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Agents, Skills & Real Impact

Claude Code - Week 3

Agents Skills Impact Best Practices
2h
Duration
3
Core Topics
Dev
Audience
SLIDE 02 / 20
๐Ÿ“š Recap

Recap from Week 2

Claude Code as an AI-aided development tool

๐Ÿ›

Bug Fixing

AI-assisted debugging and root cause analysis

๐Ÿ“

Code Standards

Refactoring and quality improvements

๐Ÿงช

TDD

Test-driven development assistance

๐Ÿ”’

Security

Security awareness and pattern detection

"AI is helpful, but structure matters"
SLIDE 03 / 20
๐Ÿค– Agents

What Is an AI Agent?

An Agent is:

  • A goal-oriented AI worker
  • Has context, responsibility, and boundaries
  • Persistent across tasks
Think of it as a junior developer with a specific role

Example Roles

๐Ÿ› Bug-fix Agent
Specializes in debugging
๐Ÿ”„ Refactoring Agent
Code quality improvements
๐Ÿ”’ Security Agent
Security review focus
SLIDE 04 / 20
โšก Skills

What Is a Skill?

A Skill is:

  • A reusable capability or instruction set
  • Defines how the agent behaves
  • Defines what standards it follows

Example Skills

  • Laravel coding standards
  • TDD-first workflow
  • OWASP security checklist
  • API design patterns
Skills = Reusable Instructions
SLIDE 05 / 20
โš–๏ธ Comparison

Agent vs Skill

๐Ÿค– Agent
  • Has a role
  • Goal-oriented
  • Persistent context
  • Works on tasks
โšก Skill
  • Has a capability
  • Instruction-oriented
  • Reusable logic
  • Shapes how tasks are done
Visual Comparison
SLIDE 06 / 20
๐Ÿ“Š Baseline

Without Agent & Skill

The baseline experience

Common Issues

  • Single prompt usage
  • No long-term context
  • Inconsistent results
  • Repeated mistakes
  • Style inconsistency
  • Missed edge cases

Works Well For

  • Small tasks
  • Quick questions
  • One-off queries
SLIDE 07 / 20
๐Ÿค– Agent Only

With Agent but No Skill

Agent has a role but no strict rules

โœ“ Pros
  • Better focus
  • Task continuity
  • Role awareness
โœ— Cons
  • Still inconsistent coding style
  • Security and standards may vary
  • No enforced patterns
Result: Better than baseline, but unreliable
SLIDE 08 / 20
โšก Skill Only

With Skill but No Agent

Strong instructions, no task ownership

โœ“ Pros
  • Better code quality
  • Consistent patterns
  • Standards enforced
โœ— Cons
  • No memory of progress
  • Harder for complex flows
  • No task ownership
Result: Good for reviews, not execution
SLIDE 09 / 20
๐Ÿ† Best Practice

With Agent + Skill

๐Ÿค–

Agent

Who is doing the work

โšก

Skill

How the work is done

โœ“ Consistent output

โœ“ Better architecture

โœ“ Reduced regression

โœ“ Faster iteration

SLIDE 10 / 20
๐Ÿ“Š Impact

Impact Comparison

Quality / Speed / Risk by Scenario
Scenario Quality Speed Risk
No Agent / No Skill Low Fast High
Agent Only Medium Medium Medium
Skill Only Medium Slow Medium
Agent + Skill High Fast Low
SLIDE 11 / 20
๐Ÿ› Bug Fixing

Bug Fixing Impact

โŒ Without Agent

Fix symptom, not root cause

  • Quick patch applied
  • No understanding of why
  • Bug returns later
โœ“ With Agent + Skill
1. Reproduce bug
Understand the issue
2. Add test
Capture the failure
3. Fix logic
Address root cause
4. Prevent regression
Test passes forever
SLIDE 12 / 20
๐Ÿ“ Standards

Code Standard Impact

Enforced Patterns

  • Naming conventions
  • Layer separation
  • Framework best practices
  • Consistent structure

Reduced

  • Code review comments
  • Rework time
  • Onboarding friction
  • Technical debt
Code Review Comments Reduction
SLIDE 13 / 20
๐Ÿงช TDD

TDD Impact

Agent Enforces

  • Test-first mindset
  • Coverage awareness
  • Edge case identification

Result

  • More confidence during refactor
  • Easier onboarding for new devs
  • Living documentation
Test Coverage Over Time
SLIDE 14 / 20
๐Ÿ”’ Security

Security Impact

Skill-based Checklist

  • Input validation
  • AuthZ vs AuthN
  • Injection risks
  • OWASP patterns

Agent Ensures

  • Security is not "optional"
  • Issues are flagged early
  • Consistent review process
Security Issues Found Early
SLIDE 15 / 20
๐Ÿ’ผ Real World

Real Project Example

โŒ Without Agent
  • Fix takes 1 hour
  • Regression appears next sprint
  • More firefighting
  • Lower trust in releases
โœ“ With Agent + Skill
  • Fix takes 1.5 hours
  • No regression
  • Less firefighting
  • Higher trust in releases
Net gain: Less firefighting, higher trust
SLIDE 16 / 20
โš ๏ธ Caution

When NOT to Use Agents

Overhead > Benefit

๐Ÿ“

Very Small Scripts

Quick one-liners don't need structure

๐Ÿงช

One-off Experiments

Throwaway code, POCs

๐Ÿ”

Exploratory Spikes

Learning and discovery phase

โš–๏ธ

Simple Queries

Quick questions don't need agents

SLIDE 17 / 20
๐Ÿš€ Strategy

Adoption Strategy

Start Small

One Agent
Pick a focused role
One Skill
Define core standards

Expand Gradually

Add Security
Security review skill
Add Testing
TDD enforcement
Add Architecture
Pattern enforcement
SLIDE 18 / 20
๐ŸŽฏ Summary

Key Takeaways

๐Ÿค–

Agents give Ownership

Focused, goal-oriented work

โšก

Skills give Consistency

Reliable, repeatable patterns

Together They:

๐Ÿ“ˆ
Improve Quality
๐Ÿ›ก๏ธ
Reduce Risk
๐Ÿ“š
Scale Knowledge
SLIDE 19 / 20
๐Ÿ’ฌ Discussion

Open Discussion

SLIDE 20 / 20

Next Week Preview

Week 4 Topics

๐Ÿค

Multi-agent Collaboration

Agents working together

๐Ÿ”„

CI/CD + AI Agents

Integration in pipelines

๐Ÿ“Š

Measuring ROI

AI impact in development

๐Ÿ  All Sessions