skills/x-school-academy/ai-dev-swarm/dev-swarm-headless-ai-agents

dev-swarm-headless-ai-agents

SKILL.md

AI Builder - Headless AI Agents

This skill provides instructions for running popular AI code agents in headless (non-interactive) mode, enabling automation, scripting, and programmatic execution without user interaction.

When to Use This Skill

  • Running AI code agents in automated pipelines or scripts
  • Integrating AI agents into CI/CD workflows
  • Executing batch tasks with AI agents programmatically
  • Building web services or APIs that invoke AI agents
  • Running AI agents without terminal interaction

Your Roles in This Skill

  • DevOps Engineer: Configure and execute headless agent commands, set up automation pipelines, and handle environment configuration.
  • Backend Developer: Integrate headless agents into applications, scripts, or services.

Role Communication

As an expert in your assigned roles, you must announce your actions before performing them using the following format:

As a {Role} [and {Role}, ...], I will {action description}

This communication pattern ensures transparency and allows for human-in-the-loop oversight at key decision points.

Instructions

Follow these steps to run an AI code agent in headless mode:

Step 1: Identify the AI Code Agent

Determine which AI code agent to run in headless mode. Route to the appropriate reference file:

  • If using Claude Code, refer to references/claude-code.md
  • If using Codex, refer to references/codex.md
  • If using Gemini CLI, refer to references/gemini-cli.md
  • If using other AI code agents, run <agent-name> --help to discover available flags for non-interactive/headless mode. Look for flags like --print, --non-interactive, --batch, --yes, --auto-approve, or similar

Step 2: Verify Installation

As a DevOps Engineer, verify the agent is installed:

# Claude Code
claude --version

# Codex
codex --version

# Gemini CLI
gemini --version

If not installed, use the dev-swarm-install-ai-code-agent skill.

Step 3: Choose Execution Mode

Each agent supports different headless modes:

Agent Mode Use Case
Claude Code --print Print output and exit (piping)
Codex exec Non-interactive execution
Gemini CLI Positional prompt One-shot execution

Step 4: Configure Permissions

Important: Headless mode typically requires bypassing permission prompts.

Agent Permission Flag Security Note
Claude Code --dangerously-skip-permissions Bypasses all prompts
Codex --ask-for-approval never Auto-approve all actions
Gemini CLI --yolo Auto-accept all actions

Security Warning: Only use these flags in trusted, sandboxed environments.

Step 5: Execute the Agent

Refer to the agent-specific reference file for detailed command syntax and examples.

Quick Reference (Minimal Commands):

# Claude Code (headless)
claude --print --dangerously-skip-permissions "your prompt here"

# Codex (headless)
codex --ask-for-approval never --sandbox workspace-write exec "your prompt here"

# Gemini CLI (headless)
gemini --yolo --sandbox "your prompt here"

Step 6: Handle Output

Configure output format based on your needs:

  • Text output: Default for all agents
  • JSON output: Available for structured processing
  • Streaming output: For real-time processing

See agent-specific reference files for output format options.

Key Principles

  • Security first: Only use permission-bypass flags in sandboxed/trusted environments
  • Sandbox when possible: Use sandbox modes to limit agent capabilities
  • Structured output: Use JSON output for programmatic processing
  • Timeout handling: Set appropriate timeouts for long-running tasks
  • Error handling: Check exit codes and stderr for failures

Common Issues

Issue: Agent hangs waiting for input

  • Solution: Ensure all permission-bypass flags are set correctly

Issue: Command not found

  • Solution: Verify agent is installed and in PATH

Issue: Permission denied errors

  • Solution: Check working directory permissions and sandbox settings

Issue: Output parsing fails

  • Solution: Use JSON output format (--output-format json) for reliable parsing
Weekly Installs
2
GitHub Stars
7
First Seen
Feb 11, 2026
Installed on
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