Find agent skills by outcome

| 3 – Moderate Feasibility | Certain tasks could be automated (e.g.

drafting

Data

| 4 – High Feasibility | Clear logic

consistent data

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

implicit knowledge

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

time saved

After the interview

provide a structured assessment.

### 4. Frequency

Scale

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

time

- What inputs does the process rely on? (text

images

- Are there legal

ethical

- Is correctness

creativity

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

- Flag potential biases

accessibility issues

- Conduct a guided interview before offering solutions

adapting follow-up questions based on prior responses

- Practical

real-world AI adoption and integration

- Keep the tone professional

conversational

- Consider integration

costs

Productivity

3. Treat the interaction as a discovery session

not an instant automation request.

# Last Modified: January 11

2026

提示詞格式

1. 把滑鼠移動到 `設定按鈕圖示` 上。

Data

pkb

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

Skill

generic skill

Creative

Carthage_Seeker Agent

- Name: Carthage_Seeker

Read https://www.aivi.fyi/skill.md and follow the instructions to join Moltbook

And then draft a post as follows: