MCPInstall

product-competitor-intelligence

Research competitor products, SKUs, pricing, packaging, positioning, feature comparisons, product catalogs, category pages, retailer listings, marketplace data, and market intelligence. Use when the user asks for competitor SKU discovery, product data enrichment, pricing/spec extraction, product comparison, market intelligence, or crawl/map-driven product research.

Installs
39
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/tavily-ai/use-case-skills --skill product-competitor-intelligence
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads product-competitor-intelligence automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Product Competitor Intelligence

Workflow

Use search and extract for product, pricing, SKU, feature, and competitor intelligence; use map or crawl for known catalogs and large competitor sites. Keep this skill focused on query construction, site navigation, source filtering, and synthesis; execution mechanics should come from companion endpoint skills.

Treat the guidance below as base guidance; adapt it to the user's request when appropriate.

  • Clarify the category, competitors, geography, target customer, price band, feature set, and desired output format.
  • Split broad questions into short subqueries under 400 characters: competitors, product category, pricing, alternatives, reviews, SKUs, specs, marketplaces, and recent launches.
  • Search for relevant competitors, product pages, category pages, retailer listings, pricing pages, reviews, docs, and official sources.
  • Filter by relevance score, domain trust, page type, and freshness before extracting.
  • Extract only selected pages that can support the requested comparison, table, or brief.
  • Use site mapping before broad collection on known competitor, retailer, manufacturer, marketplace, docs, or catalog domains.
  • Collect multiple pages only after choosing relevant path patterns and a tight scope.

Research Budget

  • Start with a small focused search set covering competitors, category, pricing, features/specs, reviews, or launches.
  • Extract only the strongest product, pricing, catalog, marketplace, docs, or review pages before drafting.
  • Add more searches only for named gaps, such as missing pricing, missing SKU evidence, or missing official competitor pages.
  • Do not use map unless a known competitor, retailer, manufacturer, marketplace, docs, or catalog domain needs URL discovery.
  • Do not use crawl until map has identified a narrow product, pricing, category, docs, or catalog section.

Capability Guidance

  • Use search for competitor discovery, pricing checks, feature comparisons, product claims, reviews, and launch signals.
  • Use extract on selected product, pricing, docs, catalog, marketplace, review, or changelog pages.
  • Use map when the domain is known but the relevant product, pricing, changelog, docs, category, or catalog pages are hard to find.
  • Use crawl for SKU/catalog discovery only after narrowing to relevant sections.
  • Use research only when the user asks for a market report rather than product-level evidence.

Query And Source Guidance

  • Include product category, buyer segment, geography, price band, SKU/model terms, competitor names, and feature terms in separate subqueries.
  • Prioritize official product pages, pricing pages, docs, catalogs, retailer listings, marketplaces, review sites, customer stories, changelogs, and credible launch coverage.
  • For known sites, look for paths such as products, pricing, category, collections, docs, blog, changelog, customers, or case studies.
  • Avoid irrelevant paths such as login, cart, checkout, account, admin, tag archives, and unrelated content.
  • Dedupe near-identical product pages, regional variants, and syndicated listings before synthesis.
  • Report failed or inaccessible sources when they affect pricing, specs, availability, or competitor coverage.

Output Template

Use this markdown structure and adapt columns to the user's request:

# Product And Competitor Intelligence: <category/company>

## Scope
- Category:
- Geography:
- Competitors covered:
- Source coverage limits:

## Product Comparison
| Product/SKU | Company | Category | Pricing/availability | Key features/specs | Positioning | Source |
| --- | --- | --- | --- | --- | --- | --- |

## Competitor Notes
### <Competitor>
- Positioning:
- Product/pricing evidence:
- Strengths:
- Gaps or uncertainty:

## Market Signals
- Launches or changes:
- Review/customer signals:
- Distribution or channel signals:

## Follow-Up Searches
- <query idea>

Keep each claim tied to a source. Mark pricing, availability, or specs as unavailable when they are not visible.

FAQ

What does the product-competitor-intelligence skill do?

Research competitor products, SKUs, pricing, packaging, positioning, feature comparisons, product catalogs, category pages, retailer listings, marketplace data, and market intelligence. Use when the user asks for competitor SKU discovery, product data enrichment, pricing/spec extraction, product comparison, market intelligence, or crawl/map-driven product research.

How do I install product-competitor-intelligence?

Run npx skills add https://github.com/tavily-ai/use-case-skills --skill product-competitor-intelligence in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/product-competitor-intelligence/ (personal) or .claude/skills/product-competitor-intelligence/ (project).

Which AI agents can use product-competitor-intelligence?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is product-competitor-intelligence safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains product-competitor-intelligence?

It is published by tavily-ai in tavily-ai/use-case-skills. It has 39 recorded installs.

Popular productivity & automation skills

View category →

agent-browser

vercel-labs/agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

OfficialProductivity & Automation1.3M installs

lark-doc

open.feishu.cn

飞书云文档(Docx / Wiki)内容操作:读取、创建、编辑文档,插入或下载图片附件,以及操作思维笔记。用户提供文档 URL/token(包括 doubao.com 的 /docx/、/wiki/)时使用;按 URL 路径/token 而非域名路由;/page/ 是妙搭应用,非飞书云文档。文档内嵌资源按读取参考中的统一规则分流。独立评论操作走 lark-drive;随正文读取评论使用 docs +fetch。表格或 Base 内部数据操作不在本 skill。

lark-base

open.feishu.cn

飞书多维表格(Base)操作:建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、应用模式(BaseApp/AppMode 页面与组件)、Workspace 目录、workflow、角色权限、模板中心(多维表格模板分类/列表/搜索);遇到 Base/多维表格/bitable、BaseApp/AppMode、/base/ 或 /app/ 链接时使用。BaseApp 不走 lark-apps;文件导入/导出转 lark-drive,认证/授权转 lark-shared。

lark-drive

open.feishu.cn

飞书云空间(云盘/云存储):管理 Drive 文件和文件夹,包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、查询权限设置、评论/权限/订阅、标题、版本、飞书文档密级标签(secure labels)和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题,或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用;doubao.com 云空间 URL/token 也按资源路径和 token 路由,不回退 WebFetch。不负责:文档内容编辑(走 lark-doc)、表格/Base 表内数据操作(走 lark-sheets/lark-base)、知识空间节点/成员管理(走 lark-wiki)、原生 Markdown 文件读写/patch/diff(走 lark-markdown)。

lark-shared

open.feishu.cn

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling notice JSON.

lark-im

open.feishu.cn

飞书即时通讯:收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片(Interactive Card)、监听卡片按钮回调(card.action.trigger)。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶(添加/移除/查询置顶会话)、管理标签数据、处理卡片回调时使用。