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aggelosChatziioannou
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Tool Calling with Reasoning Context

Document reasoning before and after each tool call in multi-step workflows.

Updated Mar 11, 2026
Search Tags:#debugging#context#AI assistant#reasoning#transparency#tool use
One-click install
npx skills add https://github.com/aggelosChatziioannou/kimi_claw_skills --skill tool-calling-with-reasoning-context
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Tool Calling with Reasoning Context
Source: https://github.com/aggelosChatziioannou/kimi_claw_skills/tree/main/tool-reasoning-context
Command: npx skills add https://github.com/aggelosChatziioannou/kimi_claw_skills --skill tool-calling-with-reasoning-context

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that the AI clearly explains its reasoning before and after using tools, making its actions transparent and understandable.

Core Features & Use Cases

  • Intent Declaration: AI states its purpose before calling a tool.
  • Contextual Continuity: Maintains the thread of thought across multi-step tool sequences.
  • Result Interpretation: AI explains the output of a tool in relation to the original goal.
  • Use Case: When debugging code, the AI will explain why it's running a specific command, what the output means, and how it helps in finding the bug.

Quick Start

Use the tool-reasoning-context skill to check the git status and then commit any changes.

Frequently Asked Questions about Tool Calling with Reasoning Context

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

FAQPage Schema
How do I make AI explain its reasoning before running a command?▼

To make AI explain its reasoning before running a command, use a skill that enforces intent declaration, requiring the AI assistant to state its purpose explicitly before executing any external tool.

What is contextual continuity in AI tool use?▼

Contextual continuity in AI tool use is the preservation of a reasoning thread across multi-step operations, ensuring the AI maintains logical links between sequential tool calls like Git commands or file system searches.

How do I keep AI transparent when debugging code with external tools?▼

You keep AI transparent when debugging code by applying post-execution analysis, which forces the AI to interpret tool outputs and explain how the results relate to the original debugging goal.

Does this reasoning context approach work with search engines and file systems?▼

Yes, this reasoning context approach works with search engines and file systems, applying transparent intent declaration and result interpretation to any external tool an AI assistant interacts with.

Why does my AI assistant lose context during multi-step tool sequences?▼

An AI assistant loses context during multi-step tool sequences without explicit contextual linking, a process that maintains the thread of thought and connects each tool output to the overall operation.

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