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Batch Research

  • 38 installs
  • 550 repo stars
  • Updated July 11, 2026
  • miantiao-me/aigc-weekly

Helps with ai & agent building tasks during AI-assisted development.

About

batch-research is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • batch-research
  • AI & Agent Building
  • AI-coding skill

Batch Research by the numbers

  • 38 all-time installs (skills.sh)
  • +2 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #8,450 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/miantiao-me/aigc-weekly --skill batch-research

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Listed on Skillselion
Installs38
repo stars550
Last updatedJuly 11, 2026
Repositorymiantiao-me/aigc-weekly

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

Batch Research 技能

此技能用于指导 /weekly 命令如何高效、分批、并发地从多个数据源采集信息。

核心职责

作为批量调度器,负责:

1. 解析数据源列表 2. 生成所有待抓取 URL 3. 分批并发调用 researcher agent 4. 汇总结果生成报告

工作流程

Step 1: 准备阶段

1. 读取数据源:从 .opencode/REFERENCE.md 获取完整数据源列表 2. 生成 URL 列表

  • 静态 URL:直接使用
  • 动态 URL(Hacker News):使用 generateHNUrls(start_date, end_date)
import { generateHNUrls } from '.opencode/utils.mjs'

// Hacker News - 每天一个 URL
const hnUrls = generateHNUrls(start_date, end_date)
// 返回: [
//   "https://news.ycombinator.com/front?day=2026-03-22",
//   "https://news.ycombinator.com/front?day=2026-03-23",
//   ...
// ]

Step 2: 分批策略

将所有 URL 按优先级分为 3 批,每批 10-12 个 URL:

批次数据源类型来源
Batch 1Important ResourcesREFERENCE.md 中 "Important Resources" 部分
Batch 2Blogs & WebsitesREFERENCE.md 中 "Blogs & Websites" 部分
Batch 3KOL & InfluencersREFERENCE.md 中 "KOL & Influencers" 部分

Step 3: 并发调度

并发配置
参数说明
max_parallel5每轮最大并发数
batch_interval3s批次间等待时间
domain_rate_limit2 req/domain同域名限流
调度规则

对每个批次:

1. 分轮执行:将批次内 URL 按 max_parallel 分轮(如 12 个 URL 分 3 轮:5 + 5 + 2) 2. 轮内并发:同时启动该轮所有 researcher agent 3. 等待完成:等待当前轮所有 researcher 返回结果 4. 进入下一轮:当前轮全部完成后,等待 batch_interval,再启动下一轮 5. 批次完成后:进入下一个批次

调用 researcher 的参数格式

url: https://news.ycombinator.com/front?day=2026-03-22
source_name: Hacker News
week_id: Y26W12
start_date: 2026-03-22
end_date: 2026-03-28
current_date: 2026-03-25
timezone: UTC+0

并发调用示例(伪代码):

# Batch 1: Important Resources
并行调用:
  - researcher(url: "https://news.ycombinator.com/front?day=2026-03-22", source_name: "Hacker News")
  - researcher(url: "https://news.ycombinator.com/front?day=2026-03-23", source_name: "Hacker News")
  - researcher(url: "https://drafts.miantiao.me/", source_name: "Miantiao Drafts")
  - researcher(url: "https://www.solidot.org/search?tid=151", source_name: "Solidot")
  - ...

等待 Batch 1 全部完成

# Batch 2: Blogs & Websites
并行调用:
  - researcher(url: "https://www.anthropic.com/engineering", source_name: "Anthropic Engineering")
  - researcher(url: "https://claude.com/blog", source_name: "Claude Blog")
  - ...

等待 Batch 2 全部完成

# Batch 3: KOL & Influencers
并行调用:
  - researcher(url: "https://baoyu.io/", source_name: "Baoyu")
  - ...

等待 Batch 3 全部完成

Step 4: 日志记录

所有日志统一写入 logs/weekly-{week_id}.log仅用于人类审计,不作为恢复依据。

日志格式

[2026-03-25T12:34:56Z] [PHASE1] [INFO] 开始抓取 Hacker News
[2026-03-25T12:35:10Z] [PHASE1] [OK] Hacker News - 5 篇文章
[2026-03-25T12:35:15Z] [PHASE1] [FAIL] daily.dev - 429 Too Many Requests (retried 2)

日志级别

级别用途
INFO阶段/任务开始
OK任务成功(含文章数)
FAIL任务失败(含错误原因和重试次数)

Step 5: 汇总报告

所有批次完成后,在日志末尾生成汇总:

[2026-03-25T12:45:00Z] [PHASE1] [SUMMARY] 总数据源: 30 | 成功: 27 (X篇) | 失败: 3

约束与注意事项

  • 全量抓取:必须抓取所有数据源,不能跳过
  • 批次顺序:必须按批次顺序执行,等待当前批次完成后再进入下一批
  • 错误隔离:单个 researcher 失败不影响其他
  • 重试由 researcher 处理:本技能不负责重试,由 researcher 自行处理
  • 进入下一阶段前:必须完成所有批次的抓取

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