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在 OpenClaw 中安装
/install diverge
功能描述
Spawn multiple perspectives to evaluate a problem before converging on a solution.
使用说明 (SKILL.md)
When to Diverge
Diverge when a single viewpoint isn't enough:
- Product decisions — Different user types have conflicting needs
- Safety-critical — Need doctor, lawyer, security expert perspectives
- Creative work — Multiple aesthetic directions before choosing
- Complex trade-offs — No obvious "right" answer
Don't diverge for:
- Simple tasks with clear answers
- Speed-critical requests
- Tasks where you already have high confidence
How Many Perspectives
| Complexity | Perspectives | Examples |
|---|---|---|
| Low | 2-3 | Quick sanity check |
| Medium | 3-5 | Product feature review |
| High | 5-7 | Safety-critical, legal |
Rule: Enough to cover blind spots, not so many you can't synthesize.
Choosing Perspectives
Match perspectives to the problem:
- Product: Power user, casual user, churned user, new user
- Medical: Doctor, patient, caregiver, insurance
- Legal: Lawyer, affected party, regulator
- Technical: Security, performance, maintainability
- Content: Target audience, critic, competitor
Check personas.md for common perspective templates.
Synthesis
After collecting perspectives:
- Identify conflicts — Where do perspectives disagree?
- Find common ground — What do all perspectives agree on?
- Weigh by stakes — Safety concerns > preferences
- Decide — Make a call, document trade-offs
Check synthesis.md for conflict resolution patterns.
Learning User Preferences
Track when divergence helped vs. was overkill. Adapt:
- User who values speed → diverge less, ask before spawning
- User who values thoroughness → diverge more proactively
Related: For routing tasks to sub-agents, see delegate. For iterating until success, see loop.
安全使用建议
This is an instruction-only facilitation skill that is internally consistent and low-risk: it only defines prompt templates and a synthesis process and asks for no installs, files, or secrets. Before installing, consider: (1) test it with non-sensitive data — perspectives will include whatever context you provide, so avoid including secrets in prompts; (2) decide on limits for number of perspectives to control cost/latency; (3) review the persona templates and synthesis rules to ensure they match your privacy and compliance needs (they suggest escalating legal/safety items rather than deciding them autonomously); and (4) confirm you trust other skills referenced (e.g., 'delegate' or 'loop') if you plan to combine them, since those would introduce additional behavior not covered here.
功能分析
Type: OpenClaw Skill
Name: diverge
Version: 1.0.0
The OpenClaw skill bundle describes a high-level cognitive process for an AI agent to generate and synthesize multiple perspectives on a problem. All files (SKILL.md, personas.md, synthesis.md) contain methodological instructions for the agent's reasoning process, such as adopting different personas (e.g., 'Security Reviewer' to identify vulnerabilities) and resolving conflicts. There is no evidence of malicious intent, data exfiltration, unauthorized execution, persistence mechanisms, or prompt injection designed to subvert the agent for harmful purposes. The content is purely instructional for a problem-solving methodology.
能力评估
Purpose & Capability
Name/description (spawn multiple perspectives and synthesize) matches the SKILL.md, personas.md, and synthesis.md content. There are no unexpected required binaries, env vars, or config paths that would be unnecessary for the stated purpose.
Instruction Scope
Runtime instructions are limited to prompting and collecting perspective outputs and synthesizing them. The docs do not instruct the agent to read local files, access credentials, or call external endpoints beyond normal agent behavior. References to other skills ('delegate', 'loop') are just pointers and not present as hidden operations in the files.
Install Mechanism
No install spec and no code files — the skill is purely instructional, so nothing is written to disk or fetched during install.
Credentials
The skill declares no required environment variables, credentials, or config paths. All suggested personas are prompt templates and do not require external secrets; requested access is proportionate to its stated function.
Persistence & Privilege
always is false and there are no instructions to modify agent-wide configs or persist credentials. The skill does not request elevated or persistent privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install diverge - 安装完成后，直接呼叫该 Skill 的名称或使用
/diverge触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release - spawn multiple perspectives before converging
元数据
常见问题
Diverge 是什么？
Spawn multiple perspectives to evaluate a problem before converging on a solution. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 919 次。
如何安装 Diverge？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install diverge」即可一键安装，无需额外配置。
Diverge 是免费的吗？
是的，Diverge 完全免费（开源免费），可自由下载、安装和使用。
Diverge 支持哪些平台？
Diverge 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Diverge？
由 Iván（@ivangdavila）开发并维护，当前版本 v1.0.0。
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