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AI Design Components

Updates, releases, and insights about AI Design Components

v0.4.0: 100% Progressive Disclosure Coverage

· 3 min read
Anton Coleman
Anton Coleman
Project Maintainer
Claude
Claude
AI Assistant

Major Achievement: All 29 production skills now have complete progressive disclosure with zero broken references. We created 110 new files across 17 skills in a comprehensive 7-hour sprint to achieve 100% completion.

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The Journey​

Starting from 41% completion with 116 missing files, we systematically completed progressive disclosure across all skills in 4 phases:

  • Phase 0: Low Priority (7 skills, 20 files)
  • Phase 1: Medium Priority (4 skills, 22 files)
  • Phase 2: High Priority (4 skills, 30 files)
  • Phase 3: Critical Priority (2 skills, 38 files)

What We Created​

110 Files Total​

  • 54 reference guides - Comprehensive documentation
  • 42 code examples - Working implementations across Python, TypeScript, Rust, Go
  • 12 automation scripts - Token-free execution utilities
  • 2 configuration assets - Templates and schemas

Complete Coverage Now Includes​

Database Skills

  • All database types: relational, document, vector, timeseries, graph
  • Query optimization, indexing strategies, schema design
  • Language support: Python (SQLAlchemy, Prisma), TypeScript (Drizzle, Prisma), Rust (sqlx, Diesel), Go (sqlc, GORM)

API Patterns

  • REST, GraphQL, gRPC, tRPC implementations
  • 5 languages: Python (FastAPI, Strawberry), TypeScript (Express, tRPC), Rust (Axum), Go (Gin), with complete examples

AI/ML Pipeline

  • RAG implementations with chunking strategies
  • Embedding optimization and vector search
  • Data versioning and orchestration patterns
  • Complete Qdrant setup and evaluation scripts

Chat Interfaces

  • Streaming responses with SSE
  • Multi-modal input handling (text, images, files)
  • Tool-calling patterns
  • Accessibility (WCAG 2.1 AA compliance)

Dashboard Components

  • Executive dashboards with KPIs
  • Monitoring dashboards with real-time data
  • Customizable layouts and themes
  • Grid systems and responsive patterns

Data Tables

  • Basic, interactive, and advanced grid patterns
  • Virtual scrolling for large datasets
  • Inline editing and state persistence
  • Server-side sorting and filtering
  • TanStack Table and AG Grid examples

Media Handling

  • Image upload, cropping, and optimization
  • Video players with HLS/DASH streaming
  • Audio players with waveform visualization
  • PDF viewers (iframe, PDF.js, React-PDF)
  • Office document viewers
  • Cloud storage integration (S3, GCS, Cloudinary)

Message Queues

  • BullMQ (Redis-based) and Celery (Python) guides
  • Complete workflow examples with Temporal
  • Retry patterns and error handling

Observability

  • LGTM stack (Loki, Grafana, Tempo, Mimir)
  • OpenTelemetry integration
  • Automated setup scripts

Full-Stack Templates

  • Python (FastAPI, Flask, Django)
  • TypeScript (Next.js, Express)
  • Rust (Axum, Actix)
  • Go (Gin, Echo)

Impact​

This milestone means:

✅ All 29 skills are production-ready ✅ Zero broken references - every link works ✅ Progressive disclosure intact - efficient token usage ✅ Multi-language support - Python, TypeScript, Rust, Go ✅ Complete documentation - references for every pattern ✅ Working examples - copy-paste ready code ✅ Token-free scripts - automation without context cost

The Difference​

Before: Skills had incomplete progressive disclosure, broken references, missing examples

After: Every skill has:

  1. SKILL.md (<500 lines) - Main skill file
  2. references/ - Detailed documentation files
  3. examples/ - Production-ready code
  4. scripts/ - Utility automation

What's Next​

With all 29 frontend/backend skills complete, we're expanding to:

  • DevOps Skills - CI/CD, infrastructure, deployment
  • Security Skills - Auth, secrets, compliance
  • Cloud Skills - AWS, GCP, Azure patterns
  • AI/ML Skills - MLOps, embeddings, evaluation

See v0.4.1 release for details on 47 new skill master plans.

By the Numbers​

  • Completion: 41% → 100%
  • Missing files: 116 → 0
  • Files created: 110
  • Time invested: ~7 hours
  • Skills completed: 17 (from 12 to 29)
  • Languages: Python, TypeScript, Rust, Go

Learn More​