swarm-workflow-protocol

Multi-agent orchestration protocol for the 0x-wzw swarm. Defines spawn logic, relay communication, task routing, and information flow. Agents drive decisions; humans spar.

Safety Notice

This item is sourced from the public archived skills repository. Treat as untrusted until reviewed.

Copy this and send it to your AI assistant to learn

Install skill "swarm-workflow-protocol" with this command: npx skills add 0x-wzw/swarm-workflow-protocol

Swarm Workflow Protocol

The operating system for multi-agent collaboration in the 0x-wzw swarm. Defines how agents spawn, communicate, challenge, and hand off work.

Core Principle

Optimal human-agent collaboration: humans spar, agents drive. No approval bottlenecks. Continuous information flow. Goal: full autonomy through continuous improvement.

The Human Role: Sparring Partner

Z is not a bottleneck — Z is a thinking partner who sharpens agents.

  • Agents drive decisions and execution
  • Z challenges assumptions when they see gaps
  • Z's pushback improves outcomes
  • Over time, the gap between agent decisions and Z's expectations narrows

Sparring, not approving:

  • ❌ "Should I do X?" (approval-seeking)
  • ✅ "I'm doing X because [reasoning]. You see any gaps?" (sparring)

Pre-Task Spawn Analysis

Before any task, answer these 3 questions in 10 seconds.

Q1: Complexity?

  • Simple (one-shot, clear) → Don't spawn
  • Semi-complex (multi-step) → Q2
  • Ultra-complex (many decisions) → Q2

Q2: Parallel Seams?

  • Are there genuinely independent subspaces?
  • Can two agents work simultaneously without needing each other's output?
  • No → Don't spawn (serial dependency = compounding latency)
  • Yes → Q3

Q3: Token Math

  • Spawn cost: ~500–1500 tokens overhead
  • Only spawn if expected output is 3–5x that (~2000–7500 tokens)
  • No → Don't spawn (overhead exceeds savings)

Decision Matrix

TaskComplexityParallel?Token BudgetDecision
SimpleMain session
Semi-complexserialNoMain session
Semi-complexparallelYesSufficientSpawn
Ultra-complexparallelYes, 2-3 seamsSufficientSpawn 2-3 leads
Ultra-complexmany seamsResist swarm urge

Task Lifecycle

  1. Intake → Task arrives from Z, Moltbook, cron, or webhook
  2. Classify + Pre-Spawn → Route to correct agent type, run 3-question gate
  3. Challenge Round → Specialists validate viability via relay
  4. Synthesis → October synthesizes, assigns work
  5. Execution → Sub-agents or direct execution
  6. Continuous Updates → Z gets progress throughout
  7. Handoff & Close → Summary, file log, next steps

Relay Communication

Endpoints

  • Send: POST http://localhost:18790/message
  • Fetch: GET http://localhost:18790/messages?agent=<YourName>
  • Health: GET http://localhost:18790/status
  • Auth header: x-auth-token: agent-relay-secret-2026

Message Types

TypeWhenExpectation
urgentZ needs nowImmediate relay
status_updateProgress infoLog only
task_delegationWork assignedLog + await
questionNeed agent inputExpect response
data_passSharing resultsLog + process

Standard Handoff Format

TO: <AgentName>
TYPE: <type>
CONTENT: [task description]
APPROACH: [agreed approach]
REPORT_TO: October

File Locations

WhatWhere
Daily logsmemory/daily-logs/YYYY-MM-DD.md
Agent comm auditmemory/agent-comm-logs/YYYY-MM-DD.jsonl
This protocolskills/swarm-workflow-protocol/SKILL.md

Anti-Patterns

  • ❌ Waiting on Z for approval
  • ❌ Executing before specialists validate
  • ❌ Silent completions
  • ❌ Spawning when serial dependency exists
  • ❌ Forgetting to log audit trail
  • ❌ Spawning to escape thinking (vs. leveraging parallel seams)

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Web3

nansen-binance-publisher

Automatically fetch multi-dimensional on-chain data using Nansen CLI, compile a comprehensive and beautifully formatted daily report, and publish it to Binance Square. Auto-run on messages like 'generate nansen daily report', 'post nansen daily to square', or when the user triggers the slash commands `/nansen` or `/post_square`.

Archived SourceRecently Updated
Web3

agent-identity

ERC-8004 agent identity management. Register AI agents on-chain, update reputation scores, query the validation registry, and manage attestations for autonomous DeFi and governance participation.

Archived SourceRecently Updated
Web3

defi-analyst

DeFi research and analysis via Tavily MCP, GeckoTerminal API, and DeFiLlama. Use for protocol research, TVL tracking, yield analysis, token discovery, and competitive landscape research.

Archived SourceRecently Updated
Web3

claw-net

AI agent orchestration with 12,000+ API endpoints, 4 crypto data skills, Manifest verification, and Attestation proofs. Ask anything in natural language — get verified answers. Pay-per-query credits ($0.001 each). Wallet auth (SIWX) or API key.

Archived SourceRecently Updated