think-skills

Simulate prompt, skill, and workflow execution to verify logical consistency and side effects.

1|Updated May 6, 2022
One-click install
npx skills add https://github.com/cloud-native-tools/cws-lib-bash --skill think-skills
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: think-skills
Source: https://github.com/cloud-native-tools/cws-lib-bash/tree/main/.specify/skills/think-skills
Command: npx skills add https://github.com/cloud-native-tools/cws-lib-bash --skill think-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the risk of unintended side effects by allowing you to perform a mental dry run of any prompt, skill, or workflow before actual execution.

Core Features & Use Cases

  • Mental Simulation: Verify logic, identify hidden assumptions, and detect potential failure modes without triggering real-world actions.
  • Adversarial Testing: Use devil's advocate scenarios to stress-test prompts and workflows against edge cases and conflicting inputs.
  • Use Case: Before deploying a complex multi-step automation script, use this skill to trace the state machine and ensure all logic paths are robust and error-free.

Quick Start

Use the think-skills skill to perform a mental dry run of the target workflow and identify potential failure modes.

Frequently Asked Questions about think-skills

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

FAQPage Schema
How do I verify prompt logic without triggering real-world actions?

Mental simulation verifies prompt logic by tracing state transitions and identifying potential side effects before actual execution. This dry-run method ensures deterministic script contracts and catches edge cases safely.

What is mental simulation for multi-step automation workflows?

Mental simulation is a dry-run technique that traces state transitions in multi-step automation workflows to verify logical consistency. It identifies hidden assumptions and potential failure modes without executing real-world actions.

Can I use dry-run testing to stress-test prompts against edge cases?

Dry-run testing supports adversarial scenarios to stress-test prompts against edge cases and conflicting inputs. This logic-verification process identifies potential failure modes by applying structured mental tracing to complex agentic tasks.

How do I check prompt engineering logic for side effects before deployment?

Checking prompt engineering logic requires tracing state transitions and analyzing deterministic script contracts to identify potential side effects. This structured mental simulation validates edge-case handling before deploying complex workflows.

When should I use logic verification for complex agentic tasks?

Use logic verification for complex agentic tasks when you need to validate multi-step automation design and prompt engineering before deployment. It performs structured mental tracing to ensure all logic paths are robust and error-free.

What are the limitations of mental simulation for workflow testing?

Mental simulation for workflow testing relies on structured tracing of state transitions and deterministic script contracts, meaning its accuracy depends on correctly modeling all logic paths and anticipating edge cases without real execution.