Colecciones
Colección gemini

Herramientas dev y skills de workflow compatibles con Gemini | AI Agent Skills

Colección de AI Agent Skills instalables para workflows de desarrollo de gemini compatible dev en Claude Code, Cursor y Windsurf.

Esta colección enfocada en Gemini está diseñada para ejecución real de desarrollo: skills reutilizables, capas de integración y componentes de automatización para código, review y control de entrega. No es un ranking genérico; está orientada a equipos que lanzan software con agentes de IA. MCP puede ser útil en casos puntuales, pero el foco principal es la confiabilidad del workflow.

Primary Install Bridge

Pick One Skill, Then Take the Install Path

This collection should not trap users in comparison mode or pretend to install the whole collection. Its job is to narrow the shortlist to one skill, then send the next click into installation, validation, and rollout. Installation happens on the skill path.

Step 1 / Primary Path

Step 1: Open the installation docs

Move from Gemini workflow discovery into the install flow, validation checklist, and first command path before comparing anything else.

Open the Install Path
Best-Fit Next Paths

The Next Click Should Keep Narrowing, Not Reset Back To A Generic Directory

Once the install path is clear, move into the solution, CLI, or editorial surface that best matches this collection. That keeps platform, framework, and operations demand narrowing into a more verifiable high-intent journey.

Editorial Proof & Trust Signals

Why This Collection Deserves Priority Attention

Reviewed on 2026-04-17 against Gemini workflow fit, installation clarity, operator handoff, and day-to-day delivery usefulness. This page is now positioned as an install-first Gemini entry point instead of a generic compatibility list.

We prioritize this page because Gemini-intent users usually need a shortlist they can install, validate, and carry into real development loops quickly.

Trust Signals

  • - Entries are chosen for practical Gemini workflow value such as coding support, review loops, handoff, and repeatable execution.
  • - Selection favors tools with public documentation and clear setup paths that teams can validate before wider rollout.
  • - The page is curated for repeatable developer execution, not for vague compatibility keyword stuffing.

Grouping Logic

  • - Lead with tools that can enter a Gemini-centered workflow without adding heavy setup ambiguity.
  • - Keep the shortlist compact enough for quick comparison while still covering coding, review, handoff, and automation.
  • - Use installation as the bridge from Gemini discovery into validated daily execution.

Maintenance & Review

Last Reviewed
2026-04-17
Cadence
Re-check when install flow, maintainer posture, or Gemini workflow relevance changes upstream; otherwise review monthly.
Maintained By
Killer-Skills editorial review within the recovery-focused authority queue.
Verification
Validate installability, operator clarity, workflow fit, and maintainer trust before retaining or adding an entry.
Execution Examples

How These Skills Work Together In Practice

Install one Gemini workflow companion first

Use this page when you want one Gemini companion that can enter real development work without turning evaluation into another endless tooling loop.

  1. 1. Open the installation docs before opening more Gemini-related repositories.
  2. 2. Choose one tool that best supports coding, review, handoff, or automation.
  3. 3. Install it and verify the CLI write path, sync behavior, and first operator checkpoint.
  4. 4. Only after the base path works, expand the setup across the wider team workflow.

Reduce workflow drift around Gemini

Treat the collection as an editorial filter when you need Gemini-adjacent tools that improve output quality without overcomplicating the stack.

  1. 1. Check whether the tool has stable ownership and visible install guidance.
  2. 2. Review CLI behavior so operators know what will be written and synced.
  3. 3. Use one validated path before scaling it to more projects or more teammates.
  4. 4. Document the chosen Gemini workflow baseline after the first clean rollout.
After Installation

Supporting Moves After The Install Path Is Clear

backend-code-review

[ Destacado ]
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langgenius

The backend-code-review skill reviews Python code for quality, security, and maintainability, providing actionable fixes and suggestions. It benefits developers by improving their code and workflow.

134.5k
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Inteligencia Artificial

component-refactoring

[ Destacado ]
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langgenius

La refactorización de componentes es una técnica para simplificar y optimizar componentes de software complejos.

134.5k
0
Inteligencia Artificial

frontend-testing

[ Destacado ]
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langgenius

Esta habilidad de agente de inteligencia artificial permite a Claude generar pruebas de frontend de alta calidad para el proyecto Dify

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Inteligencia Artificial

orpc-contract-first

[ Destacado ]
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langgenius

Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed contracts, migrating legacy service calls to oRPC, or deciding whether to call queryOptions directly vs extracting a helper or use-* hook in web/service.

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Inteligencia Artificial

frontend-code-review

[ Destacado ]
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langgenius

This frontend-code-review skill reviews frontend files, such as .tsx, .ts, and .js, and applies a checklist to ensure code quality, performance, and business logic, helping developers and teams maintain high standards.

134.5k
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Inteligencia Artificial

frontend-query-mutation

[ Destacado ]
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langgenius

Un patrón de consulta y mutación frontend que utiliza TanStack Query y oRPC para crear contratos en web/contract

134.5k
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Inteligencia Artificial

zustand

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lobehub

Zustand state management guide. Use when working with store code (src/store/**), implementing actions, managing state, or creating slices. Triggers on Zustand store development, state management questions, or action implementation.

data-fetching

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lobehub

Data fetching architecture guide using Service layer + Zustand Store + SWR. Use when implementing data fetching, creating services, working with store hooks, or migrating from useEffect. Triggers on data loading, API calls, service creation, or store data fetching tasks.

testing

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lobehub

Testing guide using Vitest. Use when writing tests (.test.ts, .test.tsx), fixing failing tests, improving test coverage, or debugging test issues. Triggers on test creation, test debugging, mock setup, or test-related questions.

db-migrations

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lobehub

db-migrations es una habilidad para agentes AI que permite la gestión de bases de datos

hotkey

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lobehub

Guide for adding keyboard shortcuts. Use when implementing new hotkeys, registering shortcuts, or working with keyboard interactions. Triggers on hotkey implementation or keyboard shortcut tasks.

0
0
Desarrollador

linear

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lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

sync-readme

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lbb00

Sync README es una habilidad de agente de IA que sincroniza y traduce documentos de README.

update-docs

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lbb00

Update all project documentation after code changes.

widget-generator

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f

Generate customizable widget plugins for the prompts.chat feed system

149.6k
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Inteligencia Artificial

book-translation

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f

Translate The Interactive Book of Prompting chapters and UI strings to a new language

0
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Desarrollador
Related Authority Collections

If This Page Is Close, Keep Narrowing With Adjacent Authority Pages

Do not reset back to the generic directory. Move sideways through these adjacent high-intent collections to narrow the shortlist toward the install path that best matches your team.

Installation Questions

Answer These Three Questions Before You Install

This collection should not keep users browsing forever. These three questions explain how to shortlist, install, and validate the next step.

¿Para qué flujos de trabajo están diseñadas estas colecciones?

Estas colecciones están diseñadas para automatización de flujos, procesos, documentos, datos y pilas de habilidades reutilizables.

¿Cómo se diferencia una colección del directorio principal?

El directorio es mejor para búsqueda directa, mientras las colecciones ayudan a encontrar habilidades complementarias agrupadas por flujo completo.

¿Puedo instalar estas colecciones para Claude Code o Cursor?

Sí. Las habilidades de estas colecciones generalmente funcionan en Claude Code, Cursor, Windsurf y otros entornos mediante instalación unificada.

Additional Recovery Paths

Use These Additional Paths If You Need One More Step To Narrow The Decision

These are the supporting surfaces for this collection after the install direction is clear and the primary next paths have already narrowed the decision.