Automate observe-think-act reasoning loops with termination guardrails.
npx skills add https://github.com/Entelligentsia/skillforge --skill agent-loop
Please help me install this Agent Skill. Skill: agent-loop Source: https://github.com/Entelligentsia/skillforge/tree/main/llm-patterns/skills/agent-loop Command: npx skills add https://github.com/Entelligentsia/skillforge --skill agent-loop
The agent-loop pattern enables autonomous multi-step reasoning where the LLM must observe, think, act, and iterate until a goal is met. It is designed for tasks that cannot be solved with a single prompt and where the next action depends on outcomes of previous steps.
Provide a task that requires autonomous multi-step reasoning and let the agent loop through observe, think, and act until completion.
High-intent search queries and answers about installing and using this skill.
You can implement ReAct and Plan-and-Execute architectures by running autonomous observe-think-act cycles. The agent loops through these stages, optionally re-planning and managing context dynamically until the task reaches a defined termination condition.
The agent loop prevents runaway cycles and unsafe behavior by applying built-in termination guardrails. These constraints monitor the observe-think-act sequence, halting execution if the reasoning loops indefinitely or attempts unsafe actions.
Yes, autonomous multi-step reasoning supports complex tool orchestration and procedural automation in software systems. The loop dynamically manages state and tool use, iterating through actions based on real-time outcomes.
Both architectures use autonomous multi-step reasoning, but ReAct reacts to observations step-by-step, while Plan-and-Execute creates an initial plan before acting. The agent loop supports optional context management and re-planning to shift between these strategies.
Yes, you must define termination conditions for an autonomous multi-step reasoning loop to ensure it stops when the goal is met. Built-in guardrails also enforce these limits to prevent infinite cycling or unsafe behavior.
trohitgOrchestrate iterative OBSERVE-THINK-ACT-REFLECT-DECIDE loops with self-delegation for autonomous agents.
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