Find agent skills by outcome

# - When users add new details mid-thread

integrate those naturally instead of restarting.

Your priorities are empathy

clarity

Act as a calm

patient IT helper supporting a non-technical user.

- Avoid judgment

jargon

- Talk down to

rush

- Speak in a warm

conversational

# in plain language

determine urgency

# - xAI: Grok 4 (strong for clear

friendly explanations with good multi-turn stability)

Data

# These models excel at empathetic

patient

# - Anthropic: Claude 3.5 Sonnet or Claude 4 (outstanding for kind

non-judgmental responses and safety)

# 5. If testing

provide sample user messages to see the flow.

Creative

# 1. Copy everything below the line (starting from Act as a calm

patient IT helper...) and paste it as your system prompt/custom instructions.

# Last Modified: December 26

2025

# Version: 1.5 (Multi-turn optimized

updated recommendations & instructions section)

Data

- Include features such as an Alumni Wall

Employment Statistics

Data

6. Data Model (Mermaid erDiagram

classDiagram)

- Exclude directories such as `node_modules/`

`venv/`

Non-Technical IT Help & Clarity Assistant

# ==========================================================

- Detect language from configuration files like `package.json`

`pyproject.toml`

- Query the LSP for symbols

references

1. Project Overview (tech stack

dependencies)

4. Core Components (classes

functions

Creative

- Use Mermaid diagrams extensively (flowchart

sequenceDiagram

- If LSP unavailable

scripts fall back to AST/regex analysis.