Best fit
- 通过 Context7 MCP 使用最新的库和框架文档,而非训练数据。当用户提出设置问题、API参考、代码示例或命名框架(例如 React、Next.js、Prisma)时激活。
affaan-m/ECC
通过 Context7 MCP 使用最新的库和框架文档,而非训练数据。当用户提出设置问题、API参考、代码示例或命名框架(例如 React、Next.js、Prisma)时激活。
npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/documentation-lookup"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
According to the pinned SKILL.md from affaan-m/ECC: 当用户询问库、框架或 API 时,通过 Context7 MCP(工具 resolve-library-id 和 query-docs)获取最新文档,而非依赖训练数据。
npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/documentation-lookup"Best fit
Bring this context
Expected outputs
Key source sections
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
Context7: 提供实时文档的 MCP 服务器;用于库和 API 的查询,替代训练数据。 resolve-library-id: 根据库名和查询返回 Context7 兼容的库 ID(例如 /vercel/next.js)。 query-docs: 根据给定的库 ID 和问题获取文档和代码片段。务必先调用 resolve-library-id 以获取有效的库 ID。
询问设置或配置问题(例如“如何配置 Next.js 中间件?”) 请求依赖于某个库的代码(“编写一个 Prisma 查询用于...”) 需要 API 或参考信息(“Supabase 的认证方法有哪些?”) 提及特定的框架或库(React、Vue、Svelte、Express、Tailwind、Prisma、Supabase 等)
调用 resolve-library-id MCP 工具,参数包括:
调用 resolve-library-id MCP 工具,参数包括:
名称匹配: 优先选择与用户询问内容完全匹配或最接近的。 基准分数: 分数越高表示文档质量越好(最高为 100)。 来源信誉: 如果可用,优先选择信誉度为 High 或 Medium 的。 版本: 如果用户指定了版本(例如“React 19”、“Next.js 15”),优先选择列出的特定版本库 ID(例如 /org/project/v1.2.0)。
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Task-start prompt
Confirm source fit, inputs, and outputs before acting.
Use documentation-lookup to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.
Source-guided execution
Make the Agent explicitly follow the key extracted sections.
Apply the pinned documentation-lookup source to [task]. Pay particular attention to these source sections: “核心概念”, “使用时机”, “工作原理”, “步骤 1:解析库 ID”, “步骤 2:选择最佳匹配”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].
Result-review prompt
Check omissions, permissions, and source drift before delivery.
Review the current documentation-lookup result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.
Output checklist
The task matches the purpose documented in the SKILL.md.
The source section “核心概念” has been checked.
The source section “使用时机” has been checked.
The source section “工作原理” has been checked.
The source section “步骤 1:解析库 ID” has been checked.
Inputs, constraints, and acceptance criteria are explicit.
Unverified facts, compatibility, and outcome claims are clearly marked.
Any file, command, network, or data action has been reviewed.
Choose a different workflow
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detail訓練データの代わりにContext7 MCP経由で最新のライブラリとフレームワークドキュメント使用。セットアップの質問、APIリファレンス、コード例、またはユーザーがフレームワーク(例:React、Next.js、Prisma)に名前を付けるときにアクティベーション。
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailUse for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web
A separate implementation from vercel-labs/agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
当用户询问库、框架或 API 时,通过 Context7 MCP(工具 resolve-library-id 和 query-docs)获取最新文档,而非依赖训练数据。
The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/documentation-lookup". Inspect the command and pinned source before running it.
No dedicated Agent platform is declared in the pinned source record.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
訓練データの代わりにContext7 MCP経由で最新のライブラリとフレームワークドキュメント使用。セットアップの質問、APIリファレンス、コード例、またはユーザーがフレームワーク(例:React、Next.js、Prisma)に名前を付けるときにアクティベーション。
Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
当用户询问库、框架或 API 时,通过 Context7 MCP(工具 resolve-library-id 和 query-docs)获取最新文档,而非依赖训练数据。
/vercel/next.js)。当用户出现以下情况时激活:
当请求依赖于库、框架或 API 的准确、最新行为时,请使用此技能。适用于配置了 Context7 MCP 的所有环境(例如 Claude Code、Cursor、Codex)。
调用 resolve-library-id MCP 工具,参数包括:
Next.js、Prisma、Supabase)。在查询文档之前,必须获取 Context7 兼容的库 ID(格式为 /org/project 或 /org/project/version)。如果没有从此步骤获得有效的库 ID,请勿调用 query-docs。
从解析结果中,根据以下原则选择一个结果:
/org/project/v1.2.0)。调用 query-docs MCP 工具,参数包括:
/vercel/next.js)。限制:每个问题调用 query-docs(或 resolve-library-id)的次数不要超过 3 次。如果 3 次调用后答案仍不明确,请说明不确定性并使用您掌握的最佳信息,而不是猜测。
libraryName: "Next.js"、query: "How do I set up Next.js middleware?" 调用 resolve-library-id。/vercel/next.js)。libraryId: "/vercel/next.js"、query: "How do I set up Next.js middleware?" 调用 query-docs。middleware.ts 示例。libraryName: "Prisma"、query: "How do I query with relations?" 调用 resolve-library-id。/prisma/prisma)。libraryId 和查询调用 query-docs。include 或 select)并附上文档中的简短代码片段。libraryName: "Supabase"、query: "What are the auth methods?" 调用 resolve-library-id。