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Build Your Personal Skill Folder

Stop writing one-off prompts. Build a reusable library of AI "skills" — structured prompt templates that make every interaction faster, sharper, and more consistent. Inspired by professional agent frameworks like PicoAgents, adapted for knowledge workers who don't write code. This is executable knowledge that travels with you.

30–40 min video3 short clipsWorksheet included

🎬Watch Module 8

Module 8: Build Your Personal Skill Folder

HeyGen Video — Coming Soon

30–40 min · Best viewed with headphones

What you'll cover

1Skills vs. one-off prompts

2The 3 starter skills: Intake, Research, Draft & Review

3Building your personal skills/ folder

4Customizing skills for your role

5Running skills in any AI tool

6The 90-day skill building plan

Inside this module

Skills vs. One-Off Prompts

Start Lesson →

Most people use AI like a search engine — one question at a time, starting from scratch. Professionals use Skills: modular, reusable instruction sets with a name, purpose, step-by-step instructions, and predictable output format.

One-off prompts give inconsistent quality; Skills give consistent results every time

Skills are portable (you take them when you leave), demonstrable ("I have a documented AI workflow library"), and compound (after 90 days you'll have 10-15 battle-tested templates)

This is Module 3's Knowledge Base concept made actionable — you're storing executable knowledge, not just information

The 3 Starter Skills — Intake, Research, Draft & Review

Start Lesson →

You don't need 50 skills. You need 3 that cover 80% of your work: The Clarifier (Intake), The Investigator (Research), and The Editor (Draft & Review). Each follows the same structure: Name, Goal, When to Use, Instructions.

Intake Skill: asks 5-7 clarifying questions before work begins — eliminates 80% of "that's not what I wanted" revisions

Research Skill: clarifying Qs → research plan → step-by-step execution → 200-300 word summary + 3 risks + 3 actions

Draft & Review Skill: two-pass writing (draft → self-critique → revised version) consistently beats even detailed single-pass prompts

Building Your Personal Skills Folder

Start Lesson →

Step-by-step setup in 10 minutes. Choose your storage (Finder folder, Notion, Obsidian, Google Docs, or Apple Notes), create 3 starter files, add a README, and you're done. The hardest part is starting.

Start with a simple folder called skills/ — don't let tool choice slow you down

Create 01-Intake.md, 02-Research.md, 03-Draft-and-Review.md, and 00-README.md

Your README documents how to use the library, lists all skills, and includes your personal rules (one skill per task type, never put proprietary data in skill files)

Customizing Skills for Your Role

Start Lesson →

The starter skills are generic by design. Now make them yours. Add industry-specific language, format requirements, compliance guardrails, and quality criteria. Role-specific examples for finance, marketing, ops, sales, and management.

Financial pros: Client-Recap, Risk-Analysis, Compliance-Check, Market-Brief

Marketing pros: Campaign-Brief, A/B-Copy, Competitive-Scan, Content-Recycle

Sales pros: Prospect-Research, Follow-Up, Objection-Handler, Deal-Review — the more tailored your skills, the more indispensable you become

Running Skills in Any AI Tool

Start Lesson →

Three methods: Copy-Paste (works everywhere), Custom GPTs/Claude Projects (persistent), and System Prompts (advanced). Skills are platform-independent — they work in ChatGPT, Claude, Gemini, Copilot, or Perplexity.

Method 1: Copy-paste the skill into any AI tool — works everywhere, no setup

Method 2: Create Custom GPTs, Claude Projects, or Gemini Gems for persistent skills

Skills are career insurance: if your company switches AI tools tomorrow, your skills folder comes with you

Growing Your Library — The 90-Day Plan

Start Lesson →

Start with 3, grow to 12. The 3x Rule (done a task 3 times? make it a skill), the weekly 5-minute review habit, and the Trajectory Log — a weekly log of AI-assisted tasks that builds into a career clarity portfolio.

Week 1-2: Set up folder + 3 starters. Week 3-4: Add 2 role-specific + 1 custom. Month 2: Revise top 3, add chaining. Month 3: 8-12 skills, share with team, update LinkedIn

The Trajectory Log: log one AI task trace per week (task, skill used, steps, quality, time saved) — builds a portfolio of documented AI competence

In 90 days you can show "I have 12 documented AI workflow skills" and "my average time savings is 47% per task" — that's a career clarity moat