council
Council Chamber orchestration with Memory Bridge. Single session, multiple personas, structured deliberation.
- License 许可
- MIT
- 最近更新
- 2026-04-05
- Stars
- ★ 7
- Forks
- 1
01 前言 Front Matter
- name
- council
- metadata
- { "clawdbot": { "emoji": "?️", "features": { "memory_bridge": true, "chamber_pattern": true }, "requires": { "bins": [ "sqlite3" ] } } }
- description
- Council Chamber orchestration with Memory Bridge. Single session, multiple personas, structured deliberation.
02 资源文件 7
- 参考文档_meta.json268 B
- 脚本init-db.sh1.9 KB
- 参考文档manifest.json1.1 KB
- 参考文档README.md774 B
- 脚本references/chamber-orchestrator.sh1.3 KB
- 脚本references/env-check.sh354 B
- 脚本references/graphiti-bridge.sh804 B
03 SKILL.md 正文
Council - Chamber Orchestration Pattern
Instead of spawning separate agent silos, create a Council Chamber where multiple expert personas deliberate in a single session with cross-pollination and unified transcript.
Prerequisites
- SQLite3 (member database)
- Graphiti service (Memory Bridge)
- Clawdbot gateway (sessions_spawn)
Setup
Initialize council database:
bash command:"{baseDir}/init-db.sh"
?️ The Chamber Pattern
Traditional Approach (Silos):
- Spawn 3 separate agents
- Each analyzes independently
- No cross-pollination
- Fragmented output
Chamber Approach (Meeting Room):
- Single agent session
- Moderates multiple personas
- Structured turn-taking
- Unified deliberation transcript
Tools
council_chamber
Start a Council Chamber session (recommended).
Usage:
bash command:"
TOPIC='YOUR_TOPIC'
MEMBERS='architect,analyst,security'
{baseDir}/references/chamber-orchestrator.sh \"\$TOPIC\" \"\$MEMBERS\"
"
What it does:
- Fetches Graphiti context (Memory Bridge)
- Loads member personas from database
- Constructs chamber task with turn structure
- Creates session record
- Outputs task for sessions_spawn
council_list_members
List all registered members.
Usage:
bash command:"sqlite3 -header -column ~/.clawdbot/council.db 'SELECT id, name, role FROM council_members'"
council_add_member
Register new member.
Usage:
bash command:"
sqlite3 ~/.clawdbot/council.db \"
INSERT INTO council_members (id, name, role, system_message, expertise)
VALUES ('MEMBER_ID', 'NAME', 'ROLE', 'SYSTEM_MESSAGE', 'EXPERTISE');
\""
Chamber Session Structure
3-Turn Deliberation:
-
Turn 1: Initial Analysis
- Each persona provides their perspective
- Distinct voices maintained
-
Turn 2: Cross-Pollination
- Members critique each other's points
- Real-time responses
- Healthy debate
-
Turn 3: Synthesis
- Find common ground
- Resolve disagreements
- Executive Summary for user
Default Members
| ID | Name | Role |
|---|---|---|
| architect | System Architect | Technical Design |
| analyst | Technical Analyst | Research & Analysis |
| security | Security Officer | Risk Assessment |
| designer | UX Designer | User Experience |
| strategist | Business Strategist | ROI & Strategy |
Example
# User: "Start council on Salesforce integration"
council_chamber topic:"Salesforce Integration" members:"architect,strategist"
# Output:
# ?️ Convening Council Chamber...
# ? Memory Bridge: [Retrieved 10 facts about Salesforce]
# ? Loaded 2 personas
# ✅ Chamber Task ready for sessions_spawn
Benefits:
- ✅ Cross-pollination (members respond to each other)
- ✅ Single transcript (one .jsonl file)
- ✅ Shared context (Memory Bridge loaded once)
- ✅ Structured output (3-turn deliberation)
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