Tencent SkillHub · AI

Meme Collector 热梗收集器

自动搜集最新网络热梗并写入 Dify 知识库。用于定期更新热梗数据库，支持去重。触发词："收集热梗"、"更新热梗"、"热梗入库"、"meme collector"。当用户要求搜集/更新/补充网络热梗到 Dify 知识库时使用此 skill。

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

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Download mode: Manual review
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, references/meme-format.md, scripts/dify_ops.py

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

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Publisher: c4chuan
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Documentation

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

Meme Collector - 热梗收集器

自动从网上搜集最新网络热梗，与 Dify 知识库去重后写入新梗。

配置

运行前需要以下信息（优先从 TOOLS.md 或用户消息获取）：参数说明示例DATASET_IDDify 知识库 ID57bd8e53-b1bd-4124-8219-fff573733a40API_KEYDify API Keydataset-xxxPROXYHTTP 代理（访问 Dify API）http://127.0.0.1:20171 如果用户未提供，询问。

Phase 1: 获取已有梗（去重基准）

运行脚本获取知识库中已有的梗名称列表： python3 scripts/dify_ops.py --dataset-id $DATASET_ID --api-key $API_KEY --proxy $PROXY list 记住这个列表，后续搜集时跳过同名梗。

Phase 2: 搜集新梗

用 web_search 搜索最新热梗。搜索策略：搜索关键词组合（根据时间间隔调整）： "2025年最新网络热梗流行语" "最近一周网络热梗盘点" "抖音 B站最新流行梗" "网络流行语新梗盘点" "小红书微博热梗" 用 web_fetch 抓取搜索结果中的盘点文章，提取梗的详细信息目标：每次收集 10-20 条新梗（去重后）

Phase 3: 结构化 & 去重

对每条搜集到的梗：检查是否与已有梗重名或含义相同（名称不同但实质相同也要去重）按标准格式结构化（见 references/meme-format.md）评估热度等级

Phase 4: 批量写入

将去重后的新梗构造为 JSON 数组，用脚本批量写入： # JSON 格式：[{"name": "梗名称", "text": "Markdown内容"}, ...] python3 scripts/dify_ops.py --dataset-id $DATASET_ID --api-key $API_KEY --proxy $PROXY batch --json-file /tmp/new_memes.json 脚本会自动再次检查去重（双重保险）。

Phase 5: 汇报结果

向用户汇报：搜集到多少条梗去重跳过多少条成功写入多少条列出新写入的梗名称

注意事项

搜索时用 search_lang: "zh" 和 country: "CN" 确保中文结果热梗信息要准确，不确定的内容宁可不写也不要编造每条梗的"剧本融入指南"要具体实用，不要泛泛而谈写入间隔 1 秒，避免 API 限流

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Docs1 Scripts

SKILL.md Primary doc
references/meme-format.md Docs
scripts/dify_ops.py Scripts