donnfelker/loop-skills · Archived

multi-llm-convergence

First seen Jun 16, 2026

Installation

$ npx skills add https://github.com/donnfelker/loop-skills

Summary

  • Drive any artifact to convergence by alternating two genuinely different LLM reviewers — a Codex reviewer and an independent Claude review subagent — applying each round's findings and looping until BOTH independently agree it clears the bar (default: no critical/high findings).
  • Artifact-agnostic: works on a plan, PRD, design doc, spec, or implementation diff.
  • Use whenever the user says 'have two LLMs converge on this', 'loop Claude and Codex until they agree', 'review and revise until consensus', 'iterate this plan/PRD/spec until there are no blockers', or wants cross-model agreement rather than one reviewer's opinion.
  • Prefer this over a single review pass whenever the user wants different models to actually agree on an end result.
  • NOT pr-autopilot (one GitHub PR's comment threads) — this is the artifact-agnostic, alternating-different-models, iterate-to-consensus loop.

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

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Also in this package

Other skills from donnfelker/loop-skills.

npx skills add https://github.com/donnfelker/loop-skills

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 16
License LICENSE
Default branch main
Open issues 0
Status Archived

History

  1. First seen on skills.sh
  2. First recorded snapshot · 12 installs