Master installer for the ClawHub Swarm Ecosystem — a comprehensive suite of 21 interconnected Hermes skills designed for building, deploying, and managing in...
---
# ═══════════════════════════════════════════════════════════════════════════════
# HERMES AGENT SKILL MANIFEST
# Skill Name: ClawHub Swarm Ecosystem Master Installer
# Version: 1.0.0
# Author: Andrew Lee Myers
# Description: Unified installation orchestrator for the complete ClawHub
# multi-agent swarm ecosystem. Deploys 21 interconnected skills
# spanning orchestration, workflow automation, market intelligence,
# real-time processing, memory management, and revenue generation.
# Compatibility: Hermes Agent CLI v2.0+
# Category: swarm-orchestration | multi-agent-systems | automation
# Tags: [clawhub, swarm, multi-agent, orchestration, automation, ai-agents]
# ═══════════════════════════════════════════════════════════════════════════════
name: clawhub-swarm-ecosystem-master
version: "1.0.0"
description: >
Master installer for the ClawHub Swarm Ecosystem — a comprehensive suite of
21 interconnected Hermes skills designed for building, deploying, and managing
intelligent multi-agent systems. Covers orchestration layers, workflow engines,
market analytics, real-time data pipelines, persistent memory tiers, and
autonomous revenue-generating agent swarms.
author: OpenClaw Systems
license: MIT
category: swarm-orchestration
priority: critical
# Runtime Configuration
runtime:
executor: hermes-cli
mode: sequential # sequential | parallel | dependency-graph
timeout: 300 # seconds per skill install
retry_policy:
max_attempts: 3
backoff_strategy: exponential
delay_seconds: 5
# Environment Requirements
requirements:
hermes_version: ">=2.0.0"
python_version: ">=3.9"
node_version: ">=18.0"
disk_space: "2GB"
network: true
# Pre-installation Hooks
pre_install:
- command: "hermes --version"
description: "Verify Hermes CLI is installed and accessible"
required: true
- command: "hermes skills list --installed"
description: "Snapshot currently installed skills before deployment"
required: false
- command: "mkdir -p ~/.hermes/skills/clawhub-backups"
description: "Create backup directory for rollback capability"
required: false
# ═══════════════════════════════════════════════════════════════════════════════
# SKILL REGISTRY — Complete ClawHub Ecosystem (21 Skills)
# Each entry includes: repository, tier, dependencies, description, and config
# ═══════════════════════════════════════════════════════════════════════════════
skills:
# ─────────────────────────────────────────────────────────────────────────────
# TIER 1: CORE ORCHESTRATION & MULTI-AGENT FOUNDATION
# These form the backbone of any swarm deployment
# ─────────────────────────────────────────────────────────────────────────────
- id: claw-multi-agent
repository: clawhub/claw-multi-agent
tier: core
priority: 1
description: >
Foundational multi-agent coordination framework. Provides the base
abstractions for agent instantiation, message passing, role assignment,
and inter-agent communication protocols. Essential first-layer dependency
for all other swarm components.
tags: [core, multi-agent, coordination, foundation]
config:
auto_start: false
log_level: info
dependencies: []
post_install:
- "hermes skills config claw-multi-agent --set log_level=info"
- id: masterswarm
repository: clawhub/masterswarm
tier: core
priority: 2
description: >
Master swarm controller and topology manager. Handles swarm lifecycle
operations including initialization, scaling, health monitoring, failover,
and graceful shutdown. Implements leader election and distributed consensus
for swarm-wide state synchronization. Acts as the central nervous system.
tags: [core, controller, topology, lifecycle, consensus]
config:
max_agents: 50
heartbeat_interval: 30
failover_enabled: true
dependencies:
- claw-multi-agent
post_install:
- "hermes skills config masterswarm --set max_agents=50"
- id: fl-multi-agent-orchestrator
repository: clawhub/fl-multi-agent-orchestrator
tier: core
priority: 3
description: >
Federated Learning multi-agent orchestrator. Enables distributed machine
learning across agent swarms with privacy-preserving aggregation. Supports
horizontal and vertical federated learning paradigms, differential privacy,
and secure multi-party computation for collaborative AI model training
without centralizing sensitive data.
tags: [core, federated-learning, ml, privacy, distributed-ai]
config:
aggregation_strategy: fedavg
privacy_budget: 1.0
secure_aggregation: true
dependencies:
- claw-multi-agent
- masterswarm
- id: claw-orchestra
repository: clawhub/claw-orchestra
tier: core
priority: 4
description: >
Symphonic task orchestration engine. Composes complex multi-step workflows
as musical "movements" where agents play specialized "instruments." Features
dynamic tempo adjustment, crescendo scaling, and fermata pause/resume
capabilities for elegant long-running process management.
tags: [core, workflow, orchestration, composition, long-running]
config:
tempo_default: 120
auto_crescendo: true
movement_timeout: 3600
dependencies:
- claw-multi-agent
- masterswarm
# ─────────────────────────────────────────────────────────────────────────────
# TIER 2: INFRASTRUCTURE & PLATFORM LAYER
# Deployment, networking, and operational scaffolding
# ─────────────────────────────────────────────────────────────────────────────
- id: swarmdock
repository: clawhub/swarmdock
tier: infrastructure
priority: 5
description: >
Containerized swarm deployment and environment provisioning platform.
Automates Docker image builds, Kubernetes manifest generation, service
mesh configuration, and cross-cloud deployment (AWS/GCP/Azure). Includes
blue-green deployment strategies and canary release management for
zero-downtime swarm updates.
tags: [infrastructure, docker, kubernetes, deployment, devops]
config:
container_runtime: docker
orchestrator: kubernetes
deployment_strategy: blue-green
dependencies:
- masterswarm
post_install:
- "hermes skills config swarmdock --set orchestrator=kubernetes"
- id: swarm-layer
repository: clawhub/swarm-layer
tier: infrastructure
priority: 6
description: >
Abstraction layer providing unified APIs across heterogeneous swarm
implementations. Normalizes agent interfaces, message formats, and event
schemas across different underlying frameworks. Enables polyglot swarms
where Python, Node.js, Go, and Rust agents interoperate seamlessly through
standardized gRPC and REST gateway protocols.
tags: [infrastructure, abstraction, api-gateway, polyglot, interoperability]
config:
protocol_primary: grpc
protocol_fallback: rest
schema_version: "v2"
dependencies:
- claw-multi-agent
- swarmdock
- id: network-ai
repository: clawhub/network-ai
tier: infrastructure
priority: 7
description: >
Intelligent network management and topology optimization for agent swarms.
Uses graph neural networks to optimize inter-agent communication paths,
reduce latency, balance load, and detect network anomalies. Implements
adaptive routing algorithms that reconfigure swarm topologies in real-time
based on traffic patterns and agent health metrics.
tags: [infrastructure, networking, gnn, optimization, anomaly-detection]
config:
routing_algorithm: adaptive-gnn
latency_threshold_ms: 100
anomaly_detection: true
dependencies:
- swarm-layer
- masterswarm
- id: agent-swarm-network
repository: clawhub/agent-swarm-network
tier: infrastructure
priority: 8
description: >
Peer-to-peer agent discovery and gossip protocol implementation. Enables
decentralized swarm formation where agents autonomously discover peers,
exchange capability advertisements, and form dynamic sub-clusters based on
task affinity. Supports NAT traversal, WebRTC data channels, and libp2p
transport for edge-deployed agents.
tags: [infrastructure, p2p, discovery, gossip, decentralized, edge]
config:
discovery_mode: hybrid
gossip_interval: 10
nat_traversal: true
dependencies:
- network-ai
- swarm-layer
# ─────────────────────────────────────────────────────────────────────────────
# TIER 3: WORKFLOW & AUTOMATION ENGINE
# Business process automation and task pipeline management
# ─────────────────────────────────────────────────────────────────────────────
- id: agent-swarm-workflow
repository: clawhub/agent-swarm-workflow
tier: workflow
priority: 9
description: >
Declarative workflow definition and execution engine for agent swarms.
Supports DAG-based task pipelines, conditional branching, parallel
execution branches, error handling with retry logic, and event-driven
triggers. Integrates with external systems via webhooks, message queues
(RabbitMQ, Kafka), and scheduled cron expressions for fully automated
business process orchestration.
tags: [workflow, automation, dag, pipeline, cron, event-driven]
config:
engine: dag
max_parallel_branches: 10
retry_policy: exponential-backoff
trigger_types: [webhook, cron, event, manual]
dependencies:
- claw-orchestra
- swarm-layer
- id: hive-commander
repository: clawhub/hive-commander
tier: workflow
priority: 10
description: >
Centralized command and control interface for hive-mind style swarm
coordination. Provides a unified CLI and dashboard for issuing swarm-wide
directives, monitoring collective agent state, and executing coordinated
actions across hundreds of agents simultaneously. Features role-based
access control and audit logging for enterprise governance.
tags: [workflow, command-control, governance, dashboard, enterprise]
config:
auth_mode: rbac
audit_retention_days: 90
dashboard_enabled: true
dependencies:
- masterswarm
- agent-swarm-workflow
- id: flow-swarm
repository: clawhub/flow-swarm
tier: workflow
priority: 11
description: >
Visual flow-based programming interface for swarm behavior design.
Enables non-technical users to construct agent workflows through a
node-and-wire canvas. Generates executable swarm configurations from
visual diagrams. Supports real-time simulation and debugging of flows
before production deployment.
tags: [workflow, visual-programming, low-code, flow-design, debugging]
config:
canvas_mode: interactive
auto_generate_config: true
simulation_enabled: true
dependencies:
- agent-swarm-workflow
- claw-orchestra
- id: yuyonghao-agent-swarm
repository: clawhub/yuyonghao-agent-swarm
tier: workflow
priority: 12
description: >
Specialized agent swarm implementation optimized for research and
academic workflows. Features citation tracking, literature review
automation, experimental design coordination, and paper writing
collaboration pipelines. Integrates with Zotero, Mendeley, arXiv,
and Google Scholar APIs for comprehensive research assistance.
tags: [workflow, research, academic, literature, collaboration]
config:
citation_style: apa
literature_sources: [arxiv, scholar, pubmed, ieee]
collaboration_mode: async
dependencies:
- agent-swarm-workflow
- claw-multi-agent
# ─────────────────────────────────────────────────────────────────────────────
# TIER 4: MARKET INTELLIGENCE & REVENUE GENERATION
# Financial analytics, trading, publishing, and monetization layers
# ─────────────────────────────────────────────────────────────────────────────
- id: swarmskill-coin-trade
repository: clawhub/swarmskill-coin-trade
tier: market
priority: 13
description: >
Cryptocurrency trading skill for agent swarms. Implements multi-exchange
arbitrage detection, automated trading strategies (momentum, mean-reversion,
grid), risk management with position sizing, and real-time market data
ingestion from Binance, Coinbase Pro, Kraken, and decentralized exchanges.
Includes paper trading mode for strategy backtesting before live deployment.
tags: [market, crypto, trading, arbitrage, defi, risk-management]
config:
trading_mode: paper # paper | live
exchanges: [binance, coinbase, kraken]
risk_per_trade: 0.02
max_drawdown: 0.10
dependencies:
- swarm-layer
- network-ai
post_install:
- "echo 'WARNING: Set trading_mode to live only after thorough backtesting'"
- id: swarmwage-publish
repository: clawhub/swarmwage-publish
tier: market
priority: 14
description: >
Autonomous content publishing and monetization engine. Agents generate,
optimize, and publish content across platforms (Medium, Substack, WordPress,
Twitter/X, LinkedIn) with SEO optimization, A/B headline testing, and
audience analytics. Tracks affiliate links, referral conversions, and
ad revenue to calculate per-agent content ROI and swarm-wide publishing
profitability.
tags: [market, publishing, monetization, content, seo, affiliate]
config:
platforms: [medium, substack, wordpress, twitter, linkedin]
seo_optimization: true
ab_test_headlines: true
revenue_tracking: true
dependencies:
- agent-swarm-workflow
- clawhub-memory-tiers-pro
- id: swarmmarket2
repository: clawhub/swarmmarket2
tier: market
priority: 15
description: >
Next-generation market intelligence and competitive analysis platform.
Aggregates data from Crunchbase, LinkedIn Sales Navigator, G2, Capterra,
and custom web scraping to build comprehensive company and market profiles.
Agents perform automated lead scoring, outreach personalization, and
pipeline tracking for B2B sales and partnership development workflows.
tags: [market, intelligence, b2b, sales, lead-generation, competitive-analysis]
config:
data_sources: [crunchbase, linkedin, g2, capterra, custom-scraper]
lead_scoring_model: ml-based
outreach_personalization: true
dependencies:
- network-ai
- agent-swarm-workflow
- id: bountyswarm
repository: clawhub/bountyswarm
tier: market
priority: 16
description: >
Decentralized task marketplace where agents bid on, execute, and verify
micro-tasks for cryptocurrency bounties. Implements reputation scoring,
escrow-based payment release, and dispute resolution mechanisms. Enables
swarm agents to generate income by completing coding, design, research,
and data labeling tasks from platforms like Gitcoin, Bounties Network,
and custom bounty pools.
tags: [market, bounty, marketplace, gig-economy, reputation, escrow]
config:
platforms: [gitcoin, bounties-network, custom]
escrow_currency: usdc
reputation_decay: 0.01
verification_required: true
dependencies:
- swarm-layer
- clawhub-memory-tiers-pro
# ─────────────────────────────────────────────────────────────────────────────
# TIER 5: REAL-TIME PROCESSING & OPERATIONS
# Live data streams, job management, and event-driven operations
# ─────────────────────────────────────────────────────────────────────────────
- id: epic-ai-swarm-orchestration
repository: clawhub/epic-ai-swarm-orchestration
tier: realtime
priority: 17
description: >
High-performance real-time swarm orchestration for latency-sensitive
applications. Optimized for sub-100ms response times using WebAssembly
agent runtimes, in-memory state stores (Redis), and edge-computed
inference. Designed for live trading, real-time gaming, IoT command
and control, and interactive AI assistant deployments requiring
immediate agent coordination.
tags: [realtime, low-latency, edge, webassembly, gaming, iot]
config:
target_latency_ms: 50
runtime: wasm
state_store: redis
edge_nodes: auto
dependencies:
- masterswarm
- network-ai
- swarm-layer
- id: clawswarm-realtime
repository: clawhub/clawswarm-realtime
tier: realtime
priority: 18
description: >
Real-time data streaming and event processing backbone. Integrates with
Apache Kafka, Pulsar, and WebSocket feeds to provide agents with live
data streams. Features windowed aggregations, stream joins, complex event
processing (CEP), and backpressure handling. Enables agents to react to
market movements, social media trends, and system metrics in milliseconds.
tags: [realtime, streaming, kafka, websocket, cep, backpressure]
config:
stream_engine: kafka
window_size: 5s
backpressure_strategy: buffer-and-drop
max_throughput: 100000
dependencies:
- epic-ai-swarm-orchestration
- network-ai
- id: clawswarm-jobs
repository: clawhub/clawswarm-jobs
tier: realtime
priority: 19
description: >
Distributed job queue and batch processing system for swarm workloads.
Manages job scheduling, priority queues, resource allocation, and
worker pool scaling. Supports cron-based recurring jobs, one-off tasks,
map-reduce patterns, and dependency chains. Integrates with Celery,
BullMQ, and AWS Batch for enterprise-grade job execution at scale.
tags: [realtime, jobs, queue, batch, cron, scheduling, map-reduce]
config:
queue_backend: redis
worker_scaling: auto
max_concurrent_jobs: 100
retry_dead_letter: true
dependencies:
- clawswarm-realtime
- hive-commander
# ─────────────────────────────────────────────────────────────────────────────
# TIER 6: MEMORY & PERSISTENCE LAYER
# Long-term agent memory, state management, and knowledge retention
# ─────────────────────────────────────────────────────────────────────────────
- id: clawhub-memory-tiers-pro
repository: clawhub/clawhub-memory-tiers-pro
tier: memory
priority: 20
description: >
Advanced multi-tier memory system for agent swarms. Implements
short-term (working memory), medium-term (episodic memory with
vector embeddings), and long-term (semantic knowledge graph) storage.
Features memory consolidation, forgetting curves, importance scoring,
and cross-agent memory sharing via secure enclaves. Integrates with
PostgreSQL, Pinecone, Weaviate, and Neo4j for persistent storage.
tags: [memory, persistence, vector-db, knowledge-graph, rag, embeddings]
config:
tiers:
- name: working
backend: redis
ttl: 3600
- name: episodic
backend: pinecone
embedding_model: text-embedding-3-large
- name: semantic
backend: neo4j
graph_schema: auto
consolidation_schedule: "0 2 * * *"
dependencies:
- swarm-layer
# ─────────────────────────────────────────────────────────────────────────────
# TIER 7: SPECIALIZED & EXPERIMENTAL
# Niche capabilities and cutting-edge swarm research modules
# ─────────────────────────────────────────────────────────────────────────────
- id: claw-swarm
repository: clawhub/claw-swarm
tier: specialized
priority: 21
description: >
Experimental swarm behavior research platform. Implements emergent
behavior simulation, ant colony optimization, particle swarm intelligence,
and genetic algorithm-based agent evolution. Provides sandboxed
environments for testing novel coordination algorithms before integration
into production swarm stacks.
tags: [specialized, experimental, emergent-behavior, genetic-algorithm, sandbox]
config:
sandbox_mode: true
max_simulation_agents: 1000
evolution_generations: 50
dependencies:
- claw-multi-agent
- masterswarm
# ═══════════════════════════════════════════════════════════════════════════════
# INSTALLATION PIPELINE
# Defines execution order, parallelization groups, and verification steps
# ═══════════════════════════════════════════════════════════════════════════════
installation:
strategy: dependency-graph
phases:
- name: "foundation"
description: "Install core orchestration and multi-agent base layers"
parallel: false
skills:
- claw-multi-agent
- masterswarm
- fl-multi-agent-orchestrator
- claw-orchestra
verification: "hermes skills list --installed | grep -E 'claw-multi-agent|masterswarm|fl-multi-agent-orchestrator|claw-orchestra'"
- name: "infrastructure"
description: "Deploy networking, abstraction, and platform infrastructure"
parallel: true
skills:
- swarmdock
- swarm-layer
- network-ai
- agent-swarm-network
verification: "hermes skills list --installed | grep -E 'swarmdock|swarm-layer|network-ai|agent-swarm-network'"
- name: "workflow"
description: "Install workflow engines, automation, and command interfaces"
parallel: true
skills:
- agent-swarm-workflow
- hive-commander
- flow-swarm
- yuyonghao-agent-swarm
verification: "hermes skills list --installed | grep -E 'agent-swarm-workflow|hive-commander|flow-swarm|yuyonghao-agent-swarm'"
- name: "market-intelligence"
description: "Deploy financial, publishing, and monetization capabilities"
parallel: true
skills:
- swarmskill-coin-trade
- swarmwage-publish
- swarmmarket2
- bountyswarm
verification: "hermes skills list --installed | grep -E 'swarmskill-coin-trade|swarmwage-publish|swarmmarket2|bountyswarm'"
- name: "realtime-operations"
description: "Enable real-time processing, streaming, and job management"
parallel: true
skills:
- epic-ai-swarm-orchestration
- clawswarm-realtime
- clawswarm-jobs
verification: "hermes skills list --installed | grep -E 'epic-ai-swarm-orchestration|clawswarm-realtime|clawswarm-jobs'"
- name: "memory-persistence"
description: "Install advanced memory and knowledge retention systems"
parallel: false
skills:
- clawhub-memory-tiers-pro
verification: "hermes skills list --installed | grep 'clawhub-memory-tiers-pro'"
- name: "experimental"
description: "Deploy research and experimental behavior modules"
parallel: false
skills:
- claw-swarm
verification: "hermes skills list --installed | grep 'claw-swarm'"
# ═══════════════════════════════════════════════════════════════════════════════
# POST-INSTALLATION CONFIGURATION
# ═══════════════════════════════════════════════════════════════════════════════
post_install:
- command: "hermes skills list --installed > ~/.hermes/skills/clawhub-backups/post-install-manifest.txt"
description: "Generate final installation manifest"
required: true
- command: "hermes skills health-check --all"
description: "Run comprehensive health check on all installed skills"
required: true
- command: "hermes skills config masterswarm --set swarm_name=clawhub-ecosystem-v1"
description: "Set swarm identity name"
required: false
- command: >
echo "ClawHub Swarm Ecosystem v1.0.0 installed successfully.
Run 'hermes skills status' to view all active skills."
description: "Display completion message"
required: false
# ═══════════════════════════════════════════════════════════════════════════════
# ROLLBACK PROCEDURE
# ═══════════════════════════════════════════════════════════════════════════════
rollback:
enabled: true
procedure:
- command: "hermes skills list --installed > ~/.hermes/skills/clawhub-backups/rollback-target.txt"
description: "Snapshot current state before rollback"
- command: "hermes skills uninstall clawhub/* --force"
description: "Uninstall all ClawHub skills"
- command: "hermes skills restore ~/.hermes/skills/clawhub-backups/pre-install-manifest.txt"
description: "Restore pre-installation state from backup"
# ═══════════════════════════════════════════════════════════════════════════════
# DOCUMENTATION & SUPPORT
# ═══════════════════════════════════════════════════════════════════════════════
documentation:
quickstart: "https://docs.clawhub.io/swarm-ecosystem/quickstart"
api_reference: "https://docs.clawhub.io/api/v1"
troubleshooting: "https://docs.clawhub.io/troubleshooting"
community: "https://discord.gg/clawhub"
github: "https://github.com/clawhub/swarm-ecosystem"
---
# ClawHub Swarm Ecosystem — Master Skill Installer
## Overview
This document serves as the **unified installation manifest** for the complete ClawHub multi-agent swarm ecosystem within the Hermes Agent framework. It orchestrates the deployment of **21 interconnected skills** across seven functional tiers, transforming a base Hermes installation into a fully operational swarm intelligence platform capable of autonomous workflow execution, real-time market analysis, content monetization, and distributed AI coordination.
## Architecture
```
┌─────────────────────────────────────────────────────────────────────────────┐
│ CLAWHUB SWARM ECOSYSTEM v1.0.0 │
│ 7-Tier Architecture │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ TIER 1 │ │ TIER 2 │ │ TIER 3 │ │ TIER 4 │ │
│ │ CORE │ │ INFRASTRUCTURE│ │ WORKFLOW │ │ MARKET │ │
│ │ │ │ │ │ │ │ │ │
│ │ • claw- │ │ • swarmdock │ │ • agent- │ │ • swarm- │ │
│ │ multi- │ │ • swarm- │ │ swarm- │ │ skill- │ │
│ │ agent │ │ layer │ │ workflow │ │ coin- │ │
│ │ • master- │ │ • network- │ │ • hive- │ │ trade │ │
│ │ swarm │ │ ai │ │ commander │ │ • swarm- │ │
│ │ • fl-multi- │ │ • agent- │ │ • flow- │ │ wage- │ │
│ │ agent- │ │ swarm- │ │ swarm │ │ publish │ │
│ │ orch... │ │ network │ │ • yuyong- │ │ • swarm- │ │
│ │ • claw- │ │ │ │ hao-... │ │ market2 │ │
│ │ orchestra │ │ │ │ │ │ • bountyswarm │ │
│ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ │
│ │ │ │ │ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ TIER 5 │ │ TIER 6 │ │ TIER 7 │ │
│ │ REALTIME │ │ MEMORY │ │ SPECIALIZED │ │
│ │ │ │ │ │ │ │
│ │ • epic-ai- │ │ • clawhub- │ │ • claw- │ │
│ │ swarm- │ │ memory- │ │ swarm │ │
│ │ orch... │ │ tiers-pro │ │ │ │
│ │ • claw- │ │ │ │ │ │
│ │ swarm- │ │ │ │ │ │
│ │ realtime │ │ │ │ │ │
│ │ • claw- │ │ │ │ │ │
│ │ swarm- │ │ │ │ │ │
│ │ jobs │ │ │ │ │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
```
## Installation Phases
The installer executes in **7 sequential phases** with intelligent parallelization within each phase:
### Phase 1: Foundation (Sequential)
**Skills:** `claw-multi-agent`, `masterswarm`, `fl-multi-agent-orchestrator`, `claw-orchestra`
Establishes the core multi-agent runtime, master controller, federated learning orchestrator, and symphonic workflow engine. These four skills form the non-negotiable base layer — all subsequent tiers depend on their APIs and event buses.
### Phase 2: Infrastructure (Parallel)
**Skills:** `swarmdock`, `swarm-layer`, `network-ai`, `agent-swarm-network`
Deploys container orchestration, cross-language abstraction, intelligent network optimization, and peer-to-peer discovery. This tier transforms the core into a production-ready distributed system.
### Phase 3: Workflow (Parallel)
**Skills:** `agent-swarm-workflow`, `hive-commander`, `flow-swarm`, `yuyonghao-agent-swarm`
Activates declarative workflow engines, centralized command interfaces, visual flow designers, and academic research pipelines. Enables complex business process automation.
### Phase 4: Market Intelligence (Parallel)
**Skills:** `swarmskill-coin-trade`, `swarmwage-publish`, `swarmmarket2`, `bountyswarm`
Deploys cryptocurrency trading automation, content publishing monetization, B2B market intelligence, and decentralized bounty marketplaces. This is the revenue-generating layer of the ecosystem.
### Phase 5: Real-Time Operations (Parallel)
**Skills:** `epic-ai-swarm-orchestration`, `clawswarm-realtime`, `clawswarm-jobs`
Enables sub-100ms latency swarm coordination, high-throughput streaming, and distributed job scheduling. Critical for time-sensitive applications.
### Phase 6: Memory & Persistence (Sequential)
**Skill:** `clawhub-memory-tiers-pro`
Installs the three-tier memory system (working/episodic/semantic) enabling agents to learn, remember, and share knowledge across sessions and swarm instances.
### Phase 7: Experimental (Sequential)
**Skill:** `claw-swarm`
Deploys the research sandbox for emergent behavior simulation and genetic algorithm evolution. Isolated from production workloads.
## Usage
### Quick Install (All 21 Skills)
```bash
# Save this file as skill.md, then execute:
hermes skills install --manifest skill.md
# Or run the inline installer:
hermes skills install clawhub/claw-multi-agent && \
hermes skills install clawhub/masterswarm && \
hermes skills install clawhub/fl-multi-agent-orchestrator && \
hermes skills install clawhub/swarmdock && \
hermes skills install clawhub/swarmskill-coin-trade && \
hermes skills install clawhub/swarmwage-publish && \
hermes skills install clawhub/claw-orchestra && \
hermes skills install clawhub/swarmmarket2 && \
hermes skills install clawhub/agent-swarm-network && \
hermes skills install clawhub/epic-ai-swarm-orchestration && \
hermes skills install clawhub/swarm-layer && \
hermes skills install clawhub/hive-commander && \
hermes skills install clawhub/network-ai && \
hermes skills install clawhub/yuyonghao-agent-swarm && \
hermes skills install clawhub/agent-swarm-workflow && \
hermes skills install clawhub/bountyswarm && \
hermes skills install clawhub/claw-swarm && \
hermes skills install clawhub/clawswarm-jobs && \
hermes skills install clawhub/clawswarm-realtime && \
hermes skills install clawhub/clawhub-memory-tiers-pro && \
hermes skills install clawhub/flow-swarm
```
### Selective Tier Installation
```bash
# Install only core + infrastructure (8 skills)
hermes skills install --manifest skill.md --tiers core,infrastructure
# Install only market intelligence layer (4 skills)
hermes skills install --manifest skill.md --tiers market
# Install workflow + realtime for automation pipelines (7 skills)
hermes skills install --manifest skill.md --tiers workflow,realtime
```
### Post-Installation Verification
```bash
# Check all installed skills
hermes skills list --installed
# Run health diagnostics
hermes skills health-check --all
# View swarm status
hermes skills status
# Check individual skill logs
hermes skills logs masterswarm --tail 100
hermes skills logs swarmwage-publish --tail 100
```
## Skill Dependency Graph
```mermaid
graph TD
A[claw-multi-agent] --> B[masterswarm]
A --> C[claw-orchestra]
A --> D[claw-swarm]
A --> E[yuyonghao-agent-swarm]
B --> F[swarmdock]
B --> G[network-ai]
B --> H[hive-commander]
B --> I[epic-ai-swarm-orchestration]
C --> J[agent-swarm-workflow]
C --> K[flow-swarm]
F --> L[swarm-layer]
L --> M[agent-swarm-network]
L --> N[clawhub-memory-tiers-pro]
G --> M
G --> O[swarmmarket2]
G --> I
J --> P[swarmwage-publish]
J --> Q[bountyswarm]
J --> H
J --> K
I --> R[clawswarm-realtime]
R --> S[clawswarm-jobs]
L --> T[swarmskill-coin-trade]
H --> S
style A fill:#ff6b6b
style B fill:#4ecdc4
style N fill:#ffe66d
style P fill:#95e1d3
style T fill:#f38181
```
## Configuration
Each skill exposes configuration parameters via the Hermes config API:
```bash
# Example: Configure the trading skill for live mode (after backtesting)
hermes skills config swarmskill-coin-trade --set trading_mode=live
hermes skills config swarmskill-coin-trade --set risk_per_trade=0.01
# Example: Scale the master swarm controller
hermes skills config masterswarm --set max_agents=100
hermes skills config masterswarm --set heartbeat_interval=15
# Example: Configure memory tiers
hermes skills config clawhub-memory-tiers-pro --set consolidation_schedule="0 */6 * * *"
# Example: Enable all publishing platforms
hermes skills config swarmwage-publish --set platforms=[medium,substack,wordpress,twitter,linkedin]
```
## Security Considerations
| Skill | Security Notes |
|-------|---------------|
| `swarmskill-coin-trade` | **Default: paper trading.** Never enable live mode without extensive backtesting and risk capital allocation. Review exchange API key permissions (read-only vs. trade). |
| `bountyswarm` | Escrow verification required. Reputation system prevents Sybil attacks. Custom bounty pools should implement KYC for high-value tasks. |
| `network-ai` | GNN models trained on swarm topology data. Ensure no sensitive agent identifiers leak through graph embeddings. |
| `clawhub-memory-tiers-pro` | Cross-agent memory sharing uses secure enclaves. Configure encryption at rest for episodic and semantic tiers. |
| `agent-swarm-network` | P2P discovery exposes agent capabilities. Review capability advertisement filters to prevent information disclosure. |
## Troubleshooting
### Installation Failures
```bash
# Retry a failed skill installation
hermes skills install clawhub/<skill-name> --retry --verbose
# Check dependency resolution
hermes skills deps --tree clawhub/<skill-name>
# View installation logs
hermes skills logs --install --skill clawhub/<skill-name>
```
### Swarm Health Issues
```bash
# Restart a specific skill
hermes skills restart clawhub/masterswarm
# Check swarm connectivity
hermes skills exec masterswarm --cmd "swarm.ping --all"
# Reset skill to default configuration
hermes skills config <skill-name> --reset
```
### Performance Optimization
```bash
# Monitor real-time latency
hermes skills exec epic-ai-swarm-orchestration --cmd "metrics.latency --window 60s"
# Adjust worker pool for job processing
hermes skills config clawswarm-jobs --set max_concurrent_jobs=200
# Optimize network routing
hermes skills exec network-ai --cmd "route.optimize --target_latency 50ms"
```
## Revenue Generation Quickstart
For users building the **OpenClaw/SwarmClaw passive income system**:
1. **Content Publishing Pipeline**
```bash
hermes skills config swarmwage-publish --set auto_publish=true
hermes skills config swarmwage-publish --set content_niche="ai-technology"
hermes skills start swarmwage-publish
```
2. **Bounty Task Automation**
```bash
hermes skills config bountyswarm --set auto_bid=true
hermes skills config bountyswarm --set task_types=[coding,research,design]
hermes skills start bountyswarm
```
3. **Market Intelligence + Outreach**
```bash
hermes skills config swarmmarket2 --set auto_outreach=true
hermes skills config swarmmarket2 --set target_industries=[saas,ai,fintech]
hermes skills start swarmmarket2
```
4. **Trading Signal Generation** (paper mode recommended)
```bash
hermes skills config swarmskill-coin-trade --set strategy=momentum
hermes skills config swarmskill-coin-trade --set alert_only=true
hermes skills start swarmskill-coin-trade
```
## Changelog
| Version | Date | Changes |
|---------|------|---------|
| 1.0.0 | 2026-06-21 | Initial release. 21-skill ecosystem manifest. 7-tier architecture. Dependency graph resolution. |
## License
MIT License — See individual skill repositories for sub-component licensing.
---
*Generated for Hermes Agent CLI v2.0+ | ClawHub Swarm Ecosystem v1.0.0*
*For support: https://discord.gg/clawhub | https://github.com/clawhub/swarm-ecosystem*
don't have the plugin yet? install it then click "run inline in claude" again.