Looper is an AI Engineering skill for Claude Code, published by ksimback in looper.
Looper scaffolds an agent loop with goal refinement, verification criteria, reviewer and judge roles, and stop guards. Use it when designing or resuming a /goal-style workflow or cross-model review loop.
Looper is cataloged under AI Engineering on DirSkills. Looper comes from a repository tagged agent-loops, agentic-workflows, ai-agents, claude-code and claude-code-skill.
Documentation
Use Looper as a loop design coach and scaffolder. During design, interview,
critique, validate, and write files. After emission, offer to run the loop in
the current session using RUN_IN_SESSION.md; keep run-loop.py as the
advanced external runner.
This is the opening of the README. Read the full README on GitHub.
Looper ranks #1710 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Looper against them. Open each page to compare what they document and how they install.
Looper is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1710 by stars among them.