credential-activation

Configure and validate API keys and secrets in Firestore for skills.

2|1|Updated Jul 19, 2024
One-click install
npx skills add https://github.com/TeamDay-AI/agents --skill credential-activation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: credential-activation
Source: https://github.com/TeamDay-AI/agents/tree/main/skills/teamday/credential-activation
Command: npx skills add https://github.com/TeamDay-AI/agents --skill credential-activation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Credential activation and validation for skills requiring keys or secrets is streamlined and secure, ensuring environments are properly configured before execution.

Core Features & Use Cases

  • Identify which credentials a skill needs
  • Check if credentials are configured in the Space Secrets store
  • Guide users through setup and verification
  • Verify credentials work via basic test flows

Quick Start

Open your Space settings, navigate to Secrets, and add the required credentials.

Frequently Asked Questions about credential-activation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I securely configure API keys and secrets for my environment?

Securely configure API keys and secrets by adding them to your Space Secrets store, which validates credentials and enforces secure storage in Firestore before injecting environment variables during execution.

What is the process for verifying credentials work before running a workflow?

Verifying credentials works by running structured setup and basic test flows that check if required API keys or secrets are properly configured in the Space Secrets store and functioning correctly.

How do I activate credentials for OpenAI and Anthropic integrations?

Activate credentials for OpenAI and Anthropic integrations by navigating to your Space settings, accessing Secrets, and adding the required API keys to trigger secure environment-variable injection during execution.

Can I validate custom integration secrets in an existing space?

Yes, you can validate custom integration secrets in an existing space by checking the Space Secrets store and guiding through structured credential verification workflows to ensure proper configuration.

Why does my skill execution fail when environment variables are missing?

Skill execution fails when environment variables are missing because credentials have not been securely configured or verified in the Space Secrets store, preventing proper environment-variable injection during runtime.

Do I need to set up space credentials separately for each new skill?

You need to set up space credentials for each skill requiring API keys or secrets, identifying which credentials are needed and adding them to the Space Secrets store for secure Firestore storage and execution.