菜单
Runs 3 AI models in parallel to independently analyze a problem and propose approaches. Compares all proposals against a rubric and selects the best. Can be invoked standalone or called from any agent (issue-resolver, pr-review, etc.).
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/syncfusion/maui-toolkit --skill multi-model-analysis命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | multi-model-analysis |
| description | Runs 3 AI models in parallel to independently analyze a problem and propose approaches. Compares all proposals against a rubric and selects the best. Can be invoked standalone or called from any agent (issue-resolver, pr-review, etc.). |
Analyze a problem or code change using three AI models in parallel, then compare and select the best approach.
The caller (agent or user) must provide:
| Input | Description |
|---|---|
| Subject | What is being analyzed — a proposed fix, a PR diff, a design approach, etc. |
| Context | Issue/PR description, root cause (if known), affected files and relevant source snippets |
| Primary approach | The default model's or caller's current proposed approach (optional — omit if no prior proposal exists) |
Before running, show the user:
🤖 Multi-Model Analysis available.
Subject: [one-line summary of what will be analyzed]
Three AI models will independently analyze this and propose approaches.
All proposals will be compared and the best selected.
Proceed with Multi-Model Analysis? (yes / no)
Launch all three agents simultaneously using the explore agent type with this prompt:
You are a senior .NET MAUI engineer reviewing code for the Syncfusion Toolkit for .NET MAUI.
Subject: [what is being analyzed]
Context:
[issue/PR description, root cause, affected files]
Source code context:
[relevant source snippets]
[If a primary approach exists:]
Primary approach already proposed:
[paste the primary approach]
Task: Propose your own independent approach. Include:
1. Exact files and methods involved
2. The proposed change (before/after or pseudocode)
3. Why this approach is correct and safe
4. Any risks or edge cases to watch for
[If primary approach exists: 5. Whether you agree or disagree with the primary approach, and why]
Be concise and specific. Do NOT implement — only propose.
| Agent | Model |
|---|---|
| Agent A | claude-sonnet-4.6 |
| Agent B | gpt-5.1 |
| Agent C | gemini-3-pro-preview |
Compare all proposals (primary + 3 agents) using this rubric:
| Criterion | Weight |
|---|---|
| Correctness — directly addresses the subject | High |
| Minimal change — fewest lines/files affected | High |
| Safety — no regressions, handles edge cases | High |
| Consistency with existing code style | Medium |
| Testability — easy to verify | Medium |
Select the best approach — one proposal or a synthesis of multiple.
Return a structured summary to the caller:
## Multi-Model Analysis Result
| Model | Approach Summary | Selected? |
|-------|-----------------|-----------|
| Primary / Default | [brief summary or "N/A"] | ✅ / ❌ |
| claude-sonnet-4.6 | [brief summary] | ✅ / ❌ |
| gpt-5.1 | [brief summary] | ✅ / ❌ |
| gemini-3-pro-preview | [brief summary] | ✅ / ❌ |
**Selected Approach**: [model name, or "synthesis of X+Y"]
**Reason**: [why this approach was chosen]
**Next Step**: [what the caller should do with this result]
If invoked from an agent, the agent records this in its state file and proceeds with the selected approach. If invoked directly, present the result to the user.