loop-library
Find, compare, adapt, and design bounded AI-agent feedback loops with explicit checks, stop rules, guardrails, and handoffs.
AI & Automationai-agentsautomationevaluationloopsworkflows
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 (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,
- Design: Ask a few plain-language questions, then produce a new bounded
- Find, then design: Search first. Use the nearest published loop as a
cadence, owners, or checks without weakening its feedback cycle.
loop.
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 would you like the agent to get done?"
Find a published loop
- Start from [references/catalog.md](references/catalog.md), the reviewed
- R
offline catalog bundled with this skill.
Subscribers only
The full skill, its 3 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | Forward-Future/loop-library |
|---|---|
| License | MIT |
| Risk label | safe ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md, agents/openai.yaml, references/catalog.md |
| Added | 2026-06-19 |
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