Amplifier ideas #25
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- Complete documentation website with enhanced content expansion - Interactive examples with copy-paste ready commands - Progressive difficulty levels (Beginner → Intermediate → Advanced) - Real-world workflows covering all major scenarios: * Feature development with agent orchestration * Systematic debugging and incident response * Knowledge-driven development patterns * Performance optimization strategies * Parallel development approaches - Platform-specific setup guides with troubleshooting - Detailed agent catalog with practical use cases - Fully responsive design with smooth animations - Working interactive features (tabs, collapsible sections, copy buttons) 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
…h content Build comprehensive website generation tool that creates high-quality, paradigm-aware websites from repository analysis. Addresses user requirement: "Ideally it should just work without you having to look at it. So, let's fix the tool to generate the site, not fix the generated site. Ideally the tool should generate a similar site to our rich one." Major achievements: • Enhanced agents.html from 1.8KB to 423KB (235x content increase) • Generated instructor-level rich content with detailed agent descriptions, capabilities, use cases, and examples for all 23 Amplifier agents • Fixed CSS filename linking (amplifier-styles.css vs styles.css) • Complete template coverage for all page sections Components implemented: • Repository analyzer with YAML frontmatter parsing and paradigm detection • Content generator creating revolution sections, progressive setup tiers, rich agent showcases • Jinja2 template engine with custom filters and comprehensive section templates • CSS generator producing 18KB responsive stylesheets from design system config • Configuration system with YAML templates for different project types Generated website features: • index.html (120KB) - Complete homepage with revolution section • agents.html (423KB) - Rich agent showcase with detailed descriptions • setup.html (14KB) - Progressive setup guide • amplifier-styles.css (18KB) - Complete responsive stylesheet • script.js (3KB) - Interactive JavaScript functionality The tool successfully generates professional websites matching and exceeding the quality of manually created instructor site, with automatic paradigm shift detection and content adaptation. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
…ions Add comprehensive ideas management system with natural language goals, per-person assignment queues, and LLM operations. System follows hybrid code/AI architecture with reliable structure and AI intelligence. Core features: - Pydantic models with type-safe data structures - YAML storage with defensive file I/O patterns - Click-based CLI with rich formatting and table output - LLM operations: goal-based reordering, theme detection, similarity analysis - Makefile integration with 15+ make commands (ideas-add, ideas-list, etc) - Natural language slash command (/ideas) for conversational interface - Defensive patterns for cloud sync (OneDrive/Dropbox) resilience - Per-user assignment queues with automatic ranking - Strategic goal management for priority alignment Technical implementation: - Follows amplifier patterns and modular design philosophy - Uses defensive file I/O with retry logic and atomic operations - Mock LLM implementations showing ccsdk_toolkit integration patterns - Rich console output with tables and progress indicators - Comprehensive error handling and user feedback - FileLock for concurrent access protection 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Complete comprehensive technical specification library with all 44 principles: **People (6 specs)** - #1 Small AI-first working groups - #2 Strategic human touchpoints only - #3 Prompt engineering as core skill - microsoft#4 Test-based verification over code review - microsoft#5 Conversation-driven development - microsoft#6 Human escape hatches always available **Process (13 specs)** - microsoft#7 Regenerate, don't edit - microsoft#8 Contract-first everything - microsoft#9 Tests as the quality gate - microsoft#10 Git as safety net - microsoft#11 Continuous validation with fast feedback - microsoft#12 Incremental processing as default - microsoft#13 Parallel exploration by default - microsoft#14 Context management as discipline - microsoft#15 Git-based everything - microsoft#16 Docs define, not describe - microsoft#17 Prompt versioning and testing - microsoft#18 Contract evolution with migration paths - microsoft#19 Cost and token budgeting **Technology (18 specs)** - microsoft#20 Self-modifying AI-first codebase - microsoft#21 Limited and domain-specific by design - microsoft#22 Layered virtualization - microsoft#23 Protected self-healing kernel - microsoft#24 Long-running agent processes - microsoft#25 Simple interfaces by design - microsoft#26 Stateless by default - microsoft#27 Disposable components everywhere - microsoft#28 CLI-first design - microsoft#29 Tool ecosystems as extensions - microsoft#30 Observability baked in - microsoft#31 Idempotency by design (reference) - microsoft#32 Error recovery patterns built in - microsoft#33 Graceful degradation by design - microsoft#34 Feature flags as deployment strategy - microsoft#35 Least-privilege automation - microsoft#36 Dependency pinning and security scanning - microsoft#37 Declarative over imperative **Governance (7 specs)** - microsoft#38 Access control and compliance - microsoft#39 Metrics and evaluation everywhere - microsoft#40 Knowledge stewardship and institutional memory - microsoft#41 Adaptive sandboxing with explicit approvals - microsoft#42 Data governance and privacy controls - microsoft#43 Model lifecycle management - microsoft#44 Self-serve recovery with known-good snapshots Each specification includes: - Plain-language definition - AI-first development rationale - 4-6 implementation approaches - 5 good/bad example pairs with working code - 6 related principles with relationships - 7 common pitfalls with examples - Tools organized by category - 12 actionable checklist items Statistics: - 44 specifications totaling ~10,000+ lines - 220+ good/bad code example pairs - 240+ implementation approaches - 300+ documented anti-patterns - 500+ tools and frameworks - 250+ cross-principle relationships Created through parallel AI agent execution demonstrating Principle microsoft#13 (Parallel Exploration by Default). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
michaeljabbour
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Add comprehensive CLI tool for managing AI-first principle specifications. **Features:** - List principles (with filtering by category/status) - Validate specifications against quality standards - Quality scoring with comprehensive checks - Progress tracking across all specifications - Stub generation for new principles **Tool Commands:** - list: View all principles with filtering - validate: Check specification structure - check-quality: Comprehensive quality scoring - update-progress: Statistics by category - create: Generate new principle stubs **Quality Checks:** - Required sections present - Minimum 5 example pairs - 6+ related principles - 8-12 checklist items - 5-7 common pitfalls - Complete metadata **Documentation:** - tools/README.md: Complete tool guide - Main README updated with Quick Start and usage **Demonstrates Principles:** - microsoft#28 CLI-First Design - microsoft#29 Tool Ecosystems as Extensions - microsoft#25 Simple Interfaces by Design - microsoft#31 Idempotency by Design - microsoft#9 Tests as Quality Gate Provides path for maintaining and expanding the specification library as Amplifier grows. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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