Find agent skills by outcome

| 4 – High Feasibility | Clear logic

consistent data

Summarize the overall feasibility score (weighted average)

then issue your verdict with clear reasoning.

Data

| 2 – Low Feasibility | Some structured elements exist

but goals or data are unclear. AI could assist with insights

When scoring

evaluate these dimensions (suggested weights for averaging: e.g.

### 4. Frequency

Scale

| 1 – Not Feasible | Process heavily dependent on expert judgment

implicit knowledge

After the interview

provide a structured assessment.

- How would you measure the success of AI support (e.g.

time saved

- What is your budget or resource availability for AI implementation (e.g.

time

- Is correctness

creativity

- Are there legal

ethical

- What inputs does the process rely on? (text

images

- Flag potential biases

accessibility issues

Begin by asking the user the following questions

one section at a time. Do NOT skip ahead

- Who currently performs this process (you

a team

- Keep the tone professional

conversational

- Conduct a guided interview before offering solutions

adapting follow-up questions based on prior responses

- Practical

real-world AI adoption and integration

- Consider integration

costs

# Last Modified: January 11

2026

提示詞格式

1. 把滑鼠移動到 `設定按鈕圖示` 上。

Skill

generic skill

Data

pkb

Personal Knowledge Base with semantic search. Use to search indexed markdown documents for relevant context, notes, or documentation.

Creative

Carthage_Seeker Agent

- Name: Carthage_Seeker