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Prompt Manager

Analyze and optimize AILANG teaching prompts for token efficiency and accuracy.

33|5|Updated Sep 26, 2025
Search Tags:#quality assurance#prompt engineering#AI development#prompt management#token efficiency#AI optimization#evaluations
One-click install
npx skills add https://github.com/sunholo-data/ailang --skill prompt-manager
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Prompt Manager
Source: https://github.com/sunholo-data/ailang/tree/main/.claude/skills/prompt-manager
Command: npx skills add https://github.com/sunholo-data/ailang --skill prompt-manager

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and resources (resource) components.

What problem does it solve?

Overly verbose or inaccurate AI teaching prompts lead to higher token costs, slower response times, and reduced code generation effectiveness. This Skill provides tools and guidance to optimize prompts for maximum information density, improving AI performance.

Core Features & Use Cases

  • Prompt Analysis: Analyze prompt size, code block count, table usage, and identify optimization opportunities, pinpointing areas for improvement.
  • Optimization Strategies: Guides on converting prose to tables, consolidating examples, and linking to external documentation, ensuring efficient token usage.
  • Effectiveness Validation: Critically test prompt changes using AILANG-only eval baselines to ensure effectiveness is maintained or improved, preventing regressions.
  • Use Case: When a user asks to "optimize the v0.3.17 prompt for conciseness," this Skill will analyze the current prompt, guide through token reduction strategies, and validate the changes to ensure AI code generation success rates are maintained.

Quick Start

Analyze current prompt for optimization opportunities

.claude/skills/prompt-manager/scripts/analyze_prompt_size.sh prompts/v0.3.17.md

Create a new optimized prompt version

.claude/skills/prompt-manager/scripts/create_prompt_version.sh v0.3.18 v0.3.17 "Optimize for conciseness (-20% tokens)"

Test the effectiveness of the new prompt version

.claude/skills/prompt-manager/scripts/test_prompt.sh v0.3.18

Frequently Asked Questions about Prompt Manager

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce token costs in AI teaching prompts?▼

Reducing token costs involves analyzing prompt size, converting verbose prose to tables, consolidating examples, and linking to external documentation. This Skill provides automated analysis tools and optimization strategies to maximize information density while maintaining AI code generation effectiveness.

What optimization strategies reduce prompt bloat without hurting accuracy?▼

Token-efficient techniques include restructuring content as tables, removing redundant examples, and referencing external resources instead of embedding full text. This Skill guides you through each strategy and validates changes against eval baselines to ensure accuracy doesn't degrade.

How do I test whether my optimized prompt still performs well?▼

Test prompt effectiveness using AILANG-only eval baselines to verify that code generation success rates are maintained or improved after optimization. Automated analysis and verification workflows catch regressions before deployment.

Can I version and track changes to my prompts?▼

Yes, this Skill manages prompt versions through prompts/versions.json with hash updates and automated tracking. Create versioned prompt files, document optimization changes, and maintain a complete history of edits and performance metrics.

What happens if my prompt is already highly optimized?▼

Prompt analysis identifies remaining optimization opportunities by measuring current size, code block count, and table usage. Even well-optimized prompts may reveal token savings through consolidation or restructuring techniques.

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