Grok Agent Skills for Linear and Git Workflows

X postDavid SolheimResource

David Solheim published an open-source repository of portable Grok agent skills designed for the Grok Build CLI. The skills map out a full product delivery pipeline from initial ideas and Linear ticket tracking to automated code reviews and pull requests.

Key points

  1. Solheim claims that the high execution speed of Grok 4.5 offsets any intelligence differences compared to other frontier models by enabling rapid iteration loops.
  2. The davidsolheim/skills repository offers sanitized, portable agent skills that avoid hard-coded client names, proprietary paths, or fixed monorepo setups.
  3. Intake and discovery tools include /start for repo scaffolding, /walk and /project-review for code and UI audits, as well as /issue and /issues for Linear ticket creation.
  4. Board triage and execution run through /tidy, /stat, /identify, and /solve, keeping implementation focused on a local dev branch.
  5. Shipping is handled either by /prb, which employs a grok-4.6 review panel and waits for green CI, or by /yeet for rapid merging with in-scope runtime verification.

Why it matters

The repository demonstrates a concrete pattern for integrating AI coding agents into standard engineering pipelines using Linear and Git, enforcing distinct stages for discovery, triage, isolated execution, and review.

Analysis

Rather than relying on single, open-ended agent prompts, Solheim modularises software development into well-defined commands. This approach balances rapid code generation with deliberate human checkpoints, using specialised review steps like Grok 4.6 panels to safeguard main branches.

Original post

David Solheim

@davidtsolheim · 31 July 2026

@ryancarson Grok Build CLI is fantastic. I just uploaded my most used skills to t.co/2ImxsHgWyE - take a look! Grok 4.5 is so fast that it makes any lack of intelligence from these other state-of-the-art models negligible because you can iterate so much quicker. @morganlinton has all

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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