Best fit
- Asks setup or configuration questions (e.g. "How do I configure Next.js middleware?")
- Requests code that depends on a library ("Write a Prisma query for...")
- Needs API or reference information ("What are the Supabase auth methods?")
affaan-m/ECC
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).
npx skills add https://github.com/affaan-m/ECC --skill "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: When the user asks about libraries, frameworks, or APIs, fetch current documentation via the Context7 MCP (tools resolve-library-id and query-docs) instead of relying on training data.
npx skills add https://github.com/affaan-m/ECC --skill "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.
Call the resolve-library-id MCP tool with:
From the resolution results, choose one result using:
Call the query-docs MCP tool with:
Answer the user's question using the fetched, current information.
Context7: MCP server that exposes live documentation; use it instead of training data for libraries and APIs.
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: “Step 1: Resolve the Library ID”, “Step 2: Select the Best Match”, “Step 3: Fetch the Documentation”, “Step 4: Use the Documentation”, “Core Concepts”. 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 “Step 1: Resolve the Library ID” has been checked.
The source section “Step 2: Select the Best Match” has been checked.
The source section “Step 3: Fetch the Documentation” has been checked.
The source section “Step 4: Use the Documentation” 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
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 detail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。
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
When the user asks about libraries, frameworks, or APIs, fetch current documentation via the Context7 MCP (tools resolve-library-id and query-docs) instead of relying on training data.
The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "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.
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。
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。
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.
When the user asks about libraries, frameworks, or APIs, fetch current documentation via the Context7 MCP (tools resolve-library-id and query-docs) instead of relying on training data.
/vercel/next.js) from a library name and query.Activate when the user:
Use this skill whenever the request depends on accurate, up-to-date behavior of a library, framework, or API. Applies across harnesses that have the Context7 MCP configured (e.g. Claude Code, Cursor, Codex).
Call the resolve-library-id MCP tool with:
Next.js, Prisma, Supabase).You must obtain a Context7-compatible library ID (format /org/project or /org/project/version) before querying docs. Do not call query-docs without a valid library ID from this step.
From the resolution results, choose one result using:
/org/project/v1.2.0).Call the query-docs MCP tool with:
/vercel/next.js).Limit: do not call query-docs (or resolve-library-id) more than 3 times per question. If the answer is unclear after 3 calls, state the uncertainty and use the best information you have rather than guessing.
libraryName: "Next.js", query: "How do I set up Next.js middleware?"./vercel/next.js) by name and benchmark score.libraryId: "/vercel/next.js", query: "How do I set up Next.js middleware?".middleware.ts example from the docs if relevant.libraryName: "Prisma", query: "How do I query with relations?"./prisma/prisma).libraryId and the query.include or select) with a short code snippet from the docs.libraryName: "Supabase", query: "What are the auth methods?".