Create and configure specialized AI agents with YAML frontmatter in OpenCode environments.
npx skills add https://github.com/Aveer/OpenZeus --skill zeus-agents
Please help me install this Agent Skill. Skill: zeus-agents Source: https://github.com/Aveer/OpenZeus/tree/main/skills/zeus-agents Command: npx skills add https://github.com/Aveer/OpenZeus --skill zeus-agents
This skill solves the challenge of creating, configuring, and maintaining specialized AI agents within an OpenCode workspace, ensuring consistent behavior and permission management.
Use the zeus-agents skill to generate a new subagent configuration file for a security auditor in the current project directory.
High-intent search queries and answers about installing and using this skill.
To create custom OpenCode agents, you define the agent identity, system prompts, and operational modes using structured YAML frontmatter. This standardizes agent creation and ensures consistent behavior across persistent assistant workflows within your workspace.
Yes, you can restrict bash command permissions for AI agents in an OpenCode environment. The configuration process enables granular permission control, allowing precise definition of tool access, bash command restrictions, and file system permissions for security.
The best way to configure a read-only code reviewer agent is to use predefined security patterns that limit tool access. You can deploy a specialized agent with read-only access restricted to git logs and diffs through granular permission settings.
Agent operational modes and YAML frontmatter standardize persistent assistant workflows by providing a structured template for defining agent behavior. This ensures consistent configuration and maintenance of specialized AI agents across different workspace environments.
You need predefined security patterns to manage file system permissions for OpenCode agents safely. These patterns ensure consistent agent behavior by enforcing granular permission control, preventing unauthorized write access to project directories.
Specialized AI agents behave inconsistently across OpenCode workspace tasks without standardized configuration. Applying structured YAML frontmatter and predefined operational modes ensures consistent agent behavior and reliable permission management for persistent workflows.
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