MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。
Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, V2EX, LinkedIn/领英/招聘/求职/jobs, YouTube, 小宇宙播客, 雪球/股票行情, RSS feeds, or a non-GitHub web URL. Multi-platform, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: GitHub 相关操作（包括 GitHub URL、代码或仓库搜索、Issue、PR、 Actions 和 Release），由 github-cli 处理；写报告/数据分析/翻译等内容加工 （本 skill 只负责从互联网获取内容）；发帖/评论/点赞等写操作；已有专门 skill 的平台（先用专门 skill）。
【路由方式】SKILL.md 包含路由表和常用命令，复杂场景需按需阅读对应分类的 references/*.md。分类：search / social (小红书/推特/B站/V2EX/Reddit) / career(LinkedIn) / web(网页/文章/RSS) / video(YouTube/B站/播客)。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
多平台、多后端。本 skill 存在时必须用它访问这些平台，不要自己发明方案。
agent-reach doctor --json，按各平台 active_backend 字段选命令组。agent-reach check-update（很快，一个 API 调用）。有新版就在收尾汇报里附一句：
「Agent Reach 有新版 vX.Y.Z，复制这句话给我即可更新：帮我更新 Agent Reach：
https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/update.md」。
不要中断当前任务去更新，也不要重复提醒同一个版本。| 用户意图 | 分类 | 详细文档 |
|---|---|---|
| 网页搜索/代码搜索 | search | references/search.md |
| 小红书/推特/B站/V2EX/Reddit | social | references/social.md |
| 招聘/职位/LinkedIn | career | references/career.md |
| 网页/文章/RSS | web | references/web.md |
| YouTube/B站/播客字幕 | video | references/video.md |
# Exa 网页搜索
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'
# 通用网页阅读
curl -s "https://r.jina.ai/URL"
# YouTube 字幕（注意：B站不要用 yt-dlp，见 video.md）
yt-dlp --write-sub --skip-download -o "/tmp/%(id)s" "URL"
# V2EX 热门
curl -s "https://www.v2ex.com/api/topics/hot.json" -H "User-Agent: agent-reach/1.0"
# B站搜索（bili-cli，无需登录）
bili search "query" --type video -n 5
# Twitter 搜索（twitter-cli 首选；失败重试链见 social.md）
twitter search "query" -n 10
# Reddit（无零配置路径：OpenCLI 或 rdt-cli，必须登录态）
opencli reddit search "query" -f yaml # 桌面
rdt search "query" --limit 10 # 存量/服务器
# 小红书（桌面首选 OpenCLI）
opencli xiaohongshu search "query" -f yaml
# 检查可用 channel 与每个平台当前激活的后端
agent-reach doctor --json
不要在 agent workspace 创建文件。 使用 /tmp/ 存放临时输出，~/.agent-reach/ 存放持久数据。
根据用户需求，阅读对应的详细文档：
如果某个 channel 需要配置，获取安装指南： https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md
用户只需提供 cookies，其他配置由 agent 完成。
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使用 AACT (Aggregate Analysis of ClinicalTrials.gov) PostgreSQL 数据库进行大批量临床试验历史分析与数据挖掘。触发场景包括：AACT 查询、临床试验批量分析、PostgreSQL 试验数据、全量 NCT 检索、试验数据挖掘、clinical trials data warehouse、疾病领域全景分析、设计相似试验匹配、跨年度试验趋势聚合。本 skill 通过 SQL 接口处理百万级试验记录，支持云端公共 PostgreSQL 服务（aact-db.ctti-clinicaltrials.org）和每日 dump 本地还原两种连接方式，自动检测并优先使用本地高性能模式。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
使用 AACT (Aggregate Analysis of ClinicalTrials.gov) PostgreSQL 数据仓库进行批量、历史、聚合性临床试验数据挖掘。Use this skill when the user requests bulk SQL analysis over the full clinical trials data warehouse — historical trial trends, disease landscapes, similar-design matching, or multi-year aggregations across hundreds of thousands of NCT records. 触发场景包括：AACT 查询、临床试验批量分析、PostgreSQL 试验数据、全量 NCT 检索、试验数据挖掘、历史试验分析、clinical trials data warehouse、SQL trials、bulk trial analysis、disease landscape、试验设计相似性匹配、跨年度聚合、sponsor/phase/country 多维统计。**与 clinical-trials-v2 差异**：本 skill 走批量 SQL · 离线大数据（PostgreSQL）；v2 走实时 API · 单查询。两者互补：单条 NCT 实时状态用 v2，百万级历史挖掘用本 skill。支持云端公共 PostgreSQL（aact-db.ctti-clinicaltrials.org · 零部署）和每日 dump 本地还原（高性能 · 离线）两种连接方式，自动检测优先用本地。跨平台（macOS/Linux/Windows）参数化 SQL 防注入，read-only 强制保护。
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Use when work produces a deliverable, factual claim, dataset, code change, decision, publication, deployment, automation, or irreversible action whose failure would matter; when the user asks for a quality gate, acceptance criteria, QA, completeness, validation, audit, evidence, preflight, release readiness, or a definition of done; or before claiming completion on medium- or high-risk work. Automatically decide whether a formal gate is warranted, derive task-specific pass/fail criteria, gather evidence, and block unsupported completion. Make sure to use this skill even when the user does not say "quality gate" if consequential work needs acceptance criteria or completion evidence. Skip formal gating for trivial, reversible, low-impact requests.
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Create a changeset file in .changeset/ that describes a user-facing change for the release notes
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Add a new competitor to the AI Visibility Tool Directory — researches the tool, generates data, takes a screenshot, and inserts into the codebase
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Add tree-sitter language support to codegraph end-to-end — wire the grammar + extractor, write tests, then benchmark extraction quality and retrieval value on 3 popular real-world repos. Use when the user runs /add-lang <language> or asks to add/support a new language (e.g. Lua, Elixir, Zig, OCaml) in codegraph.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.