claudecodex

llmctl-workflow

Consistent code delivery from AI agents. Test-driven development, git worktrees, merge-conflict resolution, receiving code review and lint pipelines, plus a code-reviewer agent.

0 on GitHubby siegenthalerrogerv2026.10.1MIT AND CC-BY-SA-4.0updated 14 days agoDevelopment
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Plugin llmctl-workflow from marketplace llmctl-marketplace in siegenthalerroger/.llmctl-marketplace. Commands read from the repo's manifest — 12 days ago.

What it installs

Skills (5)

  • lint-fix

    Detect project linting and validation tools, build an execution pipeline, run all tools to zero errors, and fix issues using an atomic fix protocol. Auto-detects Makefile targets, package.json scripts, Go tools, Python tools, and other common linters. Use when fixing linting errors, running validati

  • receiving-code-review

    Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation

  • resolving-merge-conflicts

    Use when you need to resolve an in-progress git merge/rebase conflict.

  • tdd

    Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.

  • using-git-worktrees

    Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback

Subagents (1)

  • Code Reviewer

    Read-only code review agent for completed implementation work. ALWAYS invoke after a feature slice or milestone to compare the diff against the plan and report bugs, regressions, and actionable findings with severity and file references. Do not use to write or fix code — it has no edit tools; for im

View source on GitHub

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