const vectorAgent = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/cli-explore-agent.md (MUST read first)
---
## Context
Topic: ${idea_or_topic}
User focus areas: ${userFocusAreas.join(', ')}
Constraints: ${constraints.join(', ')}
## Task
Generate 5-7 exploration vectors (questions/directions) to expand this idea:
1. Core question: What is the fundamental problem/opportunity?
2. User perspective: Who benefits and how?
3. Technical angle: What enables this technically?
4. Alternative approaches: What other ways could this be solved?
5. Challenges: What could go wrong or block success?
6. Innovation angle: What would make this 10x better?
7. Integration: How does this fit with existing systems/processes?
## Deliverables
Return structured exploration vectors for multi-perspective analysis.
`
})
const result = wait({ ids: [vectorAgent], timeout_ms: 120000 })
close_agent({ id: vectorAgent })
// Continue with existing agent context
send_input({
id: perspectiveAgent, // Reuse agent from Phase 2 if not closed
message: `
## CONTINUATION: Deep Dive Analysis
Based on your initial exploration, the user wants deeper investigation on these ideas:
${selectedIdeas.map((idea, i) => `${i+1}. ${idea.title}`).join('\n')}
## Deep Dive Tasks
• Elaborate each concept in detail
• Identify implementation requirements and dependencies
• Analyze potential challenges and propose mitigations
• Suggest proof-of-concept approach
• Define success metrics
## Deliverables
Write to: ${sessionFolder}/ideas/{idea-slug}.md for each selected idea
## Success Criteria
- [ ] Each idea has detailed breakdown
- [ ] Technical requirements documented
- [ ] Risk analysis with mitigations
`
})
const deepDiveResult = wait({ ids: [perspectiveAgent], timeout_ms: 600000 })
选项 B：生成新的深度挖掘智能体（如果之前的智能体已关闭）
const deepDiveAgent = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/cli-explore-agent.md (MUST read first)
2. Read: ${sessionFolder}/perspectives.json (prior findings)
3. Run: `ccw spec load --category "exploration planning"`
---
## Deep Dive Context
Topic: ${idea_or_topic}
Selected Ideas: ${selectedIdeas.map(i => i.title).join(', ')}
## Deep Dive Tasks
${selectedIdeas.map(idea => `
### ${idea.title}
• Elaborate the core concept in detail
• Identify implementation requirements
• List potential challenges and mitigations
• Suggest proof-of-concept approach
• Define success metrics
`).join('\n')}
## Deliverables
Write: ${sessionFolder}/ideas/{idea-slug}.md for each idea
Include for each:
- Detailed concept description
- Technical requirements list
- Risk/challenge matrix
- MVP definition
- Success criteria
`
})
const result = wait({ ids: [deepDiveAgent], timeout_ms: 600000 })
close_agent({ id: deepDiveAgent })
步骤 3.3：唱反调者挑战（生成新智能体）
当用户选择“挑战”时，生成一个专门的挑战智能体。
const challengeAgent = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/cli-explore-agent.md (MUST read first)
2. Read: ${sessionFolder}/perspectives.json (ideas to challenge)
---
## Challenge Context
Topic: ${idea_or_topic}
Ideas to Challenge:
${selectedIdeas.map((idea, i) => `${i+1}. ${idea.title}: ${idea.description}`).join('\n')}
## Devil's Advocate Tasks
• For each idea, identify 3 strongest objections
• Challenge core assumptions
• Identify scenarios where this fails
• Consider competitive/alternative solutions
• Assess whether this solves the right problem
• Rate survivability after challenge (1-5)
## Deliverables
Return structured challenge results:
{
challenges: [{
idea: "...",
objections: [],
challenged_assumptions: [],
failure_scenarios: [],
alternatives: [],
survivability_rating: 1-5,
strengthened_version: "..."
}]
}
## Success Criteria
- [ ] 3+ objections per idea
- [ ] Assumptions explicitly challenged
- [ ] Survivability ratings assigned
`
})
const result = wait({ ids: [challengeAgent], timeout_ms: 300000 })
close_agent({ id: challengeAgent })
步骤 3.4：合并多个想法（生成合并智能体）
当用户选择“合并”时，综合互补的想法。
const mergeAgent = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/cli-explore-agent.md (MUST read first)
2. Read: ${sessionFolder}/perspectives.json (source ideas)
---
## Merge Context
Topic: ${idea_or_topic}
Ideas to Merge:
${selectedIdeas.map((idea, i) => `
${i+1}. ${idea.title} (${idea.source_perspective})
${idea.description}
Strengths: ${idea.strengths?.join(', ') || 'N/A'}
`).join('\n')}
## Merge Tasks
• Identify complementary elements
• Resolve contradictions
• Create unified concept
• Preserve key strengths from each
• Describe the merged solution
• Assess viability of merged idea
## Deliverables
Write to: ${sessionFolder}/ideas/merged-idea-{n}.md
Include:
- Merged concept description
- Elements taken from each source idea
- Contradictions resolved (or noted as tradeoffs)
- New combined strengths
- Implementation considerations
## Success Criteria
- [ ] Coherent merged concept
- [ ] Source attributions clear
- [ ] Contradictions addressed
`
})
const result = wait({ ids: [mergeAgent], timeout_ms: 300000 })
close_agent({ id: mergeAgent })
