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Agent Skill · 研究检索

convening-experts(召集专家)

convening-experts 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。

convening-experts 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,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 66,577。

总安装 261周安装 11GitHub Stars 公开资料未说明下载 92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:convening-experts(召集专家)
来源仓库:https://github.com/arielperez82/agents-and-skills
仓库路径:skills/convening-experts
安装命令:
npx skills add https://github.com/arielperez82/agents-and-skills --skill convening-experts
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/arielperez82/agents-and-skills --skill convening-experts

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。

召集专家用于组织领域专家和方​​法学专家通过多轮协作讨论解决问题。适用于需要整合多方视角、挑战假设并生成推荐意见的复杂问题场景。通过单轮咨询或多轮讨论模式,支持独立分析或协同推理流程。安装前需确认权限范围、维护状态及是否涉及联网或文件操作。

convening-experts 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/convening-experts

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/arielperez82/agents-and-skills --skill conveni…;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

    它需要需要联网,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

convening-experts 怎么安装?

在终端执行 npx skills add https://github.com/arielperez82/agents-and-skills --skill convening-experts。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

convening-experts 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。

convening-experts 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

convening-experts 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。

convening-experts 用的人多吗?

公开数据是累计安装 261 次,近一周安装 11 次,下载 92 次。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。

convening-experts 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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

  • 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

  • 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
convening-experts

召集专家 · 本页

261—需要联网未明确有提醒

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

Convening Experts

Convene domain experts and methodological specialists to solve problems through multi-round collaborative discussion. Experts build on each other's insights, challenge assumptions, and synthesize recommendations.

Panel Format

Single-Round Consultation

For simpler problems requiring multiple viewpoints:

  1. Assemble panel (3-5 experts based on problem domain)
  2. Each expert provides independent perspective (parallel, not sequential)
  3. Synthesize recommendations with attribution

Multi-Round Discussion

For complex problems requiring collaborative reasoning:

  1. Round 1: Each expert analyzes problem independently
  2. Round 2: Experts respond to each other's insights, building on or challenging points
  3. Round 3 (if needed): Converge on synthesis, resolve disagreements
  4. Final synthesis: Integrated recommendations with decision framework

Expert Roles

Available expertise spans:

  • MSD domain experts (life sciences, engineering, manufacturing, quality, corporate functions)
  • Consulting framework specialists (strategic, process improvement, innovation, systems analysis, root cause)

See references/msd-domain-experts.md and references/consulting-frameworks.md for complete role catalog.

Agent loads relevant references based on problem domain.

Panel Convening Logic

Agent selects 3-5 experts based on problem characteristics:

Problem type → Primary expert + Supporting experts

  • Technical troubleshooting → Domain expert + Systems Thinker + Five Whys Facilitator
  • Strategic decision → McKinsey Consultant + relevant domain experts + SWOT Analyst
  • Process improvement → Six Sigma Black Belt + Lean Practitioner + domain Manufacturing Engineer
  • Product innovation → Design Thinking Facilitator + Jobs-to-Be-Done Specialist + relevant engineers
  • Root cause analysis → Domain expert + Five Whys Facilitator + Systems Thinker
  • Market positioning → Porter Framework Expert + Marketing Specialist + BCG Consultant
  • Cross-functional problem → Relevant domain experts + Bain Consultant (RAPID) + Systems Thinker

Response Format

Single-Round Format

---
type: assessment
endeavor: <endeavor>
subject: <subject>
date: <YYYY-MM-DD>
status: draft
initiative: <ID> (optional, when part of an initiative)
---

# Assessment: [Topic]

**Purpose:** [Why this panel was convened]
**Context:** [Background and constraints]

---

## Expert Panel: [Topic]

**Panel Members:**
- [Expert 1 Role]
- [Expert 2 Role]
- [Expert 3 Role]

---

### [Expert 1 Role]
[Independent analysis and recommendations]

### [Expert 2 Role]
[Independent analysis and recommendations]

### [Expert 3 Role]
[Independent analysis and recommendations]

---

## Synthesis
[Integrated recommendations with decision framework]

## Recommendations
[Actionable next steps]

Multi-Round Format

---
type: assessment
endeavor: <endeavor>
subject: <subject>
date: <YYYY-MM-DD>
status: draft
initiative: <ID> (optional, when part of an initiative)
---

# Assessment: [Topic]

**Purpose:** [Why this panel was convened]
**Context:** [Background and constraints]

---

## Expert Panel: [Topic]

**Panel Members:**
- [Expert 1 Role]
- [Expert 2 Role]
- [Expert 3 Role]

---

## Round 1: Initial Analysis

### [Expert 1 Role]
[Initial perspective]

### [Expert 2 Role]
[Initial perspective]

### [Expert 3 Role]
[Initial perspective]

---

## Round 2: Cross-Examination

### [Expert 1 Role] responds to [Expert 2 Role]
[Builds on or challenges specific points]

### [Expert 2 Role] responds to [Expert 3 Role]
[Integration or disagreement]

### [Expert 3 Role] responds to [Expert 1 Role]
[Synthesis attempt]

---

## Round 3: Convergence (if needed)

[Experts resolve disagreements and converge]

---

## Final Synthesis
[Integrated recommendations, highlighting consensus and productive disagreements]

## Recommendations
[Actionable next steps]

Persistent Report (Mandatory)

Every expert panel session MUST be written to the assessments directory under CANONICAL_ROOT (per /docs/layout) as a persistent artifact. The file is the primary deliverable; screen output is a summary.

File Naming Convention

assessment-<endeavor>-<subject>-<YYYY-MM-DD>.md

Follow the canonical naming grammar. Examples:

  • assessment-repo-initiative-naming-2026-02-10.md
  • assessment-product-pricing-strategy-2026-02-25.md

Required Frontmatter

---
type: assessment
endeavor: <endeavor>
subject: <subject>
date: <YYYY-MM-DD>
status: draft
initiative: <ID>  # optional, when panel is part of an initiative
---

Required Content Sections

The written file must include ALL of:

  1. Purpose and Context — Why the panel was convened, background, constraints
  2. Panel metadata — Topic, date, format used, panel members with roles
  3. Full expert analysis — Every round, every expert's complete contribution
  4. Cross-examination / discussion — For multi-round panels, the full exchange
  5. Final synthesis — Integrated findings with decision framework
  6. Actionable recommendations — Concrete next steps

Workflow

  1. Write the file first to the assessments directory under CANONICAL_ROOT (per /docs/layout) with all sections above
  2. Then summarize to screen — concise summary with key findings and a reference to the file path

The persistent file is the canonical record. Screen output helps the user quickly understand the outcome and locate the full report.

Expert Behavior Guidelines

Domain Experts:

  • Apply MSD context (ECL platform, regulatory constraints, validated systems)
  • Use domain-appropriate terminology without over-explanation
  • Prioritize practical implementation over theoretical perfection
  • Flag domain-specific risks and constraints

Framework Experts:

  • Apply frameworks systematically (show the structure)
  • Adapt frameworks to problem context (not rigid application)
  • Explain "why this framework" for this problem
  • Integrate domain context when applying generic frameworks

Cross-Panel Interaction:

  • Reference other experts' points specifically ("Building on [Expert]'s observation about...")
  • Challenge constructively ("I see it differently because...")
  • Synthesize across disciplines ("This connects [Expert 1]'s technical constraint with [Expert 2]'s business priority...")
  • Flag tensions between perspectives explicitly

Disagreement Handling:

  • Make disagreements productive (what assumptions differ?)
  • Present multiple valid approaches when consensus isn't required
  • Identify decision criteria to resolve disagreements
  • Escalate to user if expert consensus can't be reached

Decision Frameworks

When panel must recommend action:

RAPID (Bain)

  • Recommend: Panel's recommendation with rationale
  • Agree: Which stakeholders must agree
  • Perform: Who implements
  • Input: Who provides input
  • Decide: Who makes final decision

Weighted Decision Matrix

  • Criteria (importance weighted)
  • Options scored on each criterion
  • Total score with sensitivity analysis

Risk-Benefit Analysis

  • Upside potential (probability × impact)
  • Downside risk (probability × impact)
  • Mitigation strategies
  • Decision under uncertainty

MSD Integration

Apply MSD-specific context automatically:

Technical constraints:

  • ECL platform and assay chemistry
  • ISO 13485 compliance and validated systems
  • Regulatory requirements (FDA, CE marking)
  • Technology stack (Python, AWS, Java, TypeScript)

Business context:

  • Life sciences market dynamics
  • Customer segments (pharma, biotech, CRO, academic)
  • Competitive landscape

Cultural factors:

  • Scientific rigor and data-driven decisions
  • Cross-functional collaboration norms
  • Innovation balanced with risk management
  • Quality and regulatory consciousness

Examples

Example 1: Technical Troubleshooting

User: Our new assay is showing high background signal in serum samples

Claude convenes:
- Assay Scientist (primary)
- Systems Thinker (feedback loops)
- Five Whys Facilitator (root cause)

Format: Multi-round (technical nuance requires collaboration)

Example 2: Strategic Decision

User: Should we build internal ML infrastructure or use vendor solutions?

Claude convenes:
- Software Engineer (implementation)
- McKinsey Consultant (strategic framing)
- Finance Analyst (cost analysis)
- DevOps Engineer (operational implications)

Format: Single-round → RAPID framework synthesis

Example 3: Process Improvement

User: Manufacturing yield dropped 8% after equipment upgrade

Claude convenes:
- Manufacturing Engineer (primary domain)
- Six Sigma Black Belt (DMAIC)
- Systems Thinker (unintended consequences)

Format: Multi-round (root cause needs collaborative analysis)

Craft Flow Integration

Expert panels integrate into the /craft SDLC flow as opt-in quality checkpoints at phase gates. The orchestrator recommends panels based on initiative complexity; users can accept or skip.

Blast-Radius Classification

Initiatives are classified into 5 complexity tiers after Phase 0 approval. The tier determines which phases offer panel checkpoints:

TierPanel PhasesDescription
Strategic0, 1, 2, 3Cross-initiative, 4+ domains, or 15+ steps
Complex0, 1, 22+ domains with high blast radius
Medium2Code/mixed with 4+ steps
Light2Docs-only with 2+ downstream consumers
Trivial(none)Low complexity, no panels

Panel Templates

Four panel templates are available for craft flow checkpoints. See references/craft-panel-templates.md for full composition, format, and prompt templates:

  • Discovery Panel — Phase 0, Complex+. Validates problem framing and value proposition.
  • Requirements Panel — Phase 1, Complex+. Validates user stories and acceptance criteria.
  • Design Panel — Phase 2, Light+. Reviews architecture with ops and domain perspectives.
  • Plan Review Panel — Phase 3, Strategic only. Validates plan decomposition and dependencies.

Phase-Panel Mapping

PhasePanelMinimum TierFormat
0: DiscoverDiscoveryComplex3-round
1: DefineRequirementsComplex3-round
2: DesignDesignLightSingle-round (Light) / 3-round (Medium+)
3: PlanPlan ReviewStrategic3-round

For full orchestration logic and checkpoint behavior, see commands/craft/craft.md.

Constraints

Never:

  • Use fictional names for experts (use role titles only: "Software Engineer", not "Dr. John Smith, Software Engineer")
  • Invent MSD-specific details beyond general domain knowledge
  • Apply frameworks rigidly without problem context
  • Create artificial consensus when legitimate disagreements exist
  • Include experts who add no value (quality over quantity)
  • Make experts repeat information (each should contribute uniquely)

Always:

  • Write the complete panel session to the assessments directory under CANONICAL_ROOT (per /docs/layout) as a persistent assessment document
  • Select experts genuinely relevant to problem
  • Show framework structure when applying consulting methods
  • Make cross-expert references specific and substantive
  • Provide decision-ready synthesis (not "here are perspectives, you decide")
  • Acknowledge uncertainty explicitly when present

Activation Decision Tree

Is problem complex with multiple valid approaches?
├─ Yes → Expert panel
│   ├─ Spans multiple domains? → Multi-round discussion
│   └─ Needs diverse perspectives? → Single-round consultation
└─ No → Direct answer (don't force panel format)

Requires systematic framework?
├─ Yes → Include framework expert
└─ No → Domain experts only

MSD-specific context relevant?
├─ Yes → Include domain experts, apply MSD constraints
└─ No → Generic consulting approach

Quality Indicators

Good panel:

  • Each expert contributes unique insight
  • Cross-references are specific and substantive
  • Framework application shows structure and reasoning
  • Synthesis provides decision-ready recommendations
  • Disagreements are productive and resolved (or flagged)

Poor panel:

  • Experts repeat same points
  • Generic advice not grounded in frameworks or domain
  • No synthesis or integration across perspectives
  • Consensus forced despite legitimate disagreements
  • Panel format used when direct answer would suffice

平台分布

Codex

35.97%
按下载量换算33

Claude

31.11%
按下载量换算29

Cursor

16.55%
按下载量换算15

Gemini CLI

8.08%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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