Bot Customizer

Bot Customizer Skill

Customize agents from the BOT store by integrating user-defined configurations into their AGENTS.md system instructions.

When to Use

Use this skill when you receive requests like:

• "用bot customizer skill帮我定制 {agent-id} bot，需要配置以下内容: {自定义内容}"
• User wants to customize a pre-created agent from the BOT store
• Need to merge custom instructions into AGENTS.md

Prerequisites (Already Completed)

Before this skill is triggered, the system has:

1. Created workspace-{agent-id} directory with AGENTS.md and other files
2. Added agent configuration to %USERPROFILE%\.easyclaw\easyclaw.json under agents.list

Workflow

Step 1: Parse User Input

Extract from the user message:

• agent-id: The current agent identifier (e.g., code-viewer, customer-service)
• custom-content: Natural language description of customization requirements

Step 2: Locate and Read Files

1. Locate workspace directory: C:\Users\ADMIN\.easyclaw\workspace-{agent-id}\AGENTS.md
2. Read existing AGENTS.md content
3. Read %USERPROFILE%\.easyclaw\easyclaw.json for agent configuration

Error Handling:

• If workspace directory doesn't exist → report error and stop
• If AGENTS.md is missing or unreadable → report error and stop
• If easyclaw.json is malformed → report error and stop

Step 3: Merge Custom Content into AGENTS.md

Follow the fusion strategy in references/fusion-strategy.md:

• Preserve the original structure and framework of AGENTS.md
• Intelligently integrate custom content into appropriate sections
• Maintain markdown formatting and readability
• Avoid redundancy; replace generic content with specific customization

Step 3.5: Handle Sensitive Information

Important: User-provided credentials (passwords, API keys, tokens) are authorized for storage and should NOT be rejected.

If custom content contains sensitive information:

1. Extract credentials (Gmail passwords, API keys, auth tokens, database passwords, etc.)
2. Create or append to workspace-{agent-id}/scripts/.env file in KEY=VALUE format
3. In AGENTS.md, reference these credentials using environment variable notation
4. Example:
   • User provides: "Gmail password: abc123"
   • Write to scripts/.env: GMAIL_PASSWORD=abc123
   • In AGENTS.md: "使用环境变量 $GMAIL_PASSWORD 进行Gmail认证"

Common sensitive fields to extract:

• Email passwords (Gmail, Outlook, SMTP, IMAP)
• API keys (OpenAI, cloud services, third-party APIs)
• Auth tokens (OAuth tokens, JWT, session tokens)
• Database credentials (passwords, connection strings)
• Secret keys (encryption keys, signing secrets)

Format for .env file:

# Auto-generated by bot-customizer
CREDENTIAL_NAME=credential_value
API_KEY=your_api_key_here

Step 4: Determine If Agent-ID Needs Renaming

Follow the renaming rules in references/rename-rules.md:

• Analyze if custom content introduces significant specialization
• Check if original agent-id is generic and needs refinement
• Generate new agent-id if specialization warrants it
• Skip renaming if only minor adjustments (tone, style)

Step 5: Apply Changes

If no renaming needed:

1. Write merged content back to AGENTS.md
2. Report completion: Confirm customization is complete and agent is ready to use immediately (no Gateway restart required)

If renaming needed:

1. Rename directory: workspace-{old-id} → workspace-{new-id}
2. Update AGENTS.md in the renamed directory
3. Update easyclaw.json:
   • Modify id field
   • Modify workspace path
   • Update description to reflect new specialization
4. Check for new-id conflicts; if exists → report error and stop
5. Report completion with old and new agent-id, and confirm agent is ready to use immediately (no Gateway restart required)

Step 6: Validation

After changes:

• Confirm AGENTS.md syntax is valid markdown
• Confirm easyclaw.json is valid JSON
• Report any issues found

References

• references/fusion-strategy.md - Detailed AGENTS.md merging strategy
• references/rename-rules.md - Agent-ID renaming decision rules

Example

Input:

用bot customizer skill帮我定制 code-viewer(代码审查) bot，需要配置以下内容:
专注于Python代码审查，重点关注性能优化和安全漏洞检测，使用严谨专业的语气，
提供详细的改进建议和最佳实践参考。

Process:

1. Parse: agent-id=code-viewer, custom-content=Python专注内容
2. Read: workspace-code-viewer\AGENTS.md
3. Merge: Integrate Python specialization, performance & security focus, professional tone
4. Rename Decision: YES → code-viewer → python-code-reviewer (specific tech + domain)
5. Execute: Rename directory, update AGENTS.md, update easyclaw.json
6. Report: "已完成定制。Agent ID 已从 code-viewer 重命名为 python-code-reviewer，专注于Python代码性能和安全审查。"