdom) | Aligns with product launch goals | ✓ 1 |
| 天 (Timing) | Launch in 3 weeks, timing good | ✓ 1 |
| 地 (Environment) | Need market data, competitor info | ✓ 1 |
| 将 (Capability) | Research + synthesis agents available | ✓ 1 |
| 法 (Process) | Clear workflow: research→synthesize→present | ✓ 1 |
七计 Score: 6/7 (task clarity could be better)
Overall: 85% → DEPLOY
Recommendation: Start with existing reports (因间) before new searches (死间). Budget: ~5k tokens.
User: "The agent keeps asking me the same questions over and over"
Diagnosis: 挂形 (entangling ground) — agent is stuck in a loop
Signal Reading:
Action:
"Stopping current run. Here's what was missing:
[provide missing context]
New instructions:
1. Use the context above
2. Complete in max 2 iterations
3. If blocked, make reasonable assumptions and note them
4. Output format: [specify]
Proceed."User: "I need a complete market analysis report"
Apply 兵势篇 — Create Momentum:
┌─────────────────────────────────────────────────────────┐
│ 势 (SHI) — MOMENTUM CONFIGURATION │
├─────────────────────────────────────────────────────────┤
│ │
│ Research Agent → Synthesis Agent │
│ (collect raw data) (find patterns, insights) │
│ ↓ ↓ │
│ Critique Agent → Writing Agent │
│ (find gaps, flaws) (draft report) │
│ ↓ ↓ │
│ Validation Agent → FINAL OUTPUT │
│ (cross-verify facts) │
│ │
│ Each output → next input. No parallel chaos. │
└─────────────────────────────────────────────────────────┘奇正 Combination:
User: "I want an agent to refactor our production codebase"
Apply 军形篇 — Defense First:
先为不可胜 (Make Undefeatable):
以待敌之可胜 (Wait for Opportunity):
Deployment:
"Refactor the authentication module ONLY.
Constraints:
- No changes to public API signatures
- All existing tests must pass
- Max 3 iterations, then we review
- Document all changes
If uncertain about anything, ask before changing."User: "Should I let the agent execute code to analyze this dataset?"
Apply 火攻篇 — Five Fires Analysis:
| Fire Type | Available? | Use? |
|---|---|---|
| 人火 (User data) | ✓ Dataset provided | Use first |
| 积火 (Cached) | ✓ Previous analysis exists | Reuse |
| 辎火 (API/Search) | ✓ Has access | Use if needed |
| 库火 (Code exec) | ✓ Sandbox available | Use with caution |
| 队火 (Multi-agent) | ✓ Available | Not needed yet |
Decision: Start with 人火 + 积火 (existing data). Only use 库火 (code execution) if initial analysis shows it's necessary.
Guardrails:
❌ Before (No Art of War):
User: "Research our competitors and write a report"
Agent: *starts searching immediately*
*finds 50 sources*
*writes 20 page report*
*user: "this isn't what I needed"*
*starts over*
Token waste: ~50k
Result: Wrong direction, redo needed✅ After (Art of War Applied):
User: "Research our competitors and write a report"
Agent [始计篇]: "Before I start:
1. Which competitors? (top 3? all in category?)
2. What aspects? (pricing? features? marketing?)
3. Who's the audience? (exec team? product team?)
4. What format? (slides? doc? spreadsheet?)
5. Deadline? (hours? days?)"
User: "Top 3 competitors, features + pricing,
for product team, spreadsheet, tomorrow"
Agent [谋攻篇]: "Single agent can handle this.
Budget: ~8k tokens.
Will use existing data first (因间),
then search for gaps (死间).
Checkpoint after data collection.
Proceed?"
User: "Proceed"
Agent [兵势篇]: *Research → Synthesis → Format*
*Checkpoint: "Found data for 2/3 competitors,
X missing. Use estimates?"*
User: "Use estimates, note as assumptions"
Agent [用间篇]: *Cross-verified pricing with 2 sources*
*Delivered: 8k tokens, correct direction*
Token waste: ~8k (84% savings)
Result: Right direction, one iterationUser: "I need to research competitors for our new product launch"
Apply 始计篇:
Decision: Deploy, but start with 因间 (existing reports) before 死间 (new searches).
User: "The agent keeps asking me the same questions"
Apply 行军篇: This is a signal (信号). The agent is on 挂形 (entangling ground).
Action:
User: "I need to build a complete market analysis report"
Apply 兵势篇 (create momentum):
Each output feeds the next, creating 势 (momentum).
| Problem | Sun Tzu Diagnosis | Solution |
|---|---|---|
| Agent stuck in loops | 行军篇 — 挂形 (entangling ground) | Intervene early, provide missing context, set iteration limit |
| Output quality degrades | 作战篇 — 胜久则钝 (prolonged = dull) | Force conclusion, start fresh with clearer instructions |
| Hallucinations | 用间篇 — 信息不足 | Require sources, cross-verify with 3+ independent sources |
| Agent argues with user | 九变篇 — 忿速 (quick temper fault) | Calmly restate goal, remind "complete > perfect" |
| Never completes task | 九变篇 — 必生 (cowardly fault) | Set deadline, force output, accept "good enough" |
| Wastes tokens on details | 虚实篇 — 未避实击虚 | Redirect: you handle nuance, agent handles bulk |
| Multi-agent chaos | 兵势篇 — 无势 (no momentum) | Restructure: each agent output → next agent input |
| Wrong direction | 始计篇 — 未先知 (didn't know first) | Stop, reassess with 五事七计,then restart |
flowchart TD
A[Task Arrives] --> B{Can I do this<br/>in <5 min?}
B -->|Yes| C[Do It Yourself]
B -->|No| D{Task Clearly<br/>Defined?}
D -->|No| E[始计篇: Plan First]
D -->|Yes| F{Token Budget?}
F -->|Low <10k| G[谋攻篇: Single Agent]
F -->|High| H[兵势篇: Multi-Agent]
G --> I{Risk if Wrong?}
H --> I
I -->|High| J[军形篇: Defense + Validation]
I -->|Low| K[作战篇: Speed Priority]
J --> L[Deploy with Success Criteria]
K --> L
L --> M{Monitor:行军篇}
M -->|Drift Detected| N[Intervene/Redirect]
M -->|On Track| O[Complete]
N --> M
O --> P[用间篇: Cross-Verify]
P --> Q[Done]知彼知己,百战不殆
"Know the enemy and know yourself; in a hundred battles you will never be defeated."
知彼 = Understand the task deeply 知己 = Know your agents' capabilities and limits
Agent deployment is war by other means. Treat it seriously. Plan thoroughly. Execute decisively. Review honestly.
| File | Purpose |
|---|---|
SKILL.md | This file — core principles and quick reference |
references/thirteen-chapters.md | Deep dive: each chapter's full agent mapping |
scripts/assess-task.py | Interactive 五事七计 assessment tool |
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts, references) in skills/art-of-war-agents of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Art Of War Agents next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Art Of War Agents this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~5k | Automated safety check: Pass | MIT | |
| Fable Foremanolsenbrands/fable-foreman | 143 | — | ~5.2k | Automated safety check: Pass | MIT | |
| Long Horizon Promptingguanyang/open-agent-hub | 977 | 1 repos | ~6.4k | Automated safety check: Pass | MIT | |
| Orca CLIstablyai/orca | 89k | 2 repos | ~593 | Automated safety check: Pass | MIT | |
| Paseo Advisor Second Opiniongetpaseo/paseo | 20k | 1 repos | ~756 | Automated safety check: Pass | Custom licence | |
| O2 Review Loopopenobserve/openobserve | 22k | — | ~3.7k | Automated safety check: Pass | AGPL-3.0 |
olsenbrands/fable-foreman
Turns the lead model into a foreman that plans, routes and verifies while cheaper Claude, Codex or Grok workers do the typing, using a per-machine routing card.
guanyang/open-agent-hub
This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal…
stablyai/orca
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser…
getpaseo/paseo
Launches one separate agent through Paseo to give a second opinion on the current task, with a self-contained briefing and no permission to edit files.
openobserve/openobserve
Splits a change into planner, coder and independent reviewer roles: you confirm a spec, a subagent implements it, and a separate reviewer checks each round's local WIP commit.
getpaseo/paseo
Forms a two-agent committee with contrasting profiles to analyze a stuck problem in parallel, reconcile their views and return a consensus plan without editing files.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Categories
Apply Sun Tzu's Art of War to AI agent orchestration. An agent skill from LeoYeAI/openclaw-master-skills. Art Of War Agents is an agent skill from LeoYeAI/openclaw-master-skills. Apply Sun Tzu's Art of War to AI agent orchestration.
Art Of War Agents fits situations like: : task assessment (五事七计); deployment decisions; multi-agent strategy; token cost optimization.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill art-of-war-agents -a claude-code`. Or copy the skill folder (skills/art-of-war-agents in LeoYeAI/openclaw-master-skills) into .claude/skills/art-of-war-agents in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill art-of-war-agents -a codex`. Or copy the skill folder (skills/art-of-war-agents in LeoYeAI/openclaw-master-skills) into .agents/skills/art-of-war-agents in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill art-of-war-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/art-of-war-agents, .gemini/skills/art-of-war-agents, .github/skills/art-of-war-agents and .opencode/skills/art-of-war-agents in your project.
Going by SKILL.md and its folder, Art Of War Agents needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Art Of War Agents is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Art Of War Agents: Fable Foreman (olsenbrands/fable-foreman, 143 stars), Long Horizon Prompting (guanyang/open-agent-hub, 977 stars), Orca CLI (stablyai/orca, 89k stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.