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flow-nexus-swarm

Orchestrate cloud-ready swarms on Flow Nexus with adaptive scaling, secure messaging, and validated deployment steps.

allowed_tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite
model: sonnet

$ Installieren

git clone https://github.com/DNYoussef/context-cascade /tmp/context-cascade && cp -r /tmp/context-cascade/skills/orchestration/flow-nexus-swarm ~/.claude/skills/context-cascade

// tip: Run this command in your terminal to install the skill


name: flow-nexus-swarm description: Orchestrate cloud-ready swarms on Flow Nexus with adaptive scaling, secure messaging, and validated deployment steps. allowed-tools: Read, Write, Edit, Bash, Glob, Grep, Task, TodoWrite model: sonnet x-version: 3.2.0 x-category: orchestration x-vcl-compliance: v3.2.0 x-cognitive-frames:

  • HON
  • MOR
  • COM
  • CLS
  • EVD
  • ASP
  • SPC

STANDARD OPERATING PROCEDURE

Purpose

Deploy and manage Flow Nexus swarms with topology-aware scaling, secure channel setup, and resilience against cloud-specific failure modes.

Trigger Conditions

  • Positive: Flow Nexus deployments, cloud swarm tuning, scaling/rollback drills, secure channel provisioning, cross-region coordination.
  • Negative: local-only swarms, non-Flow Nexus requests, or pure prompt shaping (route to prompt-architect).

Guardrails

  • Skill-Forge structure-first: ensure SKILL.md, examples/, tests/ exist; add resources/ and references/ or log remediation.
  • Prompt-Architect clarity: extract HARD/SOFT/INFERRED constraints (regions, quotas, compliance), use pure English, and declare confidence ceilings.
  • Platform safety: enforce identity, network, and secret management policies; register agents; keep hook latency within budgets; define rollback for cluster actions.
  • Adversarial validation: simulate region loss, quota exhaustion, and message drops; record evidence and metrics.
  • MCP tagging: store swarm runs with WHO=flow-nexus-swarm-{session} and WHY=skill-execution.

Execution Playbook

  1. Intent & constraints: capture targets (capacity, latency, compliance) and confirm inferred platform limits.
  2. Topology & setup: design swarm layout, provision channels, register agents, and configure autoscaling rules.
  3. Deployment plan: stage rollout, health checks, and backoff/retry policies; set observability hooks.
  4. Safety nets: pre-mortem failure points, define rollback and isolation controls; validate secrets and access scopes.
  5. Validation loop: run adversarial drills (failover, rate limits), measure telemetry, and capture evidence.
  6. Delivery: present deployment map, validation results, residual risks, and confidence ceiling.

Output Format

  • Deployment objective, constraints, and topology.
  • Channel/security setup, autoscaling rules, and rollback paths.
  • Validation artifacts (failover, latency, quota tests) and risk log.
  • MCP references for persisted notes.
  • Confidence: X.XX (ceiling: TYPE Y.YY) - rationale.

Validation Checklist

  • Structure-first assets present or ticketed; examples/tests updated or planned.
  • Identity/secrets validated; registry and hooks healthy; rollback tested.
  • Adversarial and COV runs logged with MCP tags; confidence ceiling stated; English-only output.

Completion Definition

Swarm deployment is complete when topology is live, security and scaling controls are verified, evidence is stored, and remaining risks are owned with next actions.

Confidence: 0.70 (ceiling: inference 0.70) - Flow Nexus orchestration reframed with skill-forge structure and prompt-architect evidence rules for cloud resilience.