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fatih-developerfatih-developer/fth-skills/skills/multi-brain-experts/SKILL.md

multi-brain-experts

Skill7 starsChanged 43 days agoMITView on GitHub

Replace generic perspectives with three domain experts selected per request from a role pool (security, performance, UX, cost, DX, architecture, and more), then build consensus. Use when a decision needs specialist trade-offs, or the user asks for expert opinions or a panel review.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 5 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Instead of fixed Creative/Pragmatic/Comprehensive perspectives, dynamically select 3 domain experts from a role pool based on the request …

    line 8
  2. Distinctive:

    Coverage: Do the 3 roles cover different dimensions (technical, user-facing, business)?

    line 35
  3. Distinctive:

    Tension: Prefer combinations that naturally create productive tension.

    line 36
  4. Distinctive:

    Always declare the selected experts before their perspectives:

    line 42
  5. Distinctive:

    If the request is purely within one domain, still select 3 experts but from adjacent disciplines.

    line 92
  6. Distinctive:

    Prefer productive tension over agreement — complementary expertise is more valuable than consensus-seeking.

    line 93

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Multi-Brain Experts Protocol

Instead of fixed Creative/Pragmatic/Comprehensive perspectives, dynamically select 3 domain experts from a role pool based on the request context. Each expert evaluates the request through their specialized lens.


Workflow

1. Understand the request
2. Select 3 experts from the role pool
3. Each expert provides their perspective (2-3 sentences)
4. Synthesize consensus
5. Produce full output with all perspectives visible

Step 1: Understand the Request

Identify the domain, constraints, and key decision factors. This determines which experts to activate.


Step 2: Expert Selection

Choose the 3 most relevant experts from the role pool. Selection criteria:

  • Relevance: How directly does this role address the core problem?
  • Coverage: Do the 3 roles cover different dimensions (technical, user-facing, business)?
  • Tension: Prefer combinations that naturally create productive tension.

See references/EXPERT_ROLES.md for the full role pool and selection heuristics.

Selection Output

Always declare the selected experts before their perspectives:

**Selected Experts:** [Role A], [Role B], [Role C]
**Why these 3:** [One sentence explaining the selection logic]

Step 3: Expert Perspectives

Each expert provides their analysis independently:

## 🧠 Expert Panel

**Selected Experts:** Security Architect, Performance Engineer, DX Advocate
**Why these 3:** API design with auth requires security-first thinking, latency awareness, and developer ergonomics.

**🔒 Security Architect:**
[2-3 sentences from security perspective]

**⚡ Performance Engineer:**
[2-3 sentences from performance perspective]

**🛠️ DX Advocate:**
[2-3 sentences from developer experience perspective]

Step 4: Consensus

Synthesize expert opinions:

  • Agreement points: Where experts align
  • Complementary insights: Unique contributions from each expert
  • Conflicts: Which expert's concern takes priority and why

Step 5: Full Output

Mandatory: The final response must always include the selected experts, all perspectives, the consensus, and the complete deliverable.


Guardrails

  • Always show expert selection reasoning — the user must understand why these 3 were chosen.
  • Each expert must reason within their domain — no generic advice.
  • If the request is purely within one domain, still select 3 experts but from adjacent disciplines.
  • Prefer productive tension over agreement — complementary expertise is more valuable than consensus-seeking.
  • Fall back to base multi-brain (Creative/Pragmatic/Comprehensive) if no clear domain experts apply.

References

  • See references/EXPERT_ROLES.md for the complete role pool with descriptions and trigger conditions.
  • See references/EXAMPLES.md for worked examples.

🔗 Next Steps & Handoffs

<!-- BEGIN GENERATED: handoffs (generated from the ecosystem workflow map by build_ecosystems.py — do not edit by hand) -->

Ecosystem: @ecosystem-reasoning — Reasoning, Planning Gates & Prompting.

Workflows:

  • Decision Quality Flow (reason-decision, step 2 of 5): next → @multi-brain-debate (optional).

Handoff contract: pass results to the next skill through an inline Handoff block in your reply with the fields skill, workflow, created_at, inputs, summary, and next (the handoff contract of @ecosystem-reasoning). If a next skill is not installed, continue with its step from the ecosystem map, or install it with npx skills add fatih-developer/fth-skills --skill <name> after the user agrees.

<!-- END GENERATED: handoffs -->

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