Agent Council

Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.

ติดตั้ง
$clawhub install agent-council

Agent Council

Complete toolkit for creating and managing autonomous AI agents with Discord integration for OpenClaw.

What This Skill Does

Agent Creation: - Creates autonomous AI agents with self-contained workspaces - Generates SOUL.md (personality & responsibilities) - Generates HEARTBEAT.md (cron execution logic) - Sets up memory system (hybrid architecture) - Configures gateway automatically - Binds agents to Discord channels (optional) - Sets up daily memory cron jobs (optional)

Discord Channel Management: - Creates Discord channels via API - Configures OpenClaw gateway allowlists - Sets channel-specific system prompts - Renames channels and updates references - Optional workspace file search

Installation

# Install from ClawHub
clawhub install agent-council

# Or manual install
cp -r . ~/.openclaw/skills/agent-council/
openclaw gateway config.patch --raw '{
  "skills": {
    "entries": {
      "agent-council": {"enabled": true}
    }
  }
}'

Part 1: Agent Creation

Quick Start

scripts/create-agent.sh \
  --name "Watson" \
  --id "watson" \
  --emoji "🔬" \
  --specialty "Research and analysis specialist" \
  --model "anthropic/claude-opus-4-5" \
  --workspace "$HOME/agents/watson" \
  --discord-channel "1234567890"

Workflow

1. Gather Requirements

Ask the user: - Agent name (e.g., "Watson") - Agent ID (lowercase, hyphenated, e.g., "watson") - Emoji (e.g., "🔬") - Specialty (what the agent does) - Model (which LLM to use) - Workspace (where to create agent files) - Discord channel ID (optional)

2. Run Creation Script

scripts/create-agent.sh \
  --name "Agent Name" \
  --id "agent-id" \
  --emoji "🤖" \
  --specialty "What this agent does" \
  --model "provider/model-name" \
  --workspace "/path/to/workspace" \
  --discord-channel "1234567890"  # Optional

The script automatically: - ✅ Creates workspace with memory subdirectory - ✅ Generates SOUL.md and HEARTBEAT.md - ✅ Updates gateway config (preserves existing agents) - ✅ Adds Discord channel binding (if specified) - ✅ Restarts gateway to apply changes - ✅ Prompts for daily memory cron setup

3. Customize Agent

After creation: - SOUL.md - Refine personality, responsibilities, boundaries - HEARTBEAT.md - Add periodic checks and cron logic - Workspace files - Add agent-specific configuration

Agent Architecture

Self-contained structure: agents/ ├── watson/ │ ├── SOUL.md # Personality and responsibilities │ ├── HEARTBEAT.md # Cron execution logic │ ├── memory/ # Agent-specific memory │ │ ├── 2026-02-01.md # Daily memory logs │ │ └── 2026-02-02.md │ └── .openclaw/ │ └── skills/ # Agent-specific skills (optional)

Memory system: - Agent-specific memory: <workspace>/memory/YYYY-MM-DD.md - Shared memory access: Agents can read shared workspace - Daily updates: Optional cron job for summaries

Cron jobs: If your agent needs scheduled tasks: 1. Create HEARTBEAT.md with execution logic 2. Add cron jobs with --session <agent-id> 3. Document in SOUL.md

Examples

Research agent: bash scripts/create-agent.sh \ --name "Watson" \ --id "watson" \ --emoji "🔬" \ --specialty "Deep research and competitive analysis" \ --model "anthropic/claude-opus-4-5" \ --workspace "$HOME/agents/watson" \ --discord-channel "1234567890"

Image generation agent: bash scripts/create-agent.sh \ --name "Picasso" \ --id "picasso" \ --emoji "🎨" \ --specialty "Image generation and editing specialist" \ --model "google/gemini-3-flash-preview" \ --workspace "$HOME/agents/picasso" \ --discord-channel "9876543210"

Health tracking agent: bash scripts/create-agent.sh \ --name "Nurse Joy" \ --id "nurse-joy" \ --emoji "💊" \ --specialty "Health tracking and wellness monitoring" \ --model "anthropic/claude-opus-4-5" \ --workspace "$HOME/agents/nurse-joy" \ --discord-channel "5555555555"

Part 2: Discord Channel Management

Channel Creation

Quick Start

python3 scripts/setup-channel.py \
  --name research \
  --context "Deep research and competitive analysis"

Workflow

  1. Run setup script: bash python3 scripts/setup-channel.py \ --name <channel-name> \ --context "<channel-purpose>" \ [--category-id <discord-category-id>]

  2. Apply gateway config (command shown by script): bash openclaw gateway config.patch --raw '{"channels": {...}}'

Options

With category: bash python3 scripts/setup-channel.py \ --name research \ --context "Deep research and competitive analysis" \ --category-id "1234567890"

Use existing channel: bash python3 scripts/setup-channel.py \ --name personal-finance \ --id 1466184336901537897 \ --context "Personal finance management"

Channel Renaming

Quick Start

python3 scripts/rename-channel.py \
  --id 1234567890 \
  --old-name old-name \
  --new-name new-name

Workflow

  1. Run rename script: bash python3 scripts/rename-channel.py \ --id <channel-id> \ --old-name <old-name> \ --new-name <new-name> \ [--workspace <workspace-dir>]

  2. Apply gateway config if systemPrompt needs updating (shown by script)

  3. Commit workspace file changes (if --workspace used)

python3 scripts/rename-channel.py \
  --id 1234567890 \
  --old-name old-name \
  --new-name new-name \
  --workspace "$HOME/my-workspace"

This will: - Rename Discord channel via API - Update gateway config systemPrompt - Search and update workspace files - Report files changed for git commit

Complete Multi-Agent Setup

Full workflow from scratch:

# 1. Create Discord channel
python3 scripts/setup-channel.py \
  --name research \
  --context "Deep research and competitive analysis" \
  --category-id "1234567890"

# (Note the channel ID from output)

# 2. Apply gateway config for channel
openclaw gateway config.patch --raw '{"channels": {...}}'

# 3. Create agent bound to that channel
scripts/create-agent.sh \
  --name "Watson" \
  --id "watson" \
  --emoji "🔬" \
  --specialty "Deep research and competitive analysis" \
  --model "anthropic/claude-opus-4-5" \
  --workspace "$HOME/agents/watson" \
  --discord-channel "1234567890"

# Done! Agent is created and bound to the channel

Configuration

Discord Category ID

Option 1: Command line bash python3 scripts/setup-channel.py \ --name channel-name \ --context "Purpose" \ --category-id "1234567890"

Option 2: Environment variable bash export DISCORD_CATEGORY_ID="1234567890" python3 scripts/setup-channel.py --name channel-name --context "Purpose"

Finding Discord IDs

Enable Developer Mode: - Settings → Advanced → Developer Mode

Copy IDs: - Right-click channel → Copy ID - Right-click category → Copy ID

Scripts Reference

create-agent.sh

Arguments: - --name (required) - Agent name - --id (required) - Agent ID (lowercase, hyphenated) - --emoji (required) - Agent emoji - --specialty (required) - What the agent does - --model (required) - LLM to use (provider/model-name) - --workspace (required) - Where to create agent files - --discord-channel (optional) - Discord channel ID to bind

Output: - Creates agent workspace - Generates SOUL.md and HEARTBEAT.md - Updates gateway config - Optionally creates daily memory cron

setup-channel.py

Arguments: - --name (required) - Channel name - --context (required) - Channel purpose/context - --id (optional) - Existing channel ID - --category-id (optional) - Discord category ID

Output: - Creates Discord channel (if doesn't exist) - Generates gateway config.patch command

rename-channel.py

Arguments: - --id (required) - Channel ID - --old-name (required) - Current channel name - --new-name (required) - New channel name - --workspace (optional) - Workspace directory to search

Output: - Renames Discord channel - Updates gateway systemPrompt (if needed) - Lists updated files (if workspace search enabled)

Gateway Integration

This skill integrates with OpenClaw's gateway configuration:

Agents: json { "agents": { "list": [ { "id": "watson", "name": "Watson", "workspace": "/path/to/agents/watson", "model": { "primary": "anthropic/claude-opus-4-5" }, "identity": { "name": "Watson", "emoji": "🔬" } } ] } }

Bindings: json { "bindings": [ { "agentId": "watson", "match": { "channel": "discord", "peer": { "kind": "channel", "id": "1234567890" } } } ] }

Channels: json { "channels": { "discord": { "guilds": { "YOUR_GUILD_ID": { "channels": { "1234567890": { "allow": true, "requireMention": false, "systemPrompt": "Deep research and competitive analysis" } } } } } } }

Agent Coordination

Your main agent coordinates with specialized agents using OpenClaw's built-in session management tools.

List Active Agents

See all active agents and their recent activity:

sessions_list({
  kinds: ["agent"],
  limit: 10,
  messageLimit: 3  // Show last 3 messages per agent
})

Send Messages to Agents

Direct communication: typescript sessions_send({ label: "watson", // Agent ID message: "Research the competitive landscape for X" })

Wait for response: typescript sessions_send({ label: "watson", message: "What did you find about X?", timeoutSeconds: 300 // Wait up to 5 minutes })

Spawn Sub-Agent Tasks

For complex work, spawn a sub-agent in an isolated session:

sessions_spawn({
  agentId: "watson",  // Optional: use specific agent
  task: "Research competitive landscape for X and write a report",
  model: "anthropic/claude-opus-4-5",  // Optional: override model
  runTimeoutSeconds: 3600,  // 1 hour max
  cleanup: "delete"  // Delete session after completion
})

The sub-agent will: 1. Execute the task in isolation 2. Announce completion back to your session 3. Self-delete (if cleanup: "delete")

Check Agent History

Review what an agent has been working on:

sessions_history({
  sessionKey: "watson-session-key",
  limit: 50
})

Coordination Patterns

1. Direct delegation (Discord-bound agents): - User messages agent's Discord channel - Agent responds directly in that channel - Main agent doesn't need to coordinate

2. Programmatic delegation (main agent → sub-agent): ```typescript // Main agent delegates task sessions_send({ label: "watson", message: "Research X and update memory/research-X.md" })

// Watson works independently, updates files // Main agent checks later or Watson reports back ```

3. Spawn for complex tasks: typescript // For longer-running, isolated work sessions_spawn({ agentId: "watson", task: "Deep dive: analyze competitors A, B, C. Write report to reports/competitors.md", runTimeoutSeconds: 7200, cleanup: "keep" // Keep session for review })

4. Agent-to-agent communication: Agents can send messages to each other: typescript // In Watson's context sessions_send({ label: "picasso", message: "Create an infographic from data in reports/research.md" })

Best Practices

When to use Discord bindings: - ✅ Domain-specific agents (research, health, images) - ✅ User wants direct access to agent - ✅ Agent should respond to channel activity

When to use sessions_send: - ✅ Programmatic coordination - ✅ Main agent delegates to specialists - ✅ Need response in same session

When to use sessions_spawn: - ✅ Long-running tasks (>5 minutes) - ✅ Complex multi-step work - ✅ Want isolation from main session - ✅ Background processing

Example: Research Workflow

// Main agent receives request: "Research competitor X"

// 1. Check if Watson is active
const agents = sessions_list({ kinds: ["agent"] })

// 2. Delegate to Watson
sessions_send({
  label: "watson",
  message: "Research competitor X: products, pricing, market position. Write findings to memory/research-X.md"
})

// 3. Watson works independently:
//    - Searches web
//    - Analyzes data
//    - Updates memory file
//    - Reports back when done

// 4. Main agent retrieves results
const results = Read("agents/watson/memory/research-X.md")

// 5. Share with user
"Research complete! Watson found: [summary]"

Communication Flow

Main Agent (You) ↔ Specialized Agents:

User Request
    ↓
Main Agent (Claire)
    ↓
sessions_send("watson", "Research X")
    ↓
Watson Agent
    ↓
- Uses web_search
- Uses web_fetch
- Updates memory files
    ↓
Responds to main session
    ↓
Main Agent synthesizes and replies

Discord-Bound Agents:

User posts in #research channel
    ↓
Watson Agent (bound to channel)
    ↓
- Sees message directly
- Responds in channel
- No main agent involvement

Hybrid Approach:

User: "Research X" (main channel)
    ↓
Main Agent delegates to Watson
    ↓
Watson researches and reports back
    ↓
Main Agent: "Done! Watson found..."
    ↓
User: "Show me more details"
    ↓
Main Agent: "@watson post your full findings in #research"
    ↓
Watson posts detailed report in #research channel

Troubleshooting

Agent Creation Issues:

"Agent not appearing in Discord" - Verify channel ID is correct - Check gateway config bindings section - Restart gateway: openclaw gateway restart

"Model errors" - Verify model name format: provider/model-name - Check model is available in gateway config

Channel Management Issues:

"Failed to create channel" - Check bot has "Manage Channels" permission - Verify bot token in OpenClaw config - Ensure category ID is correct (if specified)

"Category not found" - Verify category ID is correct - Check bot has access to category - Try without category ID (creates uncategorized)

"Channel already exists" - Use --id <channel-id> to configure existing channel - Or script will auto-detect and configure it

Use Cases

  • Domain specialists - Research, health, finance, coding agents
  • Creative agents - Image generation, writing, design
  • Task automation - Scheduled monitoring, reports, alerts
  • Multi-agent systems - Coordinated team of specialized agents
  • Discord organization - Structured channels for different agent domains

Advanced: Multi-Agent Coordination

For larger multi-agent systems:

Coordination Patterns: - Main agent delegates tasks to specialists - Agents report progress and request help - Shared knowledge base for common information - Cross-agent communication via sessions_send

Task Management: - Integrate with task tracking systems - Route work based on agent specialty - Track assignments and completions

Documentation: - Maintain agent roster in main workspace - Document delegation patterns - Keep runbooks for common workflows

Best Practices

  1. Organize channels in categories - Group related agent channels
  2. Use descriptive channel names - Clear purpose from the name
  3. Set specific system prompts - Give each channel clear context
  4. Document agent responsibilities - Keep SOUL.md updated
  5. Set up memory cron jobs - For agents with ongoing work
  6. Test agents individually - Before integrating into team
  7. Update gateway config safely - Always use config.patch, never manual edits

Requirements

Bot Permissions: - Manage Channels - To create/rename channels - View Channels - To read channel list - Send Messages - To post in channels

System: - OpenClaw installed and configured - Node.js/npm via nvm - Python 3.6+ (standard library only) - Discord bot token (for channel management)

See Also

รายละเอียด

เวอร์ชัน
v1.0.0
ดาวน์โหลด
4,557
ดาว
4
ClawHub
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