Agent skill · Design & Presentation

loop-library

Find, compare, adapt, and design bounded AI-agent feedback loops with explicit checks, stop rules, guardrails, and handoffs.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill loop-library --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 9 KB
Bundled scripts: none
Declared author: Forward Future
Path: skills/loop-library/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Loop Library Help the user reuse a published Loop Library loop when one fits. Otherwise, adapt the closest loop or design a new one through a focused interview. Treat a loop as a feedback system with terminal states, not as permission for endless autonomy. ## When to Use Use when the user asks for a loop, recurring agent workflow, automation cadence, iterative improvement process, existing Loop Library recommendation, or help turning an outcome into a bounded copy-ready loop through a short question-led design session. _Source: [Forward-Future/loop-library](https://github.com/Forward-Future/loop-library) (MIT)._ ## Route the request Choose the smallest useful path: - **Find:** Recommend one to three published loops for a stated problem. - **Adapt:** Start from a published loop and replace its thresholds, tools, cadence, owners, or checks without weakening its feedback cycle. - **Design:** Ask a few plain-language questions, then produce a new bounded loop. - **Find, then design:** Search first. Use the nearest published loop as a scaffold and ask only about the missing decisions. Do not ask for information the user already supplied. If the request is vague, begin with: "What woul

What's inside
Steps it walks through
  1. When to Use
  2. Route the request
  3. Find a published loop
  4. Keep adaptations grounded
  5. Run the design interview
  6. Design the feedback cycle
  7. Limitations
  8. Deliver the loop
Ships with 2 files
  • agents/openai.yaml
  • references/catalog.md
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About this skill
What does the loop-library skill do?

Find, compare, adapt, and design bounded AI-agent feedback loops with explicit checks, stop rules, guardrails, and handoffs.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill loop-library --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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