Loopy

Loopy is a prompt library and coding agent skill that provides repeatable AI agent workflows with practical checks and explicit stopping conditions.

Loopy offers a library of practical AI agent prompts and workflows spanning engineering, research, editorial tasks, evaluation, and operations. Each workflow is structured with defined validation steps, verifiable checks, and explicit stopping conditions so autonomous tasks finish cleanly. Users can browse and copy prompts directly or install Loopy as a skill inside their coding agents to find, craft, execute, improve, and publish loops. Workflows in the library include tasks like documentation alignment, test coverage expansion, SEO audits, production error triage, architecture refactoring, and multi-model adversarial reviews.

Loopy at a glance

Best for: Software engineer, Founder
Runs on: Web
Pricing: Free
Released: June 2026
Category: AI agent tool
Website: signals.forwardfuture.ai

Key features

Installable skill for coding agents to find, craft, run, improve, and publish loops
Repeatable prompts equipped with explicit stopping conditions and verification checks
Pre-built workflows for documentation updates, pull requests, and changelogs
Performance optimization loops for page-load speeds and test-suite runtimes
Automated production log triage, error reproduction, and fix verification
Multi-agent review loops utilizing models like Claude and Codex
Integration support for tools such as the Jellypod MCP for audio generation

Use it for

Aligning stale documentation with current codebases and opening pull requests
Triaging production error logs to isolate root causes, fix issues, and verify changes
Refactoring code architecture in tested checkpoints with autoreviews
Auditing and fixing SEO and AI answer engine visibility gaps
Converting bug tickets and customer complaints into verified, review-ready pull requests

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Martin Loop — Enforces budgets, stop rules, and verifiers for coding agents.

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