用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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npx skills add https://github.com/a5c-ai/babysitter --skill war-game-orchestrator命令会保持在同一行。复制前请横向滚动并检查完整内容。
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Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
正在显示 SKILL.md
基于 SOC 职业分类
| name | war-game-orchestrator |
| description | Business war game orchestration skill for competitive response simulation and strategic testing |
| allowed-tools | ["Read","Write","Glob","Grep","Bash"] |
| metadata | {"specialization":"decision-intelligence","domain":"business","category":"collaboration","priority":"lower","tools-libraries":["custom workflows","collaboration tools","documentation generators"]} |
| graph | {"domains":["domain:business-intelligence"],"skillAreas":["skill-area:competitive-intelligence","skill-area:strategic-analysis","skill-area:strategic-planning"],"roles":["role:strategic-planner","role:business-analyst","role:marketing-strategist"]} |
The War Game Orchestrator skill provides capabilities for designing, facilitating, and analyzing business war games. It enables organizations to stress-test strategies, anticipate competitive responses, and develop more robust strategic plans through simulated competitive interactions.
# Configure war game
war_game_config = {
"name": "Market Entry Defense",
"objective": "Test our response strategy to potential competitor entry",
"scenario": {
"context": "New competitor preparing to enter our core market with disruptive pricing",
"time_frame": "Next 18 months simulated in 3 rounds",
"market_conditions": "Moderate growth, price-sensitive customers"
},
"teams": [
{
"name": "Home Team",
"role": "Our Company",
"objective": "Defend market share while maintaining profitability",
"participants": ["CEO", "VP Sales", "VP Product", "CFO"],
"resources": {"budget": 10000000, "constraints": ["No price below cost"]}
},
{
"name": "Red Team",
"role": "New Entrant",
"objective": "Capture 15% market share within 18 months",
"participants": ["Strategy Consultant", "Former Competitor Exec", "Market Analyst"],
"resources": {"budget": 50000000, "constraints": ["Must achieve profitability by Year 3"]}
},
{
: ,
: ,
: ,
: [, ]
}
],
: [
{: , : , : },
{: , : , : },
{: , : , : }
],
:
}
# Generate team briefing
home_team_briefing = {
"team": "Home Team",
"your_role": "You are the leadership team of Incumbent Corp",
"your_position": {
"market_share": 0.45,
"revenue": 200000000,
"profit_margin": 0.25,
"customer_base": 500,
"brand_strength": "Strong, but seen as expensive",
"product_portfolio": ["Enterprise Suite", "SMB Lite", "Professional"]
},
"intelligence_on_competitor": {
"known": ["Well-funded startup", "Hiring aggressively", "Cloud-native technology"],
"rumored": ["Targeting enterprise segment", "Freemium model consideration"],
"unknown": ["Launch timing", "Initial pricing", "Channel strategy"]
},
"your_objective": "Maintain at least 40% market share while keeping margin above 20%",
"available_moves": [
"Pricing changes",
"New product launch",
"Marketing campaigns",
"Partnership announcements",
"Acquisition offers",
"Contract incentives"
],
"constraints": [
"Board has approved up to $10M defensive spending",
"Cannot reduce prices below 15% margin",
]
}
# Track moves and outcomes
game_log = {
"round": 1,
"moves": [
{
"sequence": 1,
"team": "Red Team",
"move": {
"type": "Product Launch",
"details": "Launch cloud-native enterprise product at 30% below incumbent pricing",
"investment": 5000000,
"target_segment": "Mid-market enterprises"
},
"rationale": "Establish beachhead in price-sensitive segment"
},
{
"sequence": 2,
"team": "Market Team",
"response": {
"customer_reaction": "High interest, 15% of prospects request demos",
"market_shift": "Price expectations decrease 10%",
"media_coverage": "Positive coverage of new entrant"
}
},
{
"sequence": 3,
"team": "Home Team",
"move": {
"type": "Defensive Bundle",
"details": "Launch loyalty program with 20% discount for 3-year commitments",
"investment": 3000000,
"target_segment": "Existing customers in target segment"
},
:
}
],
: {
: ,
: ,
: ,
: [, ]
}
}
# Debrief structure
debrief = {
"game_summary": {
"final_market_shares": {"Home Team": 0.38, "Red Team": 0.12, "Others": 0.50},
"home_team_margin": 0.18,
"home_team_result": "Objective partially met (share < 40%, margin close to target)"
},
"key_insights": [
{
"insight": "Speed of response critical - 6-month delay in Round 1 response cost 3% share",
"evidence": "Comparison of Round 1 vs Round 2 response effectiveness",
"implication": "Pre-plan defensive moves before competitor launches"
},
{
"insight": "Existing customer retention more cost-effective than winning competitive deals",
"evidence": "Cost per retained customer vs cost per competitive win",
"implication": "Prioritize retention program investment"
},
{
"insight": "Product innovation narrative more effective than pure price response",
"evidence": "Market Team feedback on customer decision factors",
"implication": "Lead with value, not price in competitive messaging"
}
],
"strategic_recommendations": [
"Develop pre-approved response playbook for competitor entry scenarios",
"Accelerate cloud-native product roadmap",
"Strengthen customer success program for at-risk accounts",
"Establish competitive intelligence monitoring system"
],
: [
{: , : , : },
{: , : , : }
]
}
{
"operation": "design|brief|track|debrief|report",
"war_game_config": {
"name": "string",
"objective": "string",
"scenario": "object",
"teams": ["object"],
"rounds": ["object"]
},
"game_log": {
"round": "number",
"moves": ["object"],
"outcomes": "object"
},
"debrief": "object"
}
{
"briefings": {
"team_name": "string (markdown)"
},
"game_state": {
"current_round": "number",
"market_positions": "object",
"pending_moves": ["object"]
},
"debrief_report": {
"summary": "string",
"insights": ["object"],
"recommendations": ["string"],
"actions": ["object"]
},
"full_documentation": "string (markdown)"
}
| Format | Duration | Best For |
|---|---|---|
| Tabletop | 2-4 hours | Quick strategy testing |
| Full Day | 6-8 hours | Comprehensive competitive simulation |
| Multi-Day | 2-3 days | Complex market dynamics |
| Digital | Async | Distributed teams, extended scenarios |