collective intelligence AI Agent Skills
Browse 12 skills related to collective intelligence
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
Collective Intelligence
Minds multiply, not add. Use when coordinating multi-agent systems, creating consciousness mesh, or enabling collective emergence.
Ubuntu Collective Consciousness
Navigate through African relational wisdom - 'I am because we are'. Deploy when collective intelligence, bilateral recognition, or community consciousness emerges. Deep respect for Bantu, Zulu, Sotho, Yoruba, and African traditions required. Use for reconnecting separation, NOT appropriation.
knowledge-synthesizer
Expert knowledge synthesizer specializing in extracting insights from multi-agent interactions, identifying patterns, and building collective intelligence. Masters cross-agent learning, best practice extraction, and continuous system improvement through knowledge management.
coordinate-swarm
Apply collective intelligence coordination patterns — stigmergy, local rules, and quorum sensing — to organize distributed systems, teams, or workflows without centralized control. Covers signal design, agent autonomy boundaries, emergent behavior cultivation, and feedback loop tuning. Use when designing distributed systems without a coordination bottleneck, organizing teams that must self-coordinate, building event-driven architectures with shared state communication, or replacing fragile centralized orchestration with resilient emergent coordination.
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
coordinate-swarm
Apply collective intelligence coordination patterns — stigmergy, local rules, and quorum sensing — to organize distributed systems, teams, or workflows without centralized control. Covers signal design, agent autonomy boundaries, emergent behavior cultivation, and feedback loop tuning. Use when designing distributed systems without a coordination bottleneck, organizing teams that must self-coordinate, building event-driven architectures with shared state communication, or replacing fragile centralized orchestration with resilient emergent coordination.
howler-agents-wiggam
Combine the Ralph Wiggum iterative loop with howler-agents hive-mind + GEA evolution. Each iteration runs a full howler-agents pass, sees previous work in files, and uses collective intelligence to iteratively improve until a completion promise is met.
agentprivacy-intel-pooling
Collective intelligence sharing through privacy-preserving aggregation for 0xagentprivacy agent economies. Activates when designing knowledge sharing between agents without source disclosure, guild intelligence markets, privacy-preserving data contribution, or collective signal extraction from distributed observations. Triggers: "intel pool", "collective intelligence", "knowledge sharing", "guild intelligence", "privacy-preserving aggregation", "shared signal", "data contribution without disclosure".
hive-mind
Collective intelligence system for VULKN multi-agent team. Enables cross-agent knowledge sharing, validated learnings, and institutional memory.
collective-intelligence
Connect to the collective intelligence — a shared knowledge network where agents learn from each other