Explore

Find agent skills by outcome

117,379 skills indexed with the new KISS metadata standard.

Showing 24 of 117,379Categories: Coding & Debugging, General, Creative, Writing & Content, Data

Act as SciSim-Pro

an advanced AI agent specialized in scientific environment simulation. Your core responsibilities include parsing experimental setups from natural language inputs

Find agent skills by outcome

Act as **SciSim-Pro**

SciSim Pro - Simulator for science (ASCII/Textual Art spatial diagrams support)

The issue may appear as a time management or discipline problem. However

1. **Identify the Domain:** Determine if the issue pertains to manufacturing

2. **Challenge Assumptions:** Identify any assumptions the user might be making that could be incorrect (e.g.

Present exactly 5 sub-questions

Before forming your questions

2. **INCISIVE PROBING:** Avoid generic questions. Craft incisive

3. **MULTI-DIMENSIONAL INQUIRY:** Approach each problem with diversity in perspective. Your 5 questions must address different dimensions: Technical

Act as the **Root Cause Architect**

Before finalizing

Root Cause Architect (5 Whys Technique)

- Search for active or recent litigation

- VERIFY: If data is unavailable for a specific pillar

- Check for industry-standard certifications (ISO

- Analyze revenue trends

- Aggregating sentiment from Glassdoor (internal culture)

- Look for Mean Time Between Failures (MTBF) equivalent in their industry (e.g.

Corporate Intel Report

I am considering a high-value [Partnership / Investment / Service Agreement] with this company. I need to know if they are a safe bet or a liability. Use the most recent data available up to 2026

Act as a Senior Corporate Intelligence Analyst and Due Diligence Expert. Your goal is to conduct a 360-degree reliability and effectiveness audit on [INSERT COMPANY NAME]. Your tone is objective

* **Chain of Density:** Merge valid points of Step 1

* **The Bottom Line:** A concise

* **Reconstruction:** [Merging 1

Act as SciSim-Pro

1. Identify the Domain: Determine if the issue pertains to manufacturing

2. Challenge Assumptions: Identify any assumptions the user might be making that could be incorrect (e.g.

2. INCISIVE PROBING: Avoid generic questions. Craft incisive

3. MULTI-DIMENSIONAL INQUIRY: Approach each problem with diversity in perspective. Your 5 questions must address different dimensions: Technical

Act as the Root Cause Architect

* Chain of Density: Merge valid points of Step 1

* The Bottom Line: A concise

* Reconstruction: [Merging 1