Batch

Process multiple items with progress tracking, checkpointing, and failure recovery. 核心能力: - 效率工具领域的专业化AI辅助工具 - 基于高人气开源Skill深度优化升级 - 移除风险代码,增强安全性和稳定性 适用场景: - 工作流自动化、任务调度、批处理 - 独立开发者与一人公司效率提升 - 自动化工作流与智能决策辅助 差异化:经过深度优化,去除原始风险代码,清理外部依赖引用,增强元数据和触发关键词,完全适配SkillHub平台规范。 触发关键词: items, progress, batch, multiple, process

Before Starting

1. Dry run: Test with 2-3 items first
2. Count: "Processing 47 items, ~2 min estimated"
3. Confirm destructive ops: "This will delete 200 files. Proceed?"

During Processing

• Progress every 10 items: "23/47 complete (49%)"
• Checkpoint every 10-50 items: Save state to resume if interrupted
• On error: Log it, continue with rest (don't abort entire batch)

After Completion

Always report:

text

✅ 44 succeeded
❌ 3 failed (saved to failed.json for retry)

Error Handling

Error	Action
Timeout, rate limit	Retry 3x with backoff (1s, 2s, 4s)
Bad format, missing data	Skip, log, continue
Auth failed, disk full	Abort entire batch

Check strategies.md for parallel vs sequential decision matrix. Check errors.md for retry logic and rollback patterns.

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Related: For delegating to sub-agents, see delegate.

依赖说明

运行环境

• Agent平台: 支持SKILL.md的任意AI Agent(Claude Code / Cursor / Codex / Gemini CLI等)
• 操作系统: Windows / macOS / Linux

第三方依赖

依赖项	类型	是否必需	获取方式
LLM API	API	必需	由Agent内置LLM提供

API Key 配置

• 本Skill基于Markdown指令,无需额外API Key(除内容中明确标注的外部API)

可用性分类

• 分类: MD+EXEC(纯Markdown指令,部分功能需要exec命令行执行能力)
• 说明: 基于Markdown的AI Skill,通过自然语言指令驱动Agent执行任务