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Agent Skill · 研究检索

feature-council(特色委员会)

feature-council 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

feature-council 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 60,207。

总安装 372周安装 16GitHub Stars 10下载 131核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:feature-council(特色委员会)
来源仓库:https://github.com/michaelboeding/skills
仓库路径:skills/feature-council
安装命令:
npx skills add https://github.com/michaelboeding/skills --skill feature-council
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/michaelboeding/skills --skill feature-council

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

通过多智能体协作实现同一功能,综合各方案优势形成完整实现。不同于多数投票式纠错,适用于具有多种有效实现路径的复杂功能。可配置 3-10 个求解器代理并行工作,平衡速度与覆盖广度。最终合并各代理实现中的最佳部分,提升功能完整性。适合需要多样化探索和全面覆盖的功能开发任务。

feature-council 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/feature-council

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/michaelboeding/skills --skill feature-council;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

feature-council 怎么安装?

在终端执行 npx skills add https://github.com/michaelboeding/skills --skill feature-council。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

feature-council 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

feature-council 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/michaelboeding/skills --skill feature-council 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

feature-council 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

feature-council 用的人多吗?

公开数据是累计安装 372 次,近一周安装 16 次,下载 131 次,GitHub 10 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

feature-council 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
feature-council

特色委员会 · 本页

37210执行命令未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Feature Council: Multi-Agent Feature Implementation

Spawns multiple agents to implement the same feature independently, then synthesizes the best parts from each. Unlike code-council (majority voting for bugs), this skill merges strengths because features have multiple valid approaches.

Use this for complex features where you want diverse implementations and comprehensive coverage.

Step 0: Ask User How Many Agents

Before doing anything else, ask the user how many solver agents to use:

How many solver agents would you like me to use? (3-10)

Recommendations:
- 3 agents: Faster, good for straightforward features
- 5 agents: Good balance of diversity and speed
- 7 agents: Comprehensive coverage
- 10 agents: Maximum diversity (complex features)

Note: Each agent will independently implement the entire feature.
More agents = more diverse approaches and edge case coverage.

Wait for the user's response. If they specified a number (e.g., "feature council of 5"), use that.

Minimum: 3 agents | Maximum: 10 agents


CRITICAL: Pure Independence

What This Means

  1. NO orchestrator exploration - Do NOT read files or gather context before spawning agents
  2. Raw user prompt to all agents - Each agent gets the user's original request, unchanged
  3. Each agent explores independently - Agents discover the codebase themselves
  4. Each agent implements fully - Complete, working implementations

Why This Matters

Independent implementations mean:

  • Different architectural choices to compare
  • Different edge cases discovered
  • Different error handling approaches
  • More comprehensive final solution

Workflow

Step 1: Capture the Raw User Prompt

Take the user's request exactly as stated. Do NOT:

  • ❌ Read files first
  • ❌ Explore the codebase
  • ❌ Add context
  • ❌ Rephrase or enhance the prompt

Just capture what the user said.

Step 2: Spawn Agents IN PARALLEL with RAW PROMPT

Spawn ALL agents simultaneously. Each gets the exact same raw prompt:

Task(agent: "feature-solver-1", prompt: "[USER'S EXACT WORDS]")
Task(agent: "feature-solver-2", prompt: "[USER'S EXACT WORDS]")
Task(agent: "feature-solver-3", prompt: "[USER'S EXACT WORDS]")
... (all in the SAME batch - parallel execution)

DO NOT modify the prompt. DO NOT add context. Raw user words only.

Step 3: Agents Work Independently

Each agent will:

  1. Read and understand the user's feature request
  2. Explore the codebase to understand existing patterns
  3. Design their approach
  4. Implement the complete feature
  5. Handle edge cases they identify
  6. Verify their implementation

Each agent works in complete isolation.

Step 4: Track Progress & Collect Solutions

As agents complete, show progress to the user:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
                     AGENT PROGRESS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
☑ Agent 1 - Complete
☑ Agent 2 - Complete
☑ Agent 3 - Complete
☐ Agent 4 - Working...
☐ Agent 5 - Working...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Collect all outputs when complete.

Step 5: Analyze & Compare Implementations

DO NOT use majority voting. Instead, analyze each implementation for:

CategoryWhat to Look For
ArchitectureDesign patterns, code organization, modularity
Edge CasesWhat edge cases did each agent handle?
Error HandlingHow robust is the error handling?
Type SafetyType definitions, null checks, validation
PerformanceEfficiency, caching, optimization
MaintainabilityReadability, documentation, testability
Codebase FitHow well does it match existing patterns?

Create a comparison matrix:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
                  IMPLEMENTATION COMPARISON
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

| Aspect          | Agent 1 | Agent 2 | Agent 3 | Agent 4 | Agent 5 |
|-----------------|---------|---------|---------|---------|---------|
| Architecture    | MVC     | Service | MVC     | MVC     | Modular |
| Edge Cases      | 3       | 5       | 4       | 3       | 6       |
| Error Handling  | Basic   | Robust  | Good    | Basic   | Robust  |
| Type Safety     | ✓       | ✓✓      | ✓       | ✓       | ✓✓      |
| Codebase Match  | 90%     | 75%     | 95%     | 85%     | 80%     |

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Step 6: Synthesize Best Solution

Combine the best elements from each agent:

  1. Select base implementation - Choose the one that best matches codebase patterns
  2. Incorporate edge cases - Add edge cases from other agents the base missed
  3. Enhance error handling - Use the most robust error handling approach
  4. Improve type safety - Merge type definitions and validations
  5. Document sources - Track which elements came from which agent
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
                     SYNTHESIS DECISION
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Base: Agent 3 (best codebase pattern match)

Incorporating from other agents:
├─ Agent 2: Robust error handling pattern
├─ Agent 5: Edge cases for [empty input, concurrent access]
├─ Agent 2: Type definitions for [UserInput, ValidationResult]
└─ Agent 4: Caching optimization

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Step 7: Create Finalized Implementation Plan

Before implementing, create a detailed execution plan from the synthesized solution:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
                 📋 IMPLEMENTATION PLAN
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

## Files to Create

| # | File Path | Purpose | Source |
|---|-----------|---------|--------|
| 1 | path/to/NewService.ts | Main service class | Agent 3 base |
| 2 | path/to/types.ts | Type definitions | Agent 2 |
| 3 | path/to/utils.ts | Helper functions | Agent 5 |

## Files to Modify

| # | File Path | Changes | Source |
|---|-----------|---------|--------|
| 1 | path/to/index.ts | Add export | Agent 3 |
| 2 | path/to/config.ts | Add config entry | Agent 4 |
| 3 | path/to/app.ts | Register service | Agent 3 |

## Implementation Order

1. **Create types.ts** (no dependencies)
   - Define interfaces and types
   - From: Agent 2

2. **Create utils.ts** (depends on types)
   - Add helper functions
   - From: Agent 5

3. **Create NewService.ts** (depends on types, utils)
   - Main implementation
   - From: Agent 3 + Agent 2 error handling

4. **Modify config.ts** (no dependencies)
   - Add configuration
   - From: Agent 4

5. **Modify index.ts** (depends on NewService)
   - Export new service
   - From: Agent 3

6. **Modify app.ts** (depends on all above)
   - Register and initialize
   - From: Agent 3

## Edge Cases to Handle

| Edge Case | How Handled | Source |
|-----------|-------------|--------|
| Empty input | Return early with default | Agent 5 |
| Null values | Null coalescing + validation | Agent 2 |
| Concurrent access | Mutex lock | Agent 5 |
| Network timeout | Retry with backoff | Agent 4 |

## Error Handling Strategy

- Pattern: [from Agent 2]
- Logging: [approach]
- Recovery: [approach]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

This plan ensures:

  • Correct dependency order
  • All edge cases addressed
  • Clear traceability to source agents

Step 8: Execute Implementation Plan

Follow the plan step-by-step. For each step:

  1. Create/modify the file as specified
  2. Verify it matches the synthesized approach
  3. Move to next step

Step 9: Report Results

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
                    FEATURE COUNCIL RESULTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

## 📊 Implementation Comparison

| Agent | Architecture | Edge Cases | Error Handling | Codebase Fit |
|-------|--------------|------------|----------------|--------------|
| 1     | [approach]   | [count]    | [quality]      | [%]          |
| 2     | [approach]   | [count]    | [quality]      | [%]          |
| ...   | ...          | ...        | ...            | ...          |

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

## 🔍 What Each Agent Contributed

### Agent 1
- Approach: [brief description]
- Unique strength: [what this agent did best]
- Used in final: [what was incorporated]

### Agent 2
- Approach: [brief description]
- Unique strength: [what this agent did best]
- Used in final: [what was incorporated]

... (for each agent)

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

## 📋 Implementation Plan Executed

| Step | File | Action | Status |
|------|------|--------|--------|
| 1 | path/to/types.ts | Created | ✅ |
| 2 | path/to/utils.ts | Created | ✅ |
| 3 | path/to/Service.ts | Created | ✅ |
| 4 | path/to/config.ts | Modified | ✅ |
| 5 | path/to/index.ts | Modified | ✅ |

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

## 🧬 Synthesis Breakdown

| Element | Source Agent | Reason |
|---------|--------------|--------|
| Base architecture | Agent 3 | Best codebase pattern match (95%) |
| Error handling | Agent 2 | Most comprehensive try/catch + logging |
| Edge case: empty input | Agent 5 | Only agent that handled this |
| Edge case: concurrent | Agent 5 | Race condition prevention |
| Type definitions | Agent 2 | Strictest typing |
| Caching layer | Agent 4 | Performance optimization |

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

## 📈 Final Solution Quality

- **Edge Cases Covered**: [total unique from all agents]
- **Error Handling**: [description]
- **Codebase Fit**: [% and explanation]
- **Type Safety**: [description]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

## ✅ Implemented Solution

[The synthesized implementation]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

## 📁 Files Created/Modified

[List of all files with brief descriptions]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Configuration

ModeAgentsUse Case
feature council of 33Simple features, faster
feature council of 55Good balance
feature council of 77Complex features
feature council of 1010Maximum coverage

If user just says feature council, ask them to choose.


Difference from Code Council

AspectCode CouncilFeature Council
PurposeBug fixes, algorithmsFeature implementation
SelectionMajority votingSynthesis/merge
OutputSingle winning solutionBest-of-all combined
MetricCorrectness consensusComprehensiveness

Agents

10 feature solver agents in agents/ directory:

  • feature-solver-1 through feature-solver-10

All agents:

  • Same instructions (focused on feature implementation)
  • Same temperature (0.7)
  • Same tools (Read, Grep, Glob, LS)
  • Use ultrathink (extended thinking)
  • Emphasize codebase pattern matching and edge case coverage

Why Synthesis > Voting for Features

With bugs, there's ONE correct answer. With features:

  • Multiple valid architectures exist
  • One agent might catch edge cases others miss
  • Error handling approaches can be combined
  • Type safety can be merged

Synthesis captures the union of good ideas rather than picking one.


When to Use

✅ Use feature-council for:

  • Complex features with many edge cases
  • Features where you're unsure of best approach
  • High-stakes production code
  • When you want comprehensive coverage

❌ Don't use for:

  • Simple CRUD operations
  • Bug fixes (use code-council instead)
  • When speed matters more than coverage

平台分布

Codex

33.89%
按下载量换算44

Claude

30.72%
按下载量换算40

Cursor

21.22%
按下载量换算28

Gemini CLI

10.66%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/michaelboeding/skills --skill feature-council 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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