claude

ai-review-toolkit

Type-agnostic multi-agent review toolkit. Spawn N clean-context reviewers to evaluate any artifact against requirements. Iterative review-fix cycles with deterministic convergence.

0 on GitHubby Sparkry.aiv1.10.4MITupdated 1 month agodevelopment
/

Plugin ai-review-toolkit from marketplace sparkry-claude-skills in sparkst/sparkry-claude-skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (3)

  • qloop

    This skill should be used when the user asks to \"review and fix\", \"iterative review\", \"review loop\", \"qloop\", \"fix all issues\", or wants an artifact reviewed, all issues fixed at all priorities, and re-reviewed until convergence. Enforces: minimum 2 rounds, fix-ALL gate, clean-context re-r

  • qpipeline

    This skill should be used when the user asks to \"run the full pipeline\", \"qpipeline\", \"end-to-end review\", \"thorough review\", \"qpipeline auto\", an autonomous build, or wants a composable multi-phase workflow. Presets: review (quick), thorough (full QRALPH-equivalent), content, code. `auto`

  • qreview

    This skill should be used when the user asks to \"review an artifact\", \"get multiple perspectives on\", \"multi-agent review\", \"qreview\", or wants N independent reviewers to evaluate any output (code, content, strategy, design) against requirements. Spawns 2-5 clean-context agents in parallel w

Subagents (3)

  • fixer

    Issue resolution agent. Receives findings from a review round and fixes ALL of them in the artifact. Produces modified artifact plus resolution checklist.

  • reviewer

    Clean-context artifact reviewer. Spawned by qreview/qloop to review an artifact against requirements from a specific lens. Produces P0-P3 findings with evidence.

  • verifier

    Fresh-context acceptance verifier. Spawned to verify an artifact meets its acceptance criteria with evidence-based PASS/FAIL per criterion.

View source on GitHub

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