Ralph Driven Development (Linear)

Description and Goals

This skill provides a Ralph Driven Development workflow that pulls Linear project issues via the Linear MCP and runs them sequentially with Codex. It automates task execution from a Linear project and advances issues automatically.

Goals

• Automate development workflow using Linear project issues
• Integrate with Linear MCP for issue management
• Run Codex agents sequentially against Linear issues
• Track progress and handle retries automatically
• Support customizable runner configuration

What This Skill Should Do

When automating task execution from a Linear project, this skill should:

1. Connect to Linear - Authenticate with Linear MCP and resolve project
2. Fetch issues - Pull issues from the specified Linear project
3. Execute sequentially - Run Codex against each issue in order
4. Track progress - Monitor completion and handle retries
5. Advance issues - Automatically move to the next issue after completion

Use this skill when automating task execution from a Linear project and when you need a runner that advances issues and asks for the next task automatically.

Information About the Skill

Prerequisites

• codex is on PATH.
• Linear MCP is authenticated: codex mcp login linear
• Provide a project via --project or AGENTS.MD.

Run

python scripts/ralph-linear.py --project "Project Name"

Flags

• --project Linear project name or ID. If omitted, reads Linear Project: under ## PROJECT in AGENTS.MD.
• --agents-path Path to AGENTS.MD. Default: AGENTS.MD.
• --codex-exe Codex executable name or path. Default: codex.
• --codex-args Space-separated Codex args string. Default: exec --dangerously-bypass-approvals-and-sandbox.
• --codex-timeout Seconds before killing a Codex run; 0 = unlimited. Default: 0.
• --max-tasks Max issues to process; 0 = unlimited. Default: 0.
• --max-attempts-per-task Retries per issue. Default: 5.
• --log-path Log file path (repo-relative or absolute). Default: docs/logs/linear.log.
• --dry-run Resolve project and exit without running Codex.

Examples

python scripts/ralph-linear.py --project "VisionOS Agents" --max-tasks 3

python scripts/ralph-linear.py \
  --project "VisionOS Agents" \
  --codex-args 'exec --full-auto -m gpt-5.2-codex'