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Multi-agentLearning & ResearchAdvancedFree

Skills Gap Analysis System.

5 agents, 5 deliverables.

Run a multi-agent workflow to produce an execution-ready skills gap analysis system deliverable.

WORKFLOW META
Agents5
Total tokens (avg)~1,000
Run time15 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryLearning & Research
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
Skills Mapper Current
· 02 ·
Learning Path Designer
· 03 ·
Design a prioritised learning path to close the identified gaps. For each high-priority gap: recommend the
· 04 ·
Progress Tracking System Learning path
· 05 ·
Build a 90-day tracking framework.
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{current_role_level}}
Current role level
Current role level
SEO content strategist
{{target_role_level}}
Target role level
Target role level
SEO content strategist
{{industry}}
Industry
Industry
AI education and prompt templates
{{timeline_to_reach_target}}
Timeline to reach target
Timeline to reach target
launching in 4 weeks
THE AGENTS

The 5-step sequence.

01
AGENT · SKILLS MAPPER

Skills Mapper Current

GOAL OF THIS STEP

role, target role, industry Map the skills required for the target role. Compare against typical skills at the current level. Identify the gap — skills the person likely has, skills they likely lack, and skills unique to the target role. Skills comparison table: Skill Required for target Likely current level Gap size (High/Med/Low)

EXPECTED OUTPUT

Return the deliverable specified for this agent in the source system.

agent-01-skills-mapper-current.md
### Input
Use the main workflow variables above.

### Task
role, target role, industry Map the skills required for the target role. Compare against typical skills at the current level. Identify the gap — skills the person likely has, skills they likely lack, and skills unique to the target role. Skills comparison table: Skill Required for target Likely current level Gap size (High/Med/Low)

### Output
Return the deliverable specified for this agent in the source system.
02
AGENT · LEARNING PATH

Learning Path Designer

03
AGENT · DESIGN A

Design a prioritised learning path to close the identified gaps. For each high-priority gap: recommend the

04
AGENT · PROGRESS TRACKING

Progress Tracking System Learning path

05
AGENT · BUILD A

Build a 90-day tracking framework.

HOW TO RUN

Three steps. 15 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 5 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Skills Mapper Current

Return the deliverable specified for this agent in the source system.

Learning Path Designer

Return the deliverable specified for this agent in the source system.

Design a prioritised learning path to close the identified gaps. For each high

priority gap: recommend the – Return the deliverable specified for this agent in the source system.

Progress Tracking System Learning path

Return the deliverable specified for this agent in the source system.

Build a 90

day tracking framework. – Return the deliverable specified for this agent in the source system.

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