据 AlphaMoat 统计,截至 2026-09,Content Research 累计下载 4,059 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 2,503 位,在「内容创作」分类(362 个)中排名第 175 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 115 | 3,669 | 1 | - |
| SkillHub ↗ | 113 | 4,059 | 1 | — |
各平台的计数口径不同,统计时间不一致。
先搜索并筛选近期新闻,再按 Reddit、X/Twitter、Discord 或 LinkedIn 的格式生成摘要或帖子草稿;可采用不同内容角度或参考品牌语气。发布前应核实来源链接和内容准确性。 品牌配置文件不要写入秘密或账号凭据。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。 该技能有同名的其他版本,调整前的数据归属当前下载量最大的这一个。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,059 | — | 1 |
| 2026-08 | 3,530 | +5.1% | 1 |
| 2026-07 | 3,358 | +12.2% | 1 |
| 2026-06 | 2,992 | +6.9% | 1 |
| 2026-05 | 2,799 | — | 1 |
| 2026-03 | 1,571 | — | 1 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- name: content-research description: Research trending topics and generate platform-specific content. Triggers on "research [topic]", "what's new in [topic]", "content for [platform]", "create posts about [topic]". Supports Reddit, X/Twitter, Discord, LinkedIn with multiple content angles per platform. --- # Content Research Two-phase workflow: **Research** → **Create** ---
## Phase 1: Research **Triggers:** `research [topic]`, `what's new in [topic]` ### 1. Search Use web search to find recent news: ``` web_search(query="[topic] news", freshness="pw") ``` **Query patterns:** - News: `[topic] news` - Reddit: `site:reddit.com [topic]` - X/Twitter: `site:x.com [topic]` ### 2. Fetch Articles Extract article content: ``` web_fetch(url="[URL]", maxChars=8000) ``` ### 3. Filter - **7-day cutoff** — discard older content - Skip "what is X" explainers - Skip price predictions / TA - Prioritize: launches, partnerships, updates, drama, milestones ### 4. Present ```markdown ## [Topic] Research — [Date] 1. **[Headline]** - [Source] - [X days ago] [2-3 sentence summary] 2. **[Headline]** - [Source] - [X days ago] [2-3 sentence summary] [up to 5 items, newest first] ``` --- ## Phase 2: Content Creation **Triggers:** `create content for [platform]`, `#3 for reddit` ### Platform Formats #### Reddit - Hook title (no clickbait) - 2-4 conversational paragraphs - Include source link - End with discussion prompt **Angles:** 1. **News share** — Straightforward reporting 2. **Discussion** — "What do you think..." 3. **Analysis** — Your take on implications 4. **ELI5** — Simple explanation 5. **Contrarian** — Devil's advocate #### X/Twitter - Under 280 chars (or thread) - Hook first line - Line breaks for readability **Angles:** 1. **Breaking** — Just facts, urgency 2. **Hot take** — Engagement bait opinion 3. **Thread** — Multi-tweet breakdown 4. **Quote dunk** — React to announcement 5. **Meme** — Casual/funny #### Discord - Bullet lists (no tables) - Wrap links: `<https://...>` - Bold/CAPS for emphasis **Angles:** 1. **Alert** — One-liner + link 2. **Summary** — Key bullets 3. **Discussion** — Ask for reactions 4. **Thread** — Detailed breakdown 5. **Meme** — Community vibe #### LinkedIn - Professional tone - Lead with insight - 3-5 short paragraphs - End with question **Angles:** 1. **Industry insight** — What it means 2. **Lessons** — What we learn 3. **Prediction** — Where it's heading 4. **Career** — Professional implications 5. **Case study** — Deep dive --- ## Brand Voice (Optional) For branded content, create a `brand-config.md` file with your voice guidelines: ```markdown # Brand: [Name] ## Voice - [Tone descriptor] - [Communication style] ## Avoid - [Things not to say] ## Include - [Required elements] ``` When generating branded content, reference your brand config for consistency. --- ## Example Session ``` User: research defi Agent: [Returns 5 findings from past 7 days] User: 2 for reddit Agent: [5 Reddit angles for finding #2] User: angle 3 Agent: [Ready-to-post content] ```
识别并去掉文本里的 AI 写作痕迹,让文字读起来更像人写。
把文本里 AI 写作的典型痕迹挑出来并改写得更自然,同时保留原意的写作编辑技能。
识别并去除 AI 生成文本痕迹的中文文字编辑技能。
wechat-search 检索公众号热门文章,并按相关性、热度和时效整理结果。
从公开短视频分享链接提取标题、简介和口播文案,并给出改写版本。
humanizer 为中英文文本提供更自然的表达和风格编辑指导。
写网文章节并按文件落盘,聊天里只回摘要与指针。
把一组营销方法模块收进同一个技能,按请求路由到对应模块取清单与可交付稿。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。