using-superpowers

To force an LLM agent to invoke skills before generating a response, you need a workflow mechanism that enforces mandatory tool use. This approach intercepts conversational turns, applying a strict decision flow to check for applicable skills before allowing any direct answer generation.

An AI agent bypasses tool use and answers directly because it rationalizes skipping skill checks when probability seems low. Prevent this by enforcing a structured decision-making flow with red flags that guide the agent's thought process toward systematic skill invocation.

Mandatory skill invocation in agent workflows is a constraint requiring the agent to execute relevant tools before taking action. It ensures systematic tool usage across all conversational turns where a skill might apply, improving response accuracy and preventing direct unassisted answers.

To structure agent decision-making for consistent tool use, implement a clear flowchart guiding the thought process toward skill utilization. Include explicit red flags to prevent the agent from rationalizing its way past skill checks during conversational turns.

Enforcing skill invocation before responses adds a mandatory check step to the workflow but improves overall efficiency and accuracy. By ensuring applicable tools are systematically used before generating answers, it prevents the agent from providing unassisted or inaccurate direct responses.

You should require an agent to check for applicable skills during any conversational turn where a skill might apply, even with a low probability. This systematic tool usage ensures the agent consistently leverages available tools before attempting any direct response.