[define|neutral] SKILL := { name: "SKILL", category: "platforms", version: "1.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed]

[define|neutral] COGNITIVE_FRAME := { frame: "Compositional", source: "German", force: "Build from primitives?" } [ground:cognitive-science] [conf:0.92] [state:confirmed]

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

[define|neutral] TRIGGER_POSITIVE := { keywords: ["SKILL", "platforms", "workflow"], context: "user needs SKILL capability" } [ground:given] [conf:1.0] [state:confirmed]

Flow Nexus Cloud Swarm Deployment SOP

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

metadata:
  skill_name: when-deploying-cloud-swarm-use-flow-nexus-swarm
  version: 1.0.0
  category: platform-integration
  difficulty: advanced
  estimated_duration: 40-70 minutes
  trigger_patterns:
    - "deploy cloud swarm"
    - "flow nexus swarm"
    - "distributed workflow"
    - "event-driven agents"
    - "cloud agent coordination"
  dependencies:
    - flow-nexus MCP server
    - Claude Flow hooks
    - E2B account (optional)
  agents:
    - hierarchical-coordinator (swarm orchestrator)
    - flow-nexus-swarm (cloud platform manager)
    - adaptive-coordinator (dynamic optimization)
  success_criteria:
    - Swarm initialized successfully
    - Agents deployed to cloud
    - Workflows executing correctly
    - Performance metrics tracked
    - Auto-scaling functional

Overview

Deploy cloud-based AI agent swarms with event-driven workflow automation using Flow Nexus platform. Supports hierarchical, mesh, ring, and star topologies with E2B sandbox distribution.

Prerequisites

Required:

• Flow Nexus MCP server installed
• Flow Nexus account (authenticated)
• Basic understanding of swarm patterns

Optional:

• E2B API key for cloud sandboxes
• Anthropic API key for Claude Code
• Existing workflow definitions

Verification:

# Check Flow Nexus availability
npx flow-nexus@latest --version

# Verify authentication
mcp__flow-nexus__auth_status

Agent Responsibilities

hierarchical-coordinator (Swarm Orchestrator)

Role: Coordinate multi-level swarm hierarchy, manage agent lifecycles, optimize task distribution

Expertise:

• Hierarchical swarm patterns
• Task decomposition
• Agent coordination
• Resource allocation

Output: Swarm topology, agent assignments, coordination protocols

flow-nexus-swarm (Cloud Platform Manager)

Role: Manage Flow Nexus platform integration, E2B sandbox deployment, cloud resources

Expertise:

• Flow Nexus platform APIs
• E2B sandbox management
• Cloud infrastructure
• Distributed systems

Output: Cloud deployment, sandbox configuration, resource management

adaptive-coordinator (Dynamic Optimization)

Role: Monitor swarm performance, adapt topology, optimize resource usage dynamically

Expertise:

• Performance monitoring
• Dynamic optimization
• Resource management
• Adaptive algorithms

Output: Performance metrics, optimization recommendations, scaling policies

Phase 1: Initialize Cloud Swarm

Objective: Initialize swarm with selected topology and agent configuration

Evidence-Based Validation:

• Swarm created successfully
• Topology configured correctly
• Swarm ID stored in memory
• Configuration validated

hierarchical-coordinator Actions:

# Pre-task coordination
npx claude-flow@alpha hooks pre-task --description "Initialize cloud swarm deployment"

# Restore session
npx claude-flow@alpha hooks session-restore --session-id "cloud-swarm-$(date +%s)"

# Create project structure
mkdir -p swarm/{config,agents,workflows,monitoring,docs}

# Design swarm topology
cat > swarm/config/topology.json << 'EOF'
{
  "topology": "hierarchical",
  "maxAgents": 8,
  "strategy": "adaptive",
  "roles": {
    "coordinator": {
      "count": 1,
      "capabilities": ["task_delegation", "monitoring", "optimization"]
    },
    "supervisor": {
      "count": 2,
      "capabilities": ["team_management", "task_execution", "reporting"]
    },
    "worker": {
      "count": 5,
      "capabilities": ["task_execution", "specialization"]
    }
  },
  "communication": {
    "protocol": "event-driven",
    "queue": "message-queue",
    "realtime": true
  }
}
EOF

# Post-edit hook
npx claude-flow@alpha hooks post-edit --file "swarm/config/topology.json" --memory-key "swarm/topology"

flow-nexus-swarm Actions:

# Initialize swarm on Flow Nexus platform
mcp__flow-nexus__swarm_init {


---
<!-- S4 SUCCESS CRITERIA                                                          -->
---

[define|neutral] SUCCESS_CRITERIA := {
  primary: "Skill execution completes successfully",
  quality: "Output meets quality thresholds",
  verification: "Results validated against requirements"
} [ground:given] [conf:1.0] [state:confirmed]

---
<!-- S5 MCP INTEGRATION                                                           -->
---

[define|neutral] MCP_INTEGRATION := {
  memory_mcp: "Store execution results and patterns",
  tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"]
} [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed]

---
<!-- S6 MEMORY NAMESPACE                                                          -->
---

[define|neutral] MEMORY_NAMESPACE := {
  pattern: "skills/platforms/SKILL/{project}/{timestamp}",
  store: ["executions", "decisions", "patterns"],
  retrieve: ["similar_tasks", "proven_patterns"]
} [ground:system-policy] [conf:1.0] [state:confirmed]

[define|neutral] MEMORY_TAGGING := {
  WHO: "SKILL-{session_id}",
  WHEN: "ISO8601_timestamp",
  PROJECT: "{project_name}",
  WHY: "skill-execution"
} [ground:system-policy] [conf:1.0] [state:confirmed]

---
<!-- S7 SKILL COMPLETION VERIFICATION                                             -->
---

[direct|emphatic] COMPLETION_CHECKLIST := {
  agent_spawning: "Spawn agents via Task()",
  registry_validation: "Use registry agents only",
  todowrite_called: "Track progress with TodoWrite",
  work_delegation: "Delegate to specialized agents"
} [ground:system-policy] [conf:1.0] [state:confirmed]

---
<!-- S8 ABSOLUTE RULES                                                            -->
---

[direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed]

---
<!-- PROMISE                                                                      -->
---

[commit|confident] <promise>SKILL_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]