Search TikTok from chat, collect creator videos, and run async product/trend insight jobs via Gecho Bridge MCP.
Publisher
Skills by gecho-ai
28 published skills, 58 installs in total.
Search public X (Twitter) posts by keyword with the official Gecho Bridge MCP tool and return post text, authors, engagement data, and links. Use for keyword-level X research and monitoring.
Search TikTok videos by keyword with Gecho Bridge MCP and return video metadata, creators, engagement metrics, and links. Requires the Gecho Chrome extension, an active TikTok session, and the Gecho Bridge MCP server.
Run async TikTok product, trend, competitor, and content insight jobs with Gecho Bridge MCP, and check job status. Requires the Gecho Chrome extension, an active TikTok session, and the Gecho Bridge MCP server.
通过 Gecho Bridge MCP 采集 TikTok 创作者的公开视频,返回视频元数据、文案、互动指标、发布时间和链接。需要安装 Gecho Chrome 扩展、保持有效的 TikTok 登录会话,并配置 Gecho Bridge MCP 服务。
通过 Gecho Bridge MCP 发起异步 TikTok 商品、趋势、竞品与内容洞察任务,并查询任务状态。需要安装 Gecho Chrome 扩展、保持有效的 TikTok 登录会话,并配置 Gecho Bridge MCP 服务。
通过 Gecho Bridge MCP 搜索 TikTok 视频、采集创作者视频、获取指定视频详情与评论,并开展商品、趋势、竞品与内容洞察。需要安装 Gecho Chrome 扩展、保持有效的 TikTok 登录会话,并配置 Gecho Bridge MCP 服务。
通过 Gecho Bridge MCP 按关键词搜索 TikTok 视频,返回视频元数据、创作者、互动指标和链接。需要安装 Gecho Chrome 扩展、保持有效的 TikTok 登录会话,并配置 Gecho Bridge MCP 服务。
Retrieve complete Amazon product details with the official Gecho Bridge MCP tool, including title, price, variants, specifications, description, ratings, and links. Use when the user provides an Amazon product URL or ASIN.
通过官方 Gecho Bridge MCP 按关键词搜索 Amazon 商品,返回指定站点的商品列表、价格、评分和链接。用户需要 Amazon 商品发现或目录调研时使用。
通过官方 Gecho Bridge MCP 搜索 Amazon 商品、获取已知商品详情并采集商品评论。适用于市场发现、商品库调研、商品比较、评论分析和 ASIN 级研究。
Collect Amazon product reviews with the official Gecho Bridge MCP tool, including review text, ratings, dates, and reviewer metadata when available. Use when the user provides an Amazon product URL or ASIN and wants review research.
Search X (Twitter) posts and retrieve known post details and replies through the official Gecho Bridge MCP tools. Use for keyword monitoring, post research, author context, engagement signals, and reply analysis.
Retrieve complete TikTok Shop product details with the official Gecho Bridge MCP tool, including title, price, SKU, description, sales, ratings, and reviews. Use when the user provides a TikTok Shop product URL or product ID.
通过官方 Gecho Bridge MCP 获取完整的 Amazon 商品详情,包括标题、价格、变体、规格、描述、评分和链接。用户提供 Amazon 商品 URL 或 ASIN 时使用。
通过官方 Gecho Bridge MCP 采集 Amazon 商品评论,包括评论文本、评分、日期和可用的评论者信息。用户提供 Amazon 商品 URL 或 ASIN 并需要评论调研时使用。
Collect public videos from a TikTok creator with Gecho Bridge MCP. Returns video metadata, captions, engagement metrics, publish times, and links. Requires the Gecho Chrome extension, an active TikTok session, and the Gecho Bridge MCP server.
通过官方 Gecho Bridge MCP 按关键词搜索 TikTok Shop 商品,返回商品数据、价格、评分、销量信号和链接。用户需要 TikTok Shop 商品发现或竞品商品调研时使用。
Get TikTok video detail data and comments from a known TikTok video URL with the official Gecho Bridge MCP tool. Use when the user wants one video's metadata, comments, replies, or engagement context, not keyword video search.
通过官方 Gecho Bridge MCP 获取指定 TikTok 视频详情、评论和回复。用户提供 TikTok 视频详情页 URL,并希望查看单条视频数据或评论时使用;关键词找视频使用 tiktok-video-search。
通过官方 Gecho Bridge MCP 获取一条 X(Twitter)帖子及其回复。用户提供 X 帖子 URL,并需要正文、作者、互动数据或评论时使用。
通过官方 Gecho Bridge MCP 按关键词搜索公开的 X(Twitter)帖子,返回帖子文本、作者、互动数据和链接。用户需要 X 关键词级调研或监测时使用。
通过官方 Gecho Bridge MCP 获取完整的 TikTok Shop 商品详情,包括标题、价格、SKU、描述、销量、评分和评价。用户提供 TikTok Shop 商品 URL 或商品 ID 时使用。
Search TikTok Shop products and retrieve known product details through the official Gecho Bridge MCP tools. Use for product discovery, catalog research, competitor comparison, pricing, sales signals, and item-level detail.
通过官方 Gecho Bridge MCP 搜索 TikTok Shop 商品并获取已知商品详情。适用于商品发现、商品库调研、竞品比较、价格与销量信号分析,以及指定商品详情采集。
通过官方 Gecho Bridge MCP 搜索 X(Twitter)帖子,并获取已知帖子的详情和回复。适用于关键词监测、帖子研究、作者信息、互动信号和回复分析。
Collect one X (Twitter) post and its replies with the official Gecho Bridge MCP tool. Use when the user provides an X post URL and wants the post content, author data, engagement, or comments.
Search TikTok Shop products by keyword with the official Gecho Bridge MCP tool and return structured product data, prices, ratings, sales signals, and links. Use when the user wants TikTok Shop product discovery or competitor product research.
About Ottermind skills
Every published skill from gecho-ai. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.
Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.
A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.
- What is an Ottermind skill?
- A reusable instruction package written in Markdown. It gives an agent the context, steps, and constraints for one kind of task, so results stay consistent instead of depending on how well you phrased the prompt that day.
- How do I install and use a skill?
- Open any skill's detail page, read the full document, and install it into your workspace. From then on the agent can use it automatically when the task matches, or you can invoke it by name.
- Can I create my own skill?
- Yes. A skill is a Markdown file with frontmatter naming it and describing when it should be used. If you have a workflow you keep re-explaining to an agent, writing it down once as a skill is usually the shortest path to making it repeatable.
- Do skills cost extra?
- Browsing and installing skills from this library does not cost anything on its own. Running one consumes the same credits as any other agent task, depending on the model you choose and how much work the task involves.