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swarm-intelligencelisted

Federated Swarm Intelligence for collective learning across Artibot instances. Shares anonymized learning patterns (tool success rates, team compositions, workflow effectiveness) with the swarm network while preserving privacy through PII scrubbing and differential privacy. Enables all participants to benefit from collective experience without exposing individual data. Triggers: swarm, collective, federated, sync patterns, share learning, opt-in, contribution, 스웜, 집단지성
Yoodaddy0311/artibot · ★ 3 · AI & Automation · score 72
Install: claude install-skill Yoodaddy0311/artibot
# Federated Swarm Intelligence ## When This Skill Applies - User wants to understand or participate in collective learning across Artibot instances - Checking contribution stats or sync status via `/swarm` - Understanding how pattern sharing works with privacy protections - Configuring swarm participation settings ## Core Guidance ### What Is Swarm Intelligence? Federated learning approach where individual Artibot instances share anonymized learning patterns. Each instance contributes its local experience (what works, what fails) to a global pool, and in return receives the collective wisdom of all participants. **Analogy**: Like a beehive where each bee shares information about flower locations without revealing its home. ### Data Flow ``` Local Patterns → PII Scrubber → Differential Privacy → Upload → Server Aggregation | Local Merge ← Weight Conversion ← Integrity Check ← Download ←--------+ ``` ### What Gets Shared | Category | Local Data | Shared Form | |----------|-----------|-------------| | Tool Usage | WebSearch: 92% success | `tools.WebSearch: {successRate: 0.92}` | | Workflows | "campaign took 45m, 3 agents" | `workflows.campaign: {effectiveness: 0.85}` | | Commands | "mkt used 30 times/session" | `commands.mkt: {frequency: 0.8, satisfaction: 0.9}` | | Teams | "swarm pattern, 4 agents" | `teams.swarm: {effectiveness: 0.88, optimalSize: 4}` | ### Privacy Protections 1. **PII Scrubber**