aif-loop

Orchestrate iterative artifact refinement through PLAN, PRODUCE, PREPARE, EVALUATE, CRITIQUE, and REFINE phases.

Updated Mar 23, 2024
One-click install
npx skills add https://github.com/Ard2p/sk-bar-site --skill aif-loop-ard2p
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aif-loop
Source: https://github.com/Ard2p/sk-bar-site/tree/main/.cursor/skills/aif-loop
Command: npx skills add https://github.com/Ard2p/sk-bar-site --skill aif-loop-ard2p

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Reflex loops are manual and error-prone; this skill orchestrates automated iterative refinement of artifacts until quality gates pass or iteration limit is reached.

Core Features & Use Cases

  • Orchestrates multi-phase loop: PLAN, PRODUCE, PREPARE, EVALUATE, CRITIQUE, REFINE
  • Supports parallel execution for producing artifacts and preparing checks
  • Applies strict stop conditions and persistence of run state for resumable sessions
  • Use cases: refining OpenAPI specs, docs, or code artifacts through iterative cycles with automated checks

Quick Start

Use the aif-loop skill to start an iterative refinement cycle and watch the artifact improve across phases until criteria are met.

Frequently Asked Questions about aif-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate iterative refinement for code artifacts?

Automate iterative refinement by orchestrating a multi-phase loop of PLAN, PRODUCE, EVALUATE, CRITIQUE, and REFINE to improve code artifacts until quality gates pass or iteration limits are reached.

What is an automated reflex loop for artifact evaluation?

An automated reflex loop is a process that iteratively improves an artifact against defined quality gates by cycling through production, evaluation, and critique phases with persistent state for resumable runs.

How do I define success criteria for automated artifact evaluation?

Define success criteria by providing task prompts, and the system auto-generates evaluation rules, thresholds, and iteration limits while ensuring safety and traceability throughout the evaluation cycles.

Can I resume an interrupted iterative refinement session?

Yes, you can resume iterative refinement sessions because the loop applies strict stop conditions and persistent state management, ensuring resumable runs across iterations without losing progress.

What is the best way to iteratively refine OpenAPI specs?

Iteratively refine OpenAPI specs by running an end-to-end reflex loop that coordinates production and automated checks, applying strict quality gates until the artifact meets all defined criteria.

Does parallel execution work during artifact preparation and evaluation?

Yes, parallel execution is supported for producing artifacts and preparing checks, allowing concurrent processing during the PRODUCE and PREPARE phases of the iterative refinement cycle.