Usage Optimization Skill
Scanned 9/2/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill usage-optimization --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: usage-optimization
version: "1.0.0"
category: ai
description: "Usage Optimization Skill"
---
# Usage Optimization Skill
> Version: 1.0.0
> Category: Optimization
> Triggers: High usage alerts, efficiency improvements, batch operations
## Quick Reference
### Effectiveness Ratings
| Approach | Rating | Time Saved |
|----------|--------|------------|
| Script + AI Input + AI Command | ⭐⭐⭐⭐⭐ | 90% |
| Git Operations (Claude) | ⭐⭐⭐⭐⭐ | 80% |
| Script + Input File | ⭐⭐⭐⭐ | 70% |
| Preparing Input Files | ⭐⭐⭐⭐ | 75% |
| Script Only (no input) | ⭐⭐⭐ | 40% |
| LLM Descriptions | ⭐ | -20% |
## Best Practice: Execution Over Description
```
❌ BAD: "Can you describe what analyze_data.py does?"
Result: Long description, no actionable output
✅ GOOD: "Prepare input file for data analysis and provide command"
Result: Working configuration + executable command + actual results
```
## Optimal Workflow Pattern
```
1. ⭐⭐⭐⭐⭐ AI prepares input YAML file
└─ Following template in templates/input_config.yaml
└─ Validated against schema
└─ Version controlled in config/input/
2. ⭐⭐⭐⭐⭐ AI provides exact bash command
└─ Points to correct script in scripts/
└─ References prepared input file
└─ Includes all necessary flags
3. ⭐⭐⭐⭐⭐ User executes command
└─ Copy/paste provided command
└─ Review output and results
└─ Version control any changes
4. ⭐⭐⭐⭐⭐ Use Claude for git operations
└─ Commit results
└─ Create meaningful commit messages
└─ Manage branches and PRs
```
## Prompt Optimization
### Context-First Prompts
```markdown
## Task Context
- Repository: digitalmodel (Work)
- Complexity: Medium
- Time sensitivity: Production hotfix
- Dependencies: None
- Testing required: Yes
## Specifications
[Full specifications here]
## Output Format
[Exact format needed]
## Constraints
[Any limitations]
Generate [specific deliverable] following this context.
```
### Batch Operations Template
```markdown
I need to perform the following operations across multiple repositories:
## Scope
- Repositories: [list or "all work" or "all personal"]
- Operation type: [commit/sync/test/build/deploy]
## Configuration
```yaml
operation: batch_commit
scope: work_repositories
config:
message: "Update dependencies to latest"
auto_push: true
run_tests: true
```
## Expected Output
- Status report per repository
- Aggregate success/failure metrics
- Next actions if any failures
```
## Anti-Patterns to Avoid
### ❌ Description-Only Requests
```
BAD: "Describe what this script does"
Result: No actionable output, wasted tokens
```
### ❌ Skipping Questions
```
BAD: Directly generating from vague requirements
GOOD: "Before generating, I need to understand: [list]"
```
### ❌ Making Assumptions
```
BAD: "I'll assume we want JWT authentication"
GOOD: "Should we use JWT, sessions, or OAuth?"
```
## Usage Monitoring Commands
```bash
# Check usage
./scripts/monitoring/check_claude_usage.sh check
# View today's summary
./scripts/monitoring/check_claude_usage.sh today
# View recommendations
./scripts/monitoring/check_claude_usage.sh rec
# Log a task
./scripts/monitoring/check_claude_usage.sh log sonnet digitalmodel "Feature work"
```
## Daily Checklist
**Before Starting Work:**
- [ ] Check usage at https://claude.ai/settings/usage
- [ ] Note Sonnet percentage
- [ ] Plan model distribution for session
- [ ] Batch similar tasks together
**During Work:**
- [ ] Use Haiku for quick queries
- [ ] Reserve Sonnet for standard implementations
- [ ] Use Opus only for complex decisions
- [ ] Batch related questions
**End of Session:**
- [ ] Review usage increase
- [ ] Update usage log
- [ ] Plan next session if approaching limits
## Target Metrics
| Metric | Current | Target |
|--------|---------|--------|
| Sonnet usage | 79% | <60% |
| Overall usage | 52% | <70% |
| Model distribution | Unbalanced | 30/40/30 |
## Full Reference
See: @docs/AI_AGENT_USAGE_OPTIMIZATION_PLAN.md
See: @docs/modules/ai/AI_USAGE_GUIDELINES.md
---
*Use this when optimizing AI usage, improving efficiency, or managing usage limits.*
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