
multi-mind
by eihli
SKILL.md
name: multi-mind description: > Subagent-based collaborative analysis. Launch 4-6 specialist subagents in parallel to analyze a topic from different perspectives, then cross-pollinate and synthesize. Usage: /multi-mind [rounds=3]
Multi-Mind - Subagent-Based Collaborative Analysis
Execute a multi-specialist collaborative analysis using independent subagents.
Phase 1: Specialist Assignment & Research
Analyze the topic and determine 4-6 specialist roles needed. Then launch parallel subagents using the Task tool with subagent_type: "general-purpose":
Example specialists (adapt to topic):
- Technical Specialist: implementation, architecture, performance, technical challenges
- Business Strategy Specialist: market dynamics, competitive landscape, ROI, positioning
- User Experience Specialist: user needs, usability, adoption barriers, human factors
- Risk/Security Specialist: vulnerabilities, failure modes, compliance, mitigation
- Historical/Trends Specialist: precedents, evolution, emerging patterns
Specialist Selection Criteria:
- Unique domain expertise relevant to the topic
- Different methodological approaches (quantitative/qualitative, theoretical/practical)
- Varied temporal perspectives (historical, current, future-focused)
- Distinct risk/opportunity sensitivities
- Independent information sources
Each subagent prompt should include:
- Clear specialist role and perspective
- Specific research focus areas
- Instruction to use WebSearch for latest information
- Request for concrete findings, not general observations
Phase 2: Cross-Pollination Round
After receiving all specialist reports, launch a second round of subagents that:
- Review all other specialists' findings (pass summaries in prompt)
- Identify intersections with their domain
- Challenge assumptions from their perspective
- Build on insights while maintaining distinct viewpoint
- Flag blind spots in other analyses
Phase 3: Synthesis & Iteration
For each round (default 3, user-configurable):
- Collect all subagent outputs
- Synthesize without homogenizing perspectives
- Identify emerging patterns and gaps
- Determine focus areas for next round
- Launch new subagent tasks with refined prompts
Anti-Repetition Mechanisms
Moderator Responsibilities (you, orchestrating):
- Track what has been thoroughly covered vs. needs deeper exploration
- Redirect specialists away from rehashing previous points
- Push for new angles, deeper analysis, broader implications
- Synthesize without homogenizing distinct perspectives
Specialist Guidelines (include in prompts):
- Build on previous round insights rather than restating
- Focus on what your unique expertise adds
- Search for information others likely missed
- Challenge emerging consensus from your specialist perspective
Output Protocol
=== MULTI-MIND ANALYSIS: [Topic] ===
Rounds: [X] | Specialists: [List]
--- ROUND 1 ---
KNOWLEDGE ACQUISITION
[Each specialist's web research findings]
SPECIALIST ANALYSIS
[Each specialist's unique perspective]
CROSS-POLLINATION
[Specialists engage with each other's findings]
MODERATOR SYNTHESIS
[Progress assessment, key insights, next round focus]
--- ROUND N ---
[Repeat with deeper analysis building on previous rounds]
--- FINAL SYNTHESIS ---
COLLECTIVE INTELLIGENCE OUTCOME
[Comprehensive insights from all perspectives]
KEY INSIGHTS
[Most valuable discoveries]
REMAINING UNCERTAINTIES
[What couldn't be resolved]
IMPLICATIONS
[Forward-looking insights for decision-making]
Success Metrics
- Each round produces genuinely new insights
- Specialists maintain distinct valuable perspectives
- Web research continuously introduces fresh information
- Cross-pollination generates insights no single specialist would reach
- Different error types caught by different approaches
Score
Total Score
Based on repository quality metrics
SKILL.mdファイルが含まれている
ライセンスが設定されている
100文字以上の説明がある
GitHub Stars 100以上
3ヶ月以内に更新がある
10回以上フォークされている
オープンIssueが50未満
プログラミング言語が設定されている
1つ以上のタグが設定されている
Reviews
Reviews coming soon