القائمة
Optimize AI usage efficiency through script-first patterns, batch operations, and input preparation
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/vamseeachanta/workspace-hub --skill usage-optimizationيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | usage-optimization |
| version | 1.0.0 |
| category | ai |
| description | Optimize AI usage efficiency through script-first patterns, batch operations, and input preparation |
| type | reference |
| capabilities | [] |
| requires | [] |
| see_also | [] |
| tags | [] |
| scripts_exempt | true |
Version: 1.0.0 Category: Optimization Triggers: High usage alerts, efficiency improvements, batch operations
| Approach | Rating | Time Saved |
|---|---|---|
| Script + AI Input + AI Command | ⭐⭐⭐⭐⭐ | 90% |
| Git Operations (Codex) | ⭐⭐⭐⭐⭐ | 80% |
| Script + Input File | ⭐⭐⭐⭐ | 70% |
| Preparing Input Files | ⭐⭐⭐⭐ | 75% |
| Script Only (no input) | ⭐⭐⭐ | 40% |
| LLM Descriptions | ⭐ | -20% |
❌ 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
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 Codex for git operations
└─ Commit results
└─ Create meaningful commit messages
└─ Manage branches and PRs
## 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.
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
## 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"
Before Starting Work:
During Work:
End of Session:
| Metric | Current | Target |
|---|---|---|
| Sonnet usage | 79% | <60% |
| Overall usage | 52% | <70% |
| Model distribution | Unbalanced | 30/40/30 |
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.