---
name: Prompt Optimization
slug: prompt-optimization
category: AI Engineering
description: Prompt Optimization lets you view and revise an agent’s system prompt and member prompts. Use it when you want to change the agent’s behavior, focus, or response style.
github: "https://github.com/wecode-ai/Wegent/tree/main/backend/init_data/skills/prompt-optimization"
language: TypeScript
stars: 712
forks: 125
install: "npx degit https://github.com/wecode-ai/Wegent/tree/main/backend/init_data/skills/prompt-optimization ~/.claude/skills/prompt-optimization"
installs_to: ~/.claude/skills/prompt-optimization
source_path: backend/init_data/skills/prompt-optimization/SKILL.md
collection_size: 18
category_size: 2451
collection_url: "https://dirskills.com/collections/wecode-ai/Wegent"
added: 2026-08-23T05:20:31.888Z
last_synced: 2026-08-23T05:20:31.888Z
canonical_url: "https://dirskills.com/skills/prompt-optimization"
---

# Prompt Optimization

Prompt Optimization lets you view and revise an agent’s system prompt and member prompts. Use it when you want to change the agent’s behavior, focus, or response style.

**Install:**

```bash
npx degit https://github.com/wecode-ai/Wegent/tree/main/backend/init_data/skills/prompt-optimization ~/.claude/skills/prompt-optimization
```

## README

# Prompt Optimization Skill

This skill allows you to view and modify the system prompts of the current AI agent (Team).

## Available Tools

- `get_team_prompt()` — Get the current prompt and source mapping for the team
- `submit_prompt_changes(changes)` — Send optimized prompts to the user for review

## Workflow

### Step 1: Get Current Prompts

Call `get_team_prompt()`. It returns:
- `team_id`: The team's database ID
- `assembled_prompt`: The full assembled prompt
- `sources`: Array of prompt sources, each with:
  - `type`: `"ghost"` (base prompt) or `"member"` (team member prompt)
  - `id`: Resource ID (Ghost ID or Team ID)
  - `name`: Display name (Ghost name or Bot name)
  - `field`: Field name (e.g., `"systemPrompt"` or `"prompt"`)
  - `content`: The actual prompt text
  - `index`: Member index (only for `"member"` type)

### Step 2: Analyze and Rewrite

Based on the user's request, determine which source(s) need modification:
- If the user wants to change the agent's core behavior → modify the `ghost` source
- If the user wants to change a specific team member's role → modify the `member` source
- You may modify multiple sources if needed

**Rules:**
- Only modify the sources that are relevant to the user's request
- Preserve the overall structure and intent of unrelated parts
- Write complete, production-quality prompts (not just appending text)
- If the original prompt is in Chinese, write the modification in Chinese
- If the original prompt is in English, write the modification in English

### Step 3: Submit Changes

Call `submit_prompt_changes(changes=[...])` with your changes. Each change must include:

```json
{
  "type": "ghost",          // or "member"
  "id": 561,                // from source.id
  "name": "Ghost名称",      // from source.name, used for display
  "field": "systemPrompt",  // from source.field
  "original": "原始内容",    // from source.content
  "suggested": "修改后内容",  // your optimized version
  "index": 0                // only for "member" type, from source.index
}
```

This will display interactive cards to the user showing the original vs modified prompt.
The user can then apply or cancel each change independently.

## Example

User: "让这个AI更关注Python编程"

```
1. Call get_team_prompt()
   → sources: [{ type: "ghost", id: 561, name: "code-helper", field: "systemPrompt", content: "You are a code assistant." }]

2. Rewrite the prompt:
   "You are a code assistant specializing in Python programming. Focus on Python best practices, common patterns, and debugging Python code."

3. Call submit_prompt_changes(changes=[{
     type: "ghost",
     id: 561,
     name: "code-helper",
     field: "systemPrompt",
     original: "You are a code assistant.",
     suggested: "You are a code assistant specializing in Python programming. Focus on Python best practices, common patterns, and debugging Python code."
   }])
```

## Important Notes

- The user must have Developer+ permission on the target resources to apply changes
- Changes are NOT applied automatically — the user reviews and clicks "Apply" on each card
- After the user applies changes, the tool returns `__silent_exit__` to end silently