ralph-driven-development-linear_skill

This skill automates Linear project task execution by sequentially running Codex agents, advancing issues, and tracking retries for efficient workflow.
  • Python

40

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

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Installation

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npx veilstrat add skill tomkrikorian/visionosagents --skill ralph-driven-development-linear

  • SKILL.md2.7 KB

Overview

This skill automates a Ralph Driven Development workflow that pulls issues from a Linear project and runs them sequentially with Codex. It advances issues automatically, tracks progress, and supports configurable retries and timeouts. Use it to turn a Linear backlog into an automated runner that executes tasks end-to-end.

How this skill works

The runner authenticates with Linear MCP, resolves the target project, and fetches open issues in order. For each issue it launches a Codex process (configurable executable and args), monitors execution, records success or failure, and advances the issue on completion. The workflow supports retries, limits on tasks, and dry-run mode to validate configuration without executing Codex.

When to use it

  • Automating execution of Linear project issues with minimal manual intervention
  • Running sequential Codex agents against a scoped backlog
  • Continuously advancing issues after Codex completes tasks
  • Testing runner configuration with dry-run before full execution
  • Limiting runs with max-tasks or enforcing max attempts per issue

Best practices

  • Ensure codex is on the PATH and reachable from your environment
  • Authenticate Linear MCP beforehand using codex mcp login linear
  • Start with --dry-run to confirm project resolution and AGENTS.MD settings
  • Set sensible --codex-timeout and --max-attempts-per-task to avoid runaway runs
  • Log outputs to an explicit --log-path so you can audit progress and failures

Example use cases

  • Process a VisionOS feature backlog by running Codex against each Linear issue sequentially
  • Automate repetitive maintenance tasks tracked in a Linear project and advance completed items
  • Limit a pilot run with --max-tasks 3 to validate agent behavior before scaling
  • Run with alternative Codex args to test different agent models or safety modes
  • Use --dry-run in CI to verify project connectivity and AGENTS.MD parsing

FAQ

Codex must be installed and on PATH, and Linear MCP must be authenticated via codex mcp login linear. Provide the project via --project or configure it in AGENTS.MD.

How do I stop a long-running Codex task?

Set --codex-timeout to a nonzero number of seconds so the runner will kill Codex after that interval. Use 0 for unlimited.

Can I limit how many issues are processed in one run?

Yes. Use --max-tasks to cap issues processed in a single invocation; 0 means unlimited.

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ralph-driven-development-linear skill by tomkrikorian/visionosagents | VeilStrat