用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill council命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
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基于 SOC 职业分类
| name | council |
| description | Council Chamber orchestration with Memory Bridge. Single session, multiple personas, structured deliberation. |
| metadata | {"clawdbot":{"emoji":"🏛️","requires":{"bins":["sqlite3"]},"features":{"memory_bridge":true,"chamber_pattern":true}}} |
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.
Initialize council database:
bash command:"{baseDir}/init-db.sh"
Traditional Approach (Silos):
Chamber Approach (Meeting Room):
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:
List all registered members.
Usage:
bash command:"sqlite3 -header -column ~/.clawdbot/council.db 'SELECT id, name, role FROM council_members'"
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');
\""
3-Turn Deliberation:
Turn 1: Initial Analysis
Turn 2: Cross-Pollination
Turn 3: Synthesis
| 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 |
# 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:
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.