ZBS Index What actually exists in applied AI, with the source next to it

skill

loopy

Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop for weak checks or unsafe authority, execute a loop with an evidence receipt, learn from completed runs, save or reuse a project loop, or validate and submit a loop to Loop Library.

Description as published by the maintainer. Source

  • active

active — Most recent push to the repository was 2026-07-26.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 2,975 Stars on the repository that contains this skill, not on the skill itself. A collection of fifty skills shares one number, so it says nothing about this particular skill. cumulative, all time GitHub
Last commit 2026-07-26 Most recent push to the containing repository. It may reflect work on a different skill in the same collection. point in time GitHub
repository status active The repository holding this skill exists and is not archived. as of fetch GitHub

Will this work with your setup?

No harness stated by the author and no install path convention detected. Compatibility is untested.

We have not run this skill against a task with and without it enabled, so we cannot tell you whether it improves anything, what it costs in tokens, or whether it duplicates behaviour your harness already has. When we have run that test, the result will appear on this page with the task, the versions and the budget it used.

The skill definition lives at skills/loopy/SKILL.md in https://github.com/Forward-Future/loopy.

Where to get it

Related, by what their authors tagged them

  • forward-future-loopy-loop-library — last commit 2026-07-26, shares agentic-workflows, automation, prompt-engineering
    Compatibility alias for Loopy. Use only when an existing installation or older instruction explicitly invokes loop-libr…
  • Codex Control Plane MCP — last commit 2026-07-15, shares agentic-workflows, automation
    Durable MCP control plane for long-running Codex Desktop tasks.
  • ahadkhan9-workspace-mirror-skill-workspace-mirror — last commit 2026-07-08, shares agentic-workflows
    Sync and backup Antigravity IDE sessions, transcripts, SQLite database metadata, and brain artifacts locally into a str…
  • favcrm-mcp-favcrm-agentic-registration — last commit 2026-06-26, shares agentic-workflows
    Use when a new user wants to register for FavCRM from inside an MCP client, create a FavCRM workspace, request or verif…
  • favcrm-mcp-favcrm-billing-commerce — last commit 2026-06-26, shares agentic-workflows
    Use for invoices, payments, products, orders, promotions, subscriptions, overdue follow-up, and commerce operations in…
  • favcrm-mcp-favcrm-booking-operator — last commit 2026-06-26, shares agentic-workflows
    Use for service setup, availability, booking lifecycle, cancellations, no-shows, reminders, and daily booking operation…
  • favcrm-mcp-favcrm-business-reporting — last commit 2026-06-26, shares agentic-workflows
    Use for FavCRM dashboards, weekly snapshots, KPI summaries, revenue, bookings, invoices, subscriptions, customer growth…
  • favcrm-mcp-favcrm-channel-setup — last commit 2026-06-26, shares agentic-workflows
    Use when checking or connecting FavCRM communication channels, especially WhatsApp Business Embedded Signup from an MCP…
  • favcrm-mcp-favcrm-comms-approval — last commit 2026-06-26, shares agentic-workflows
    Use for FavCRM marketing campaigns, customer reactivation, broadcasts, WhatsApp, SMS, email, inbox replies, and approva…
  • favcrm-mcp-favcrm-content-publisher — last commit 2026-06-26, shares agentic-workflows
    Use for FavCRM blog posts, CMS content blocks, landing-page content, AI-generated images, post publishing, post updates…

These share tags the maintainers applied themselves, such as agentic-workflows, automation, prompt-engineering. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: agent-skills, agentic-workflows, ai-agents, automation, codex, prompt-engineering.

Bring your own setup

We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.

Join ZBS AI Practice Lab

Sources

  1. Forward-Future/loopy on GitHub — GitHub, observed , trust tier 3.