Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
Install with Tessl CLI
npx tessl i github:ruvnet/agentic-flow --skill hive-mind-advanced41
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
Collective memory API usage
knowledge type for insights
100%
100%
context type for session data
100%
100%
task type for intermediate results
100%
100%
error type for error events
100%
100%
confidence metadata on store
100%
100%
search with minConfidence
100%
100%
search with limit option
100%
100%
wildcard search pattern
100%
100%
getRelated call
100%
100%
associate call with strength
100%
100%
enablePooling config
100%
100%
enableAsyncOperations config
100%
100%
Without context: $1.7510 · 6m 45s · 73 turns · 77 in / 19,206 out tokens
With context: $1.0093 · 2s · 1 turns · 3 in / 28 out tokens
Hive mind CLI and configuration
init command present
0%
100%
spawn command present
0%
100%
correct queen type
0%
100%
byzantine consensus
30%
100%
claude flag used
0%
100%
monitoring commands
42%
100%
config queenType field
0%
100%
config consensusAlgorithm field
0%
100%
config autoScale field
0%
100%
config scaleUp/Down thresholds
12%
100%
Task() format in agent-commands
0%
100%
six or more agent roles
100%
100%
Without context: $0.2608 · 1m 33s · 14 turns · 21 in / 5,045 out tokens
With context: $0.4714 · 1m 31s · 21 turns · 26 in / 5,078 out tokens
Custom worker types and session management
YAML files in .claude/agents/
100%
100%
YAML name field
100%
100%
YAML capabilities list
100%
100%
YAML priority field
0%
100%
saveCheckpoint at milestones
22%
100%
saveCheckpoint data object
14%
100%
session pause and resume
37%
100%
buildConsensus call
11%
100%
consensus result fields used
12%
100%
tactical queen for audit
0%
100%
session export command
33%
100%
byzantine consensus for go/no-go
100%
100%
Without context: $4.5257 · 3s · 1 turns · 3 in / 40 out tokens
With context: $0.8190 · 3m 48s · 35 turns · 326 in / 9,420 out tokens
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.