Claude Code Learning Skill
Master Claude Code configuration and optimization
Actions
| Action | Description | Example |
|---|
learn | Start learning guide | /claude-code-learning learn 1 |
setup | Auto-generate settings | /claude-code-learning setup |
upgrade | Latest features guide | /claude-code-learning upgrade |
learn [level]
Learning content by level:
- Level 1: Basics - Writing CLAUDE.md, Using Plan Mode
- Level 2: Automation - Commands, Hooks, Permission management
- Level 3: Specialization - Agents, Skills, MCP integration
- Level 4: Team Optimization - GitHub Action, Team rule standardization
- Level 5: PDCA Methodology - bkit methodology learning
setup
Auto-generate appropriate settings after analyzing current project:
- Analyze/generate CLAUDE.md
- Check .claude/ folder structure
- Suggest required configuration files
upgrade
Guide to latest Claude Code features and best practices.
Learning Levels
Level 1: Basics (15 min)
## What is CLAUDE.md?
A shared knowledge repository for the team. When Claude makes mistakes,
add rules to prevent the same mistakes from recurring.
## Example
# Development Workflow
## Package Management
- **Always use `pnpm`** (`npm`, `yarn` prohibited)
## Coding Conventions
- Prefer `type`, avoid `interface`
- **Never use `enum`** → Use string literal unions
## Prohibited
- ❌ No console.log (use logger)
- ❌ No any type
Level 2: Automation (30 min)
## What are Slash Commands?
Execute repetitive daily tasks with `/command-name`.
## Command Location
.claude/commands/{command-name}.md
## PostToolUse Hook
Auto-formatting after code modification:
// .claude/settings.local.json
{
"hooks": {
"PostToolUse": [{
"matcher": "Write|Edit",
"hooks": [{
"type": "command",
"command": "pnpm format || true"
}]
}]
}
}
Level 3: Specialization (45 min)
## What are Sub-agents?
AI agents specialized for specific tasks.
## What are Skills?
Domain-specific expert context. Claude auto-references when working on related tasks.
## MCP Integration
Connect external tools (Slack, GitHub, Jira, etc.) via .mcp.json.
Level 4: Team Optimization (1 hour)
## PR Automation with GitHub Action
Mention @claude in PR comments to auto-update documentation.
## Team Rule Standardization
1. Manage CLAUDE.md with Git
2. Add rules during PR review
3. Gradually accumulate team knowledge
## Agent Teams (v1.5.1)
Parallel PDCA execution with multiple AI agents working simultaneously.
Requirements:
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1
Usage:
/pdca team {feature} Start team mode
/pdca team status Check teammate progress
/pdca team cleanup End team session
Team composition by level:
Dynamic: 2 teammates (developer, qa)
Enterprise: 4 teammates (architect, developer, qa, reviewer)
Level 5: PDCA Methodology
## What is PDCA?
Document-driven development methodology.
Plan → Design → Do → Check → Act
## Folder Structure
docs/
├── 01-plan/ # Planning
├── 02-design/ # Design
├── 03-analysis/ # Analysis
└── 04-report/ # Reports
## Learn More
Use /pdca skill to learn PDCA methodology.
Level 6: Advanced Features (v1.5.1)
## Output Styles
Customize how Claude responds based on your project level.
Available styles:
bkit-learning Best for beginners (learning points, TODO markers)
bkit-pdca-guide Best for PDCA workflows (status badges, checklists)
bkit-enterprise Best for architects (tradeoff analysis, cost impact)
Usage:
/output-style Select interactively
/output-style bkit-learning Apply directly
Auto-recommendation:
Starter → bkit-learning
Dynamic → bkit-pdca-guide
Enterprise → bkit-enterprise
## Agent Memory
All bkit agents automatically remember context across sessions.
No configuration needed.
Memory scopes:
project 9 agents remember per-project context (.claude/agent-memory/)
user 2 agents remember cross-project learning (~/.claude/agent-memory/)
Agents with user-scope memory:
starter-guide Remembers your learning progress across projects
pipeline-guide Remembers your pipeline preferences globally
## Agent Teams
Parallel PDCA execution for Dynamic and Enterprise projects.
See Level 4 for details.
Output Format
📚 Claude Code Learning Complete!
**Current Level**: {level}
**Learned**: {summary}
🎯 Next Steps:
- Continue learning with /claude-code-learning learn {next_level}
- Auto-generate settings with /claude-code-learning setup
- Check latest trends with /claude-code-learning upgrade
Current Settings Analysis
Files to analyze:
- CLAUDE.md (root)
- .claude/settings.local.json
- .claude/commands/
- .claude/agents/
- .claude/skills/
- .mcp.json
Skills 2.0 Hot Reload (CC 2.1.0+)
CC 2.1.0+ supports hot reload for skill changes. No session restart needed.
Hot Reload Scope
- SKILL.md body changes: Instant reflection
- Frontmatter field changes: Instant reflection
- New skill additions: Instant reflection
Development Workflow
- Edit SKILL.md content and save
- Next slash invoke reflects changes immediately
- Use
/reload-plugins for forced refresh
Tips
- Test with
/eval run [skill-name] after changes
- Use
classification frontmatter to categorize skills
- Monitor with
/loop 5m /pdca status for ongoing work
