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。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 154 | 4,542 | 15 | - |
| SkillHub ↗ | 151 | 4,883 | 15 | — |
各平台的计数口径不同,统计时间不一致。
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
以下是根据技能文档生成的示例,不代表实际运行结果。
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 |
|---|---|---|---|
| 2026-09 | 4,883 | — | 15 |
| 2026-08 | 4,428 | +3.7% | 15 |
| 2026-07 | 4,270 | +6.1% | 15 |
| 2026-06 | 4,023 | +4.3% | 15 |
| 2026-05 | 3,857 | — | 15 |
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。
--- 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
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.
把开发过程中的经验、错误与纠正记录为 Markdown 文件,供后续复用并晋升为工作区记忆。
用自然语言描述需求,在本地与远程技能市场里找技能并给出推荐的技能。
给 AI agent 用的浏览器自动化命令行技能。
把用户纠正与自我复盘沉淀成分层记忆、并按使用情况升降级的技能。
在安装第三方技能之前,按清单审查来源、权限与危险模式的技能。
把 agent 的记忆与跨技能状态存成带类型和约束的知识图谱的技能。
一份为 AI 代理规划主动跟进、工作记忆与复盘流程的工作区配置指南。
指导如何创建与更新有效 Claude 技能的写作指南。
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。