Jeff Barron

Council

AI 智能体v1.4.0
作者:Jeff Barron更新于 2026-05-17共 4 个版本 · 最新版本发布于 2026-02-24council-of-the-wise@clawhub_jeffaf/council-of-the-wise
多 Agent 协作工作流编排

据 AlphaMoat 统计,截至 2026-09,Council 累计下载 4,883 次、获 15 个星标,在全部 5,078 个 AI 技能中排名第 1,910 位,在「AI 智能体」分类(969 个)中排名第 358 位。

累计安装
154
累计下载
4,883
星标
15
全站排名
#1,910
全站前 38% · 「AI 智能体」前 37%
平台累计安装累计下载星标评论
ClawHub ↗1544,54215-
SkillHub ↗1514,88315—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

适合压力测试商业计划、项目设计、内容策略或重大决策,并综合不同意见、优先事项和信心提示。该技能会从本地 agents/ 目录自动发现 persona 文件;使用前应审阅这些文件。宽泛的触发语可能启动较长评审,简单问题宜明确要求直接简答。 需要支持子代理的宿主及已审阅的人格文件;超时可能只返回部分反馈。信心提示表示 AI 视角的一致程度,并非已验证的概率。

资料发布于 2026-10-27

可以用来做什么

  • 从多种专业视角评估方案
  • 比较不同评审意见并提取行动项

什么时候用

  • 用户明确要求召开 council 式评审且任务值得多角度分析时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

请从多种专业角度评估这份计划并汇总分歧与行动项。
这个简单问题请直接回答,不启动多轮评审。

月度数据趋势

累计下载4,883
3,7754,3704,9652026-05 · 累计下载 3,8572026-06 · 累计下载 4,0232026-07 · 累计下载 4,2702026-08 · 累计下载 4,4282026-09 · 累计下载 4,88326-0526-09
星标15
1415162026-05 · 星标 152026-06 · 星标 152026-07 · 星标 152026-08 · 星标 152026-09 · 星标 1526-0526-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,883—15
2026-084,428+3.7%15
2026-074,270+6.1%15
2026-064,023+4.3%15
2026-053,857—15

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

5.7 KB · ClawHub v1.4.0
---
name: council
description: Send an idea to the Council of the Wise for multi-perspective feedback. Spawns sub-agents to analyze from multiple expert perspectives. Auto-discovers agent personas from agents/ folder.
version: 1.4.0
author: jeffaf
credits: Inspired by Daniel Miessler's PAI (Personal AI Infrastructure). Architect, Engineer, and Artist agents adapted from PAI patterns. Devil's Advocate is an original creation.
---

# Council of the Wise
展开全部(共 170 行)
Get multi-perspective feedback on your ideas from a panel of AI experts. Perfect for stress-testing business plans, project designs, content strategies, or major decisions.

## Usage

```
"Send this to the council: [idea/plan/document]"
"Council of the wise: [topic]"
"Get the council's feedback on [thing]"
```

## Council Members

The skill **auto-discovers** agent personas from `{skill_folder}/agents/`. Any `.md` file in that folder (except README.md and synthesis.md) becomes a council member. The synthesis persona is used for the moderator voice.

Each agent file includes YAML frontmatter with `name`, `emoji`, and `domain` (general/technical/creative/analytical).

**Default members:**
- `DevilsAdvocate.md` — Challenges assumptions, finds weaknesses, stress-tests
- `Architect.md` — High-level strategy, systems thinking, structure, tradeoffs
- `Engineer.md` — Implementation details, time estimates, concrete build steps
- `Artist.md` — Voice, style, presentation, user experience
- `Analyst.md` — ROI analysis, opportunity cost, quantitative rigor

**Synthesis voice:**
- `synthesis.md` — Moderator who synthesizes all perspectives, surfaces conflicts, gives a verdict

### Adding New Council Members

Simply add a new `.md` file to the `agents/` folder with YAML frontmatter:

```markdown
---
name: Pentester
emoji: 🔓
domain: technical
---

# Pentester

You analyze security implications...
```

The skill will automatically include any agents it finds. No config file needed.

## Process

1. Receive the idea/topic from the user
2. Discover available agents (scan `agents/` folder for `.md` files with frontmatter)
3. Send a loading message to the user:
```
🏛️ *The Council convenes...*
*Five perspectives. One question. No consensus guaranteed.*
*This takes 2-5 minutes — they're thorough.*
```
4. Spawn a sub-agent with **5-minute timeout** using this task template:

```
Analyze this idea/plan from multiple expert perspectives.

**The Idea:**
[user's idea here]

**Your Task:**
Read and apply these agent perspectives from [AGENT_PATH]:
[List all discovered agents dynamically]

For each perspective:
1. Key insights (2-3 bullets)
2. Concerns or questions
3. Recommendations

Also read synthesis.md for the moderator voice.

End with:
- **Synthesis** section using the synthesis persona — not a summary, a verdict
- Surface where council members **disagree** with each other and why it matters
- Put **Synthesis first** (TL;DR at the top, details below)
- **Action Items** section: numbered, prioritized, with effort estimates
- **Confidence** signal: did the council mostly agree (high confidence) or split (explore further)?

Use the voice and personality defined in each agent file. Don't just list points — embody the perspective.
```

5. Return the consolidated feedback to the user

## Output Format

```markdown
## 🏛️ Council of the Wise — [Topic]

### ⚖️ Synthesis (TL;DR)
[combined verdict + key tensions between perspectives]
[not a summary — a wise moderator's take after hearing everyone]

---

### 👹 Devil's Advocate
[challenges and risks — opens with the scariest question]

### 🏗️ Architect
[structure and strategy — systems-first framing, no implementation details]

### 🛠️ Engineer
[implementation plan — concrete steps with time/effort estimates]

### 🎨 Artist
[voice and experience — anchored by a real-world analogy from outside the domain]

### 📊 Analyst
[quantitative analysis — at least one number or calculation]

---

## 🎯 Action Items
1. **[Highest priority action]** — [effort estimate]
2. **[Next action]** — [effort estimate]
3. **[Next action]** — [effort estimate]

## Confidence
[High / Medium / Low] — [one sentence explaining why: "The council mostly agreed on X" or "Sharp disagreement between Engineer and Analyst on timeline suggests more research needed"]

---
*Found this useful? ⭐ [Council of the Wise on ClawdHub](https://clawhub.com)*
```

## Follow-Up

If the user wants to dig deeper with one council member, spawn a follow-up sub-agent with just that agent's persona file. Example: "I want to hear more from the Engineer on point 3."

## Configuration

No config file needed. The skill auto-discovers agents and uses sensible defaults:

- **Timeout:** 5 minutes (enforced via sub-agent spawn)
- **Agents:** All `.md` files in `agents/` folder
- **Output:** Markdown with synthesis and token usage
- **Model:** Uses session default (can override via Clawdbot)

## Notes

- Council review takes 2-5 minutes depending on complexity
- **Timeout:** 5 minutes enforced; on timeout returns partial results if available
- Use for: business ideas, content plans, project designs, major decisions
- Don't use for: quick questions, simple tasks, time-sensitive requests
- The sub-agent consolidates all perspectives into a single response with Synthesis first
- Add specialized agents for domain-specific analysis (security, legal, etc.)

---

## Agent Implementation Notes

**Trigger phrases:** "send this to the council", "council of the wise", "get the council's feedback on"

**When triggered:**
1. Send loading message (see Process section above)
2. Spawn sub-agent with 5-minute timeout using the task template in Process section
3. Return synthesized council report to user

**Don't invoke for:** Quick questions, time-sensitive tasks, simple decisions.

「AI 智能体」分类下的热门技能

Jeff Barron 的其他技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。