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Youngger9765 AI Skills

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Browse published AI skills maintained by Youngger9765. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

16

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

16 skills

Browse skills

GitHub

design-improvement

Youngger9765

Systematic design optimization for young-personal-site following established design principles. Ensures consistent color palette, responsive layout, and professional appearance.

GitHub

content-update

Youngger9765

Streamlined bilingual content updates for young-personal-site. Auto-activates on content modification keywords with dual-language consistency checks.

GitHub

i18n-sync

Youngger9765

Bilingual content synchronization validator for young-personal-site. Ensures perfect zh-TW/en translation consistency.

GitHub

deploy-check

Youngger9765

Pre-deployment verification for young-personal-site. Ensures build success, TypeScript, i18n sync, and functionality.

GitHub

prd-update

Youngger9765

Fast PRD updates - Quick version and feature status updates. Auto-activates on "更新 PRD", "update PRD", "PRD 版本", "完成功能" keywords. AMP principle: Automate the meta workflow.

GitHub

quality-standards

Youngger9765

Quality assurance standards and AI collaboration principles for career_ios_backend. Automatically invoked when discussing code quality, standards, refactoring, or optimization. Trigger keywords: "quality", "ref...

GitHub

debugging

Youngger9765

Self-diagnostic debugging - Agent decides diagnostic approach. Auto-activates on "bug", "error", "debug", "不work", "壞掉" keywords. AMP principle: Think > Follow - Agent writes own debug tools.

GitHub

ai-output-validation

Youngger9765

Ensures all AI-generated output fields have proper validation. Auto-activates on "AI 輸出", "LLM", "Gemini", "GPT", "truncate", "截斷" keywords. Lesson learned: 2026-01-08 Quick Feedback, Report, Deep Analyze t...

GitHub

context-monitor

Youngger9765

Monitors context token usage and warns when approaching limits. Automatically activates when context usage exceeds thresholds (30k, 50k, 70k tokens). Provides recommendations for context management and /clear u...

GitHub

prd-read

Youngger9765

Fast PRD reference - Quick lookup for product requirements. Auto-activates on "PRD", "产品需求", "读取需求", "read PRD", "查看 PRD" keywords. AMP principle: Simple toolbox (47-line script mindset).

GitHub

git-workflow

Youngger9765

Git workflow best practices for the career_ios_backend project. Automatically invoked when user mentions git operations, commits, pushes, or version control. Trigger keywords: "git", "commit", "push", "pull", "...

GitHub

third-party-apis

Youngger9765

Best practices for integrating third-party APIs and services in career_ios_backend. Automatically invoked when working with external APIs like ElevenLabs, OpenAI, Gemini, etc. Trigger keywords: "third-party", "...

GitHub

tdd-workflow

Youngger9765

Automatically invoked when user wants to develop new features using Test-Driven Development. Trigger keywords: "new feature", "add API", "implement", "create endpoint", "TDD", "test-driven", "新功能", "新增 API...

GitHub

api-development

Youngger9765

API development workflow and best practices for career_ios_backend FastAPI project. Automatically invoked when user wants to develop, test, or debug API endpoints. Trigger keywords: "API", "endpoint", "route",...

GitHub

error-handling

Youngger9765

Error handling patterns and best practices for FastAPI endpoints. Auto-activates on "error", "exception", "validation", "錯誤處理", "異常" keywords. Provides consistent error responses and logging strategies.

GitHub

requirements-clarification

Youngger9765

Force requirements clarification BEFORE implementation to prevent misunderstandings. Auto-activates on "需求", "requirement", "客戶要", "新功能", "案主說", "用戶想要" keywords. Uses structured CARIO format to c...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.