refactor: standardize data schemas, rename tools_compatible to compatible_tools, and introduce shared configuration files for tags, categories, and providers.

Author: IrvanFza

src/data/models/claude-3-5-sonnet.yaml

@@ -1,18 +1,18 @@
-name: "Claude 3.5 Sonnet"
-slug: "claude-3-5-sonnet"
-provider: "Anthropic"
-description: "Best-in-class coding model with strong zero-shot accuracy and exceptional reasoning for complex refactors."
+name: Claude 3.5 Sonnet
+slug: claude-3-5-sonnet
+provider: anthropic
+description: Best-in-class coding model with strong zero-shot accuracy and exceptional reasoning for complex refactors.
 context_window: 200000
 strengths:
-  - "Exceptional zero-shot code generation"
-  - "Strong reasoning for complex refactors"
-  - "Large 200K context window"
-  - "Excellent instruction following"
+  - Exceptional zero-shot code generation
+  - Strong reasoning for complex refactors
+  - Large 200K context window
+  - Excellent instruction following
 weaknesses:
-  - "Higher latency than smaller models"
-  - "Rate limits can frustrate power users"
+  - Higher latency than smaller models
+  - Rate limits can frustrate power users
 vibe_coding_score: 9.2
 model_type: closed_source
 plans_available:
   - claude-pro
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'

src/data/models/claude-3-haiku.yaml

@@ -1,17 +1,17 @@
-name: "Claude 3 Haiku"
-slug: "claude-3-haiku"
-provider: "Anthropic"
-description: "Fastest and most compact Claude model, ideal for quick code completions and lightweight coding tasks."
+name: Claude 3 Haiku
+slug: claude-3-haiku
+provider: anthropic
+description: Fastest and most compact Claude model, ideal for quick code completions and lightweight coding tasks.
 context_window: 200000
 strengths:
-  - "Extremely fast response times"
-  - "Low cost per token"
-  - "Good for simple coding tasks"
+  - Extremely fast response times
+  - Low cost per token
+  - Good for simple coding tasks
 weaknesses:
-  - "Less capable for complex reasoning"
-  - "Lower accuracy on multi-step tasks"
+  - Less capable for complex reasoning
+  - Lower accuracy on multi-step tasks
 vibe_coding_score: 6.5
 model_type: closed_source
 plans_available:
   - claude-pro
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'

src/data/models/claude-3-opus.yaml

@@ -1,17 +1,17 @@
-name: "Claude 3 Opus"
-slug: "claude-3-opus"
-provider: "Anthropic"
-description: "Most capable Claude model for complex analysis, math, and coding tasks requiring deep reasoning."
+name: Claude 3 Opus
+slug: claude-3-opus
+provider: anthropic
+description: Most capable Claude model for complex analysis, math, and coding tasks requiring deep reasoning.
 context_window: 200000
 strengths:
-  - "Strongest reasoning capability in Claude family"
-  - "Excellent at complex multi-step coding"
-  - "Superior instruction following"
+  - Strongest reasoning capability in Claude family
+  - Excellent at complex multi-step coding
+  - Superior instruction following
 weaknesses:
-  - "Slower response times"
-  - "Higher cost per token via API"
+  - Slower response times
+  - Higher cost per token via API
 vibe_coding_score: 8.8
 model_type: closed_source
 plans_available:
   - claude-pro
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'

src/data/models/deepseek-v3.yaml

@@ -1,18 +1,18 @@
-name: "DeepSeek V3"
-slug: "deepseek-v3"
-provider: "DeepSeek"
-description: "Open-weight model with excellent coding capabilities and competitive performance at a fraction of the cost."
+name: DeepSeek V3
+slug: deepseek-v3
+provider: deepseek
+description: Open-weight model with excellent coding capabilities and competitive performance at a fraction of the cost.
 context_window: 128000
 strengths:
-  - "Open-weight and self-hostable"
-  - "Strong code generation"
-  - "Very cost-effective"
-  - "Competitive with closed-source models"
+  - Open-weight and self-hostable
+  - Strong code generation
+  - Very cost-effective
+  - Competitive with closed-source models
 weaknesses:
-  - "Occasional rate limiting on API"
-  - "Less polished instruction following"
+  - Occasional rate limiting on API
+  - Less polished instruction following
 vibe_coding_score: 8.3
 model_type: open_weight
 plans_available:
   - synthetic-pack
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'

src/data/models/gemini-3-1-flash.yaml

@@ -1,19 +1,19 @@
-name: "Gemini 3.1 Flash"
-slug: "gemini-3-1-flash"
-provider: "Google"
-description: "Google's fast and efficient Gemini model optimized for speed with good coding capabilities at a lower cost."
+name: Gemini 3.1 Flash
+slug: gemini-3-1-flash
+provider: google
+description: Google's fast and efficient Gemini model optimized for speed with good coding capabilities at a lower cost.
 context_window: 1000000
 strengths:
-  - "Very fast response times"
-  - "1M token context window"
-  - "Cost efficient"
-  - "Good for quick code tasks"
+  - Very fast response times
+  - 1M token context window
+  - Cost efficient
+  - Good for quick code tasks
 weaknesses:
-  - "Less capable than Pro for complex tasks"
-  - "Occasional accuracy trade-offs"
+  - Less capable than Pro for complex tasks
+  - Occasional accuracy trade-offs
 vibe_coding_score: 7.5
 model_type: closed_source
 plans_available:
   - google-developer-program
   - google-ai-pro
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'

src/data/models/gemini-3-1-pro.yaml

@@ -1,18 +1,18 @@
-name: "Gemini 3.1 Pro"
-slug: "gemini-3-1-pro"
-provider: "Google"
-description: "Google's most capable Gemini model with extended context and strong coding performance for complex projects."
+name: Gemini 3.1 Pro
+slug: gemini-3-1-pro
+provider: google
+description: Google's most capable Gemini model with extended context and strong coding performance for complex projects.
 context_window: 2000000
 strengths:
-  - "Massive 2M token context window"
-  - "Strong multi-step reasoning"
-  - "Excellent full-project generation"
-  - "Google ecosystem integration"
+  - Massive 2M token context window
+  - Strong multi-step reasoning
+  - Excellent full-project generation
+  - Google ecosystem integration
 weaknesses:
-  - "Higher latency for long contexts"
-  - "Occasional formatting issues"
+  - Higher latency for long contexts
+  - Occasional formatting issues
 vibe_coding_score: 8.7
 model_type: closed_source
 plans_available:
   - google-ai-pro
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'

src/data/models/glm-5.yaml

@@ -1,19 +1,19 @@
-name: "GLM-5"
-slug: "glm-5"
-provider: "Zhipu AI"
-description: "Zhipu AI's latest generation language model with strong coding and reasoning capabilities."
+name: GLM-5
+slug: glm-5
+provider: zhipu-ai
+description: Zhipu AI's latest generation language model with strong coding and reasoning capabilities.
 context_window: 128000
 strengths:
-  - "Strong coding capabilities"
-  - "Good multilingual support"
-  - "Competitive pricing"
+  - Strong coding capabilities
+  - Good multilingual support
+  - Competitive pricing
 weaknesses:
-  - "Less community adoption outside China"
-  - "Limited English-language benchmarks"
+  - Less community adoption outside China
+  - Limited English-language benchmarks
 vibe_coding_score: 7.2
 model_type: open_weight
 plans_available:
   - alibaba
   - zai-glm-coding-plan-pro
   - edlide-pro
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'

src/data/models/gpt-4-turbo.yaml

@@ -1,17 +1,17 @@
-name: "GPT-4 Turbo"
-slug: "gpt-4-turbo"
-provider: "OpenAI"
-description: "High-capability OpenAI model with 128K context window, optimized for speed and cost efficiency."
+name: GPT-4 Turbo
+slug: gpt-4-turbo
+provider: openai
+description: High-capability OpenAI model with 128K context window, optimized for speed and cost efficiency.
 context_window: 128000
 strengths:
-  - "Large 128K context window"
-  - "Good balance of speed and quality"
-  - "Strong code understanding"
+  - Large 128K context window
+  - Good balance of speed and quality
+  - Strong code understanding
 weaknesses:
-  - "Superseded by GPT-4o in most tasks"
-  - "Higher latency than GPT-4o-mini"
+  - Superseded by GPT-4o in most tasks
+  - Higher latency than GPT-4o-mini
 vibe_coding_score: 7.8
 model_type: closed_source
 plans_available:
   - chatgpt-plus-free
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'

src/data/models/gpt-4o.yaml

@@ -1,16 +1,16 @@
-name: "GPT-4o"
-slug: "gpt-4o"
-provider: "OpenAI"
-description: "OpenAI's flagship multimodal model with strong coding capabilities and fast response times."
+name: GPT-4o
+slug: gpt-4o
+provider: openai
+description: OpenAI's flagship multimodal model with strong coding capabilities and fast response times.
 context_window: 128000
 strengths:
-  - "Multimodal (text, image, audio)"
-  - "Fast response times"
-  - "Strong code generation"
-  - "Good at following complex instructions"
+  - Multimodal (text, image, audio)
+  - Fast response times
+  - Strong code generation
+  - Good at following complex instructions
 weaknesses:
-  - "Occasionally verbose in output"
-  - "Can hallucinate API details"
+  - Occasionally verbose in output
+  - Can hallucinate API details
 vibe_coding_score: 8.5
 model_type: closed_source
 plans_available:
@@ -19,4 +19,4 @@ plans_available:
   - github-copilot-pro
   - windsurf-pro
   - windsurf-free
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'

src/data/models/kimi-k2-5.yaml

@@ -1,19 +1,19 @@
-name: "Kimi K2.5"
-slug: "kimi-k2-5"
-provider: "Moonshot AI"
-description: "Moonshot AI's coding-focused model with strong context understanding and multi-step task execution."
+name: Kimi K2.5
+slug: kimi-k2-5
+provider: moonshot-ai
+description: Moonshot AI's coding-focused model with strong context understanding and multi-step task execution.
 context_window: 200000
 strengths:
-  - "Long context support"
-  - "Good at multi-step tasks"
-  - "Competitive coding performance"
+  - Long context support
+  - Good at multi-step tasks
+  - Competitive coding performance
 weaknesses:
-  - "Smaller ecosystem compared to GPT/Claude"
-  - "Limited IDE integrations"
-vibe_coding_score: 7.0
+  - Smaller ecosystem compared to GPT/Claude
+  - Limited IDE integrations
+vibe_coding_score: 7
 model_type: open_weight
 plans_available:
   - kimi
   - opencode-go
   - alibaba
-updated_at: "2026-04-07"
+updated_at: '2026-04-07'