Tencent SkillHub · Data Analysis

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skill openclawclawhub Free

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High Signal

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: CHANGELOG.md, README.md, README.zh-CN.md, SKILL.md, agents/openai.yaml

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 2.0.2

Provenance

Publisher: DoTheWorkNow
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

XHunt 热门推文提取（v2）

目标：稳定输出“可直接转发/复盘”的热门推文清单（链接 + 一句话摘要 + 核心互动数据）。

1) 参数解析（先做）

默认参数： group=global hours=24 tag=ai limit=20 mode=all（不过滤政治）按用户话术覆盖： “华语区”→ group=cn “4小时/1小时/24小时”→ hours “只要AI”→ tag=ai “全部最火”→ 不传 tag “Top10/Top20/Top30”→ limit “只看AI产品/模型更新”→ mode=ai-product-only “可以有政治争议”→ mode=all URL 模板：基础：https://trends.xhunt.ai/zh/tweets?group=<group>&hours=<hours> 有标签：在末尾追加 &tag=<tag>

2) 抓取策略（固定顺序）

优先 browser 打开目标 URL + snapshot(refs=aria)。从榜单卡片提取：排名、作者、链接、标题、views、likes、retweets、热度。若 browser 失败，降级 web_fetch，并在输出首行标注：说明：本次使用降级抓取，字段可能不完整。若两种抓取都失败，直接返回错误说明，不得编造数据：说明：抓取失败（网络或页面结构变化），请稍后重试。

mode=all

不做内容过滤（含政治争议）。

mode=ai-product-only

保留：模型发布/更新（如 Claude、GPT、Qwen、Gemini 等） AI 产品与工具更新（如 Cursor、Perplexity、Notion AI、Devin 等） AI agent/workflow/开发工具实操内容 AI 基础设施与算力（与 AI 直接相关）剔除：纯政治选举/党争（无 AI 主体）纯加密炒作（无 AI 主体）娱乐八卦与空洞内容若过滤后不足 limit：继续向后补齐；仍不足则如实返回实际条数，不编造。

4) 输出格式（严格）

首行口径：数据源：XHunt 推文榜（<group> / <hours>h / <tag或全部>）列表：每条固定 3 行 N) <tweet_url> 摘要：<一句中文摘要> 数据：<views>｜<likes>｜<retweets>｜热度<score> 末尾补“观察”3条：当前最强话题簇高互动内容的共同结构适合用户二次创作的切入角度

5) 质量门槛

不输出无链接条目。不输出“内容为空”类摘要；遇到则跳过补位。摘要必须是“信息点 + 结果/影响”，避免空话。数据字段缺失时写“NA”，不要臆造。若过滤后不足 limit，返回真实条数，并在末尾加一句：说明：符合条件条目不足 <limit>，已返回全部可用结果。

6) 快速模板（执行时可直接套）

用户：四小时最火帖子，只要AI，给我Top20，每个一条摘要执行参数： group=global hours=4 tag=ai limit=20 mode=ai-product-only

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

4 Docs1 Config

SKILL.md Primary doc
CHANGELOG.md Docs
README.md Docs
README.zh-CN.md Docs
agents/openai.yaml Config