common — community common, setup-opencode, community, ide skills

v1.0.0
GitHub

About this Skill

Ideal for AI Agents requiring streamlined API key management and Vertex AI integration, such as those built with AutoGPT or LangChain. Shared utilities for Gemini-based skills including API key management, Vertex AI configuration, and client helpers. Use as dependency for skills requiring Gemini API access.

wollfoo wollfoo
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Updated: 3/12/2026

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 Locale and body language aligned
Review Score
7/11
Quality Score
48
Canonical Locale
en
Detected Body Locale
en

Ideal for AI Agents requiring streamlined API key management and Vertex AI integration, such as those built with AutoGPT or LangChain. Shared utilities for Gemini-based skills including API key management, Vertex AI configuration, and client helpers. Use as dependency for skills requiring Gemini API access.

Core Value

Empowers agents to seamlessly manage API keys from multiple sources and switch between AI Studio and Vertex AI, leveraging client helpers for automated client initialization with the Gemini API.

Ideal Agent Persona

Ideal for AI Agents requiring streamlined API key management and Vertex AI integration, such as those built with AutoGPT or LangChain.

↓ Capabilities Granted for common

Automating API key retrieval from environment variables or files
Switching between AI Studio and Vertex AI for flexible model deployment
Initializing clients with the Gemini API for streamlined development

! Prerequisites & Limits

  • Requires Python environment
  • Specific to Gemini API and Vertex AI
  • Needs access to API key sources

Why this page is reference-only

  • - 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.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

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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 common?

Ideal for AI Agents requiring streamlined API key management and Vertex AI integration, such as those built with AutoGPT or LangChain. Shared utilities for Gemini-based skills including API key management, Vertex AI configuration, and client helpers. Use as dependency for skills requiring Gemini API access.

How do I install common?

Run the command: npx killer-skills add wollfoo/setup-opencode. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for common?

Key use cases include: Automating API key retrieval from environment variables or files, Switching between AI Studio and Vertex AI for flexible model deployment, Initializing clients with the Gemini API for streamlined development.

Which IDEs are compatible with common?

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 common?

Requires Python environment. Specific to Gemini API and Vertex AI. Needs access to API key sources.

↓ 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 wollfoo/setup-opencode. 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 common 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

common

Install common, 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

Common Skill Utilities

Thư viện dùng chung cho các skills sử dụng Gemini API.

Capabilities

  • API Key Management (quản lý API key) – Tự động tìm GEMINI_API_KEY từ nhiều nguồn
  • Vertex AI Support (hỗ trợ Vertex AI) – Chuyển đổi giữa AI Studio và Vertex AI
  • Client Helpers (trợ giúp client) – Tự động khởi tạo client phù hợp

Usage

python
1import sys
2from pathlib import Path
3
4# Thêm common directory vào path
5common_dir = Path(__file__).parent.parent.parent / 'common'
6sys.path.insert(0, str(common_dir))
7
8from api_key_helper import get_api_key_or_exit, get_client, get_vertex_config
9
10# Lấy API key
11api_key = get_api_key_or_exit()
12
13# Hoặc lấy client tự động
14client_info = get_client()

API Key Lookup Order

  1. Process environment variable (GEMINI_API_KEY)
  2. Project root .env file
  3. .claude/.env file
  4. .claude/skills/.env file
  5. Skill directory .env file

Vertex AI Configuration

bash
1export GEMINI_USE_VERTEX=true
2export VERTEX_PROJECT_ID=your-gcp-project-id
3export VERTEX_LOCATION=us-central1

Files

  • api_key_helper.py – Main utility module
  • README.md – Detailed documentation

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