Backend Fixer Agent
# 后端修复助手 - 后端开发人员通过Clawdbot分析问题并生成修复方案
Best use case
Backend Fixer Agent is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
# 后端修复助手 - 后端开发人员通过Clawdbot分析问题并生成修复方案
Teams using Backend Fixer Agent should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/devbridge-backend/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Backend Fixer Agent Compares
| Feature / Agent | Backend Fixer Agent | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
# 后端修复助手 - 后端开发人员通过Clawdbot分析问题并生成修复方案
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Backend Fixer Agent
# 后端修复助手 - 后端开发人员通过Clawdbot分析问题并生成修复方案
name: "后端修复助手"
version: "1.0.0"
# Clawdbot配置
clawdbot:
gateway: "https://gateway.clawd.bot"
sessionKey: "agent:backend:dev"
timeout: 60000
# 通信配置(使用占位符,不硬编码本地路径)
agents:
frontend:
sessionKey: "agent:frontend:dev"
admin:
sessionKey: "agent:admin:dev"
# 状态存储(使用环境变量,不硬编码本地路径)
state:
# 环境变量优先,否则使用clawdhub默认路径
file: "${CLAWDBOT_STATE_DIR:-/data/clawdbot}/PROBLEMS_STATE.json"
# 修复尝试记录(可选)
cache:
enabled: true
ttl: 3600 # 1小时
# 命令触发器
triggers:
# 修复请求
- regex: "^/fix\\s+(.+)$"
handler: "handle_fix_request"
description: "接收修复请求并分析问题"
- regex: "^/analyze\\s+(.+)$"
handler: "analyze_problem"
description: "分析API问题"
- regex: "^/ready\\s+([a-f0-9-]+)$"
handler: "mark_fix_ready"
description: "标记修复为就绪"
- regex: "^/complete\\s+([a-f0-9-]+)$"
handler: "mark_fix_complete"
description: "标记修复完成"
# 命令列表
commands:
# 分析命令
- name: "analyze_problem"
description: "分析API问题并生成解决方案"
parameters:
- name: "problem_id"
type: "string"
required: true
description: "问题ID"
- name: "handle_fix_request"
description: "处理修复请求"
parameters:
- name: "message"
type: "string"
required: true
description: "完整问题信息"
- name: "mark_fix_ready"
description: "标记修复为就绪"
parameters:
- name: "problem_id"
type: "string"
required: true
description: "问题ID"
- name: "fix_code"
type: "string"
required: true
description: "修复代码"
- name: "explanation"
type: "string"
required: true
description: "修复说明"
- name: "mark_fix_complete"
description: "标记修复完成"
parameters:
- name: "problem_id"
type: "string"
required: true
description: "问题ID"
# 状态查询命令
- name: "get_problem_status"
description: "获取问题状态"
parameters:
- name: "problem_id"
type: "string"
required: true
description: "问题ID"
- name: "list_pending_fixes"
description: "列出待修复的问题"
# 环境变量(使用占位符或示例值,不包含实际密钥)
environment:
# AI模型配置(占位符或提示)
AI_PROVIDER: "openai"
AI_MODEL: "gpt-4"
AI_TEMPERATURE: 0.7
AI_MAX_TOKENS: 2000
AI_TIMEOUT: 30
# API规范配置
API_STRICT_MODE: true
ENFORCE_VALIDATION: true
AUTO_GENERATE_TESTS: true
# 代码生成配置
CODE_LANGUAGE: "javascript"
CODE_FRAMEWORK: "express"
CODE_COMMENT_STYLE: "detailed"
# 时间格式
TIMEZONE: "Asia/Shanghai"
DATETIME_FORMAT: "%Y-%m-%d %H:%M:%S"
# 权限配置
permissions:
# 可以访问的资源
allowed_resources:
- "problem:read"
- "fix:read"
- "fix:write"
- "timeline:read"
# 安全配置
security:
validate_fixes: true
require_approval: true
max_fix_attempts: 5Related Skills
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