skills.rest
simbajigege
simbajigegeCOMMUNITY
Explore all skills by this author →
Website𝕏@GraceEmily70519GitHub

query-loop-implementation

Orchestrate LLM query loops with tool execution and guarded exits.

132|25|Updated Mar 24, 2026
Search Tags:#react#validation#safety#budget#tool-calling#agent-runtime#query-loop
One-click install
npx skills add https://github.com/simbajigege/book2skills --skill query-loop-implementation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: query-loop-implementation
Source: https://github.com/simbajigege/book2skills/tree/main/skills/query-loop-implementation
Command: npx skills add https://github.com/simbajigege/book2skills --skill query-loop-implementation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides a production-ready LLM query loop that orchestrates model calls, tool executions, and structured tool results to deliver reliable final answers in AI applications.

Core Features & Use Cases

  • Defines a clean separation: ConversationManager, QueryLoop, and ToolRuntime to manage state, per-turn flow, and tool execution.
  • Supports ReAct-style reasoning cycles with tool calls, tool results, and iterative model prompting to reach final answers.
  • Enforces safety and operational guards: maxTurns, abort/timeout, permissions, and budget controls, with recoverable error handling.
  • Use cases include adding tool calling to AI apps, building agent runtimes, and implementing deterministic tool-driven workflows.

Quick Start

Install or import the Query Loop Implementation skill in your project and start using its runQueryLoop to manage model calls, tool execution, and tool_result feedback.

Frequently Asked Questions about query-loop-implementation

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

FAQPage Schema
How do I build a production-ready AI agent with a ReAct-style query loop?▼

A ReAct-style query loop orchestrates iterative model calls, tool execution, and result feedback to reach final answers. It cleanly separates conversation management, per-turn flow control, and a guarded tool runtime for production reliability.

How do I enforce safety and budget controls in an LLM tool-calling runtime?▼

You enforce safety by applying a tool-runtime contract with schema validation and permission checks. Operational guards like maxTurns limits, abort/timeout thresholds, and budget controls ensure deterministic execution and clear terminal reasons.

What is the best way to structure deterministic tool-driven workflows in React?▼

The best way to structure deterministic tool-driven workflows is to separate state management, per-turn flow control, and tool execution. This architecture enforces a tool-runtime contract with schema validation and permission checks for safe execution.

Can I add structured tool calling to my existing AI applications without major rewrites?▼

Yes, you can add structured tool calling by importing a runQueryLoop function into your project. This orchestrates model calls, tool execution, and tool_result feedback iteratively, enabling ReAct-style reasoning without a full system rewrite.

Why does my AI agent loop fail to terminate cleanly during tool execution?▼

AI agent loops fail to terminate cleanly without strict operational guards and a tool-runtime contract. Enforcing maxTurns limits, abort/timeout thresholds, and recoverable error handling provides clear, deterministic terminal reasons for safe exits.

Related Skills

Explore More Software Engineering Skills→
1molchuan1molchuan
1

oh-my-ccg-init

Verify MCP, Codex, and Gemini endpoints and initialize RPI state.

Community
Intermediate
clawperatorclawperator
2

com.test.agent-skill-result

Generate deterministic SkillResult payloads for agent testing fixtures.

Official
Intermediate
SignalPilot-LabsSignalPilot-Labs
475

signalpilot

Provide governed read-only database access workflows for dbt and SQL.

Official
Advanced
panaminipanamini

prompt-template-authoring

Author reusable Pi prompt templates with YAML frontmatter and slash-command workflows.

Community
Advanced