web-research — community web-research, dotfiles, community, ide skills

v1.0.0

Acerca de este Skill

Perfecto para Agentes de Recuperación de Información que necesitan una extracción de datos web eficiente utilizando WebSearch y WebFetch. Guidelines for using web search and documentation lookup tools (WebSearch, WebFetch, context7 MCP). Use when agents need to verify technical claims, check library APIs, or research current tool capabilities.

cooldaemon cooldaemon
[14]
[8]
Updated: 3/15/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
26
Canonical Locale
en
Detected Body Locale
en

Perfecto para Agentes de Recuperación de Información que necesitan una extracción de datos web eficiente utilizando WebSearch y WebFetch. Guidelines for using web search and documentation lookup tools (WebSearch, WebFetch, context7 MCP). Use when agents need to verify technical claims, check library APIs, or research current tool capabilities.

¿Por qué usar esta habilidad?

Habilita a los agentes a descubrir información sobre herramientas, frameworks y características de plataforma actuales, y a recuperar datos específicos de páginas de documentación oficial, GitHub README o documentos de especificación utilizando protocolos HTTP.

Mejor para

Perfecto para Agentes de Recuperación de Información que necesitan una extracción de datos web eficiente utilizando WebSearch y WebFetch.

Casos de uso accionables for web-research

Recuperar documentación oficial para la integración de bibliotecas
Descubrir las mejores prácticas y patrones de la comunidad para el uso de herramientas
Recuperar hilos de problemas de GitHub para fines de depuración

! Seguridad y limitaciones

  • Requiere conectividad a Internet para WebSearch y WebFetch
  • Dependiente de la estructura y el contenido de la página web para una recuperación de datos precisa

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is web-research?

Perfecto para Agentes de Recuperación de Información que necesitan una extracción de datos web eficiente utilizando WebSearch y WebFetch. Guidelines for using web search and documentation lookup tools (WebSearch, WebFetch, context7 MCP). Use when agents need to verify technical claims, check library APIs, or research current tool capabilities.

How do I install web-research?

Run the command: npx killer-skills add cooldaemon/dotfiles/web-research. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for web-research?

Key use cases include: Recuperar documentación oficial para la integración de bibliotecas, Descubrir las mejores prácticas y patrones de la comunidad para el uso de herramientas, Recuperar hilos de problemas de GitHub para fines de depuración.

Which IDEs are compatible with web-research?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for web-research?

Requiere conectividad a Internet para WebSearch y WebFetch. Dependiente de la estructura y el contenido de la página web para una recuperación de datos precisa.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add cooldaemon/dotfiles/web-research. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use web-research immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

web-research

Install web-research, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Web Research

Tool Selection

WebSearch

Use for broad questions where you need to discover information:

  • Current state of tools, frameworks, or platform features
  • Compatibility and support status
  • Best practices and community patterns
  • Feature announcements or changelogs

WebFetch

Use when you have a specific URL to retrieve:

  • Official documentation pages
  • GitHub READMEs or issue threads
  • Specification documents
  • Fallback when context7 has no results for a library

context7 (MCP)

Use for library-specific API verification:

  1. resolve-library-id -- Find the library ID first
  2. query-docs -- Query with a specific question about the library API

When to use context7:

  • Verifying library-specific APIs that may have changed
  • Checking correct usage patterns or configuration options
  • Confirming parameter names, return types, or method signatures

Do NOT use context7 for:

  • Well-established, stable APIs (basic JavaScript, SQL, HTTP)
  • Simple operations Claude confidently knows
  • Internal/project-specific code

Do not search for information Claude confidently knows:

  • Standard library APIs, basic language syntax
  • General software engineering concepts
  • Well-known design patterns
  • Information already available in the codebase

Graceful Degradation

If context7 MCP tools are unavailable (server not configured), fall back to WebFetch for official documentation URLs. Do not fail the workflow because of missing optional tools.

If WebSearch is unavailable, use WebFetch with known documentation URLs as a fallback.

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