Awesome-omni-skill consensus-voting
Byzantine consensus voting for multi-agent decision making. Implements voting protocols, conflict resolution, and agreement algorithms for reaching consensus among multiple agents.
git clone https://github.com/diegosouzapw/awesome-omni-skill
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data-ai/consensus-voting" ~/.claude/skills/diegosouzapw-awesome-omni-skill-consensus-voting && rm -rf "$T"
skills/data-ai/consensus-voting/SKILL.mdConsensus Voting Skill
<identity> Consensus Voting Skill - Implements voting protocols and conflict resolution algorithms for reaching consensus among multiple agents with potentially conflicting recommendations. </identity> <capabilities> - Collecting votes from multiple agents - Weighted voting based on expertise - Conflict detection and resolution - Quorum verification - Decision documentation </capabilities> <instructions> <execution_process>Step 1: Define Voting Parameters
Set up the voting session:
voting_session: topic: 'Which database to use for the new service' options: - PostgreSQL - MongoDB - DynamoDB quorum: 3 # Minimum votes required threshold: 0.6 # 60% agreement needed weights: database-architect: 2.0 # Expert gets 2x weight security-architect: 1.0 devops: 1.5
Step 2: Collect Votes
Gather agent recommendations:
## Vote Collection ### database-architect (weight: 2.0) - Vote: PostgreSQL - Rationale: Strong ACID guarantees, mature ecosystem - Confidence: 0.9 ### security-architect (weight: 1.0) - Vote: PostgreSQL - Rationale: Better encryption at rest, audit logging - Confidence: 0.8 ### devops (weight: 1.5) - Vote: DynamoDB - Rationale: Managed service, auto-scaling - Confidence: 0.7
Step 3: Calculate Consensus
Apply weighted voting:
PostgreSQL: (2.0 * 0.9) + (1.0 * 0.8) = 2.6 DynamoDB: (1.5 * 0.7) = 1.05 MongoDB: 0 Total weight: 4.5 PostgreSQL: 2.6 / 4.5 = 57.8% DynamoDB: 1.05 / 4.5 = 23.3% Threshold: 60% → No clear consensus
Step 4: Resolve Conflicts
When no consensus is reached:
Strategy 1: Expert Override
- If domain expert has strong opinion (>0.8 confidence), defer to expert
Strategy 2: Discussion Round
- Ask dissenting agents to respond to majority arguments
- Re-vote after discussion
Strategy 3: Escalation
- Present options to user with pros/cons from each agent
- Let user make final decision
Step 5: Document Decision
Record the final decision:
## Decision Record ### Topic Which database to use for the new service ### Decision PostgreSQL ### Voting Summary - PostgreSQL: 57.8% (2 votes) - DynamoDB: 23.3% (1 vote) - Consensus: NOT REACHED (below 60% threshold) ### Resolution Method Expert override - database-architect (domain expert) had 0.9 confidence in PostgreSQL ### Dissenting Opinion DevOps preferred DynamoDB for operational simplicity. Mitigation: Will use managed PostgreSQL (RDS) to reduce operational burden. ### Decision Date 2026-01-23
</execution_process>
<best_practices>
- Quorum Required: Don't decide without minimum participation
- Weight by Expertise: Domain experts get more influence
- Document Dissent: Record minority opinions for future reference
- Clear Thresholds: Define what constitutes consensus upfront
- Escalation Path: Have a process for unresolved conflicts
</best_practices> </instructions>
<examples> <usage_example> **Conflict Resolution Request**:The architect wants microservices but the developer prefers monolith. Resolve this conflict.
Voting Process:
## Voting: Architecture Style ### Votes - architect: Microservices (weight 1.5, confidence 0.8) - developer: Monolith (weight 1.0, confidence 0.9) - devops: Microservices (weight 1.0, confidence 0.6) ### Calculation Microservices: (1.5 _ 0.8) + (1.0 _ 0.6) = 1.8 Monolith: (1.0 \* 0.9) = 0.9 Microservices: 66.7% → CONSENSUS REACHED ### Decision Microservices, with modular monolith as migration path ### Dissent Mitigation Start with modular monolith, extract services incrementally to address developer's maintainability concerns.
</usage_example> </examples>
Rules
- Always require quorum before deciding
- Weight votes by domain expertise
- Document dissenting opinions for future reference
Related Workflow
This skill has a corresponding workflow for complex multi-agent scenarios:
- Workflow:
.claude/workflows/consensus-voting-skill-workflow.md - When to use workflow: For critical multi-agent decisions requiring Byzantine fault-tolerant consensus with Queen/Worker topology (architectural decisions, security reviews, technology selection)
- When to use skill directly: For simple voting scenarios or when integrating consensus into other workflows
Workflow Integration
This skill enables decision-making in multi-agent orchestration:
Router Decision:
.claude/workflows/core/router-decision.md
- Router spawns multiple reviewers, then uses consensus to resolve conflicts
- Planning Orchestration Matrix triggers consensus voting for review phases
Artifact Lifecycle:
.claude/workflows/core/skill-lifecycle.md
- Consensus voting determines artifact deprecation decisions
- Multiple maintainers vote on breaking changes
Related Workflows:
skill for parallel agent spawning before votingswarm-coordination- Enterprise workflows use consensus for design reviews
- Security reviews in
require security-architect consensus.claude/workflows/enterprise/
Memory Protocol (MANDATORY)
Before starting:
cat .claude/context/memory/learnings.md
After completing:
- New pattern ->
.claude/context/memory/learnings.md - Issue found ->
.claude/context/memory/issues.md - Decision made ->
.claude/context/memory/decisions.md
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.