thewatcher/teddy-ds-svelte-assistant icon
public
Published on 3/4/2025
Teddy.D's Svelte Assistant

Specialized in Svelte development, focusing on reactive programming and efficient DOM manipulation strategies.

Rules
Prompts
Models
Context
voyage Voyage AI rerank-2 model icon

Voyage AI rerank-2

voyage

voyage voyage-code-3 model icon

voyage-code-3

voyage

mistral Codestral model icon

Codestral

mistral

openai o3-mini model icon

o3-mini

OpenAI

200kinput·100koutput
ollama qwen2.5-coder 1.5b model icon

qwen2.5-coder 1.5b

ollama

openai o1 model icon

o1

OpenAI

200kinput·100koutput
openai OpenAI GPT-4o model icon

OpenAI GPT-4o

OpenAI

128kinput·16.384koutput
voyage voyage-code-2 model icon

voyage-code-2

voyage

ollama nomic-embed-text latest model icon

nomic-embed-text latest

ollama

mistral Mistral Large model icon

Mistral Large

mistral

mistral Mistral Embed model icon

Mistral Embed

mistral

ollama deepseek-r1 8b model icon

deepseek-r1 8b

ollama

openai OpenAI GPT-4o Mini model icon

OpenAI GPT-4o Mini

OpenAI

128kinput·16.384koutput
gemini Gemini 2.0 Flash model icon

Gemini 2.0 Flash

gemini

1048kinput·8.192koutput
anthropic Claude 3.7 Sonnet model icon

Claude 3.7 Sonnet

anthropic

200kinput·8.192koutput
anthropic Claude 3.5 Haiku model icon

Claude 3.5 Haiku

anthropic

200kinput·8.192koutput
openai OpenAI text-embedding-3-large model icon

OpenAI text-embedding-3-large

OpenAI

- You are a Svelte developer
- Use SvelteKit for the framework
- Use TailwindCSS for styling
- Use TypeScript
- Use the canonical SvelteKit file structure:
  ```
  src/
    actions/
    components/
    data/
    routes/
    runes/
    styles/
    utils/
You are an experienced data scientist who specializes in Python-based
data science and machine learning. You use the following tools:
- Python 3 as the primary programming language
- PyTorch for deep learning and neural networks
- NumPy for numerical computing and array operations
- Pandas for data manipulation and analysis
- Jupyter for interactive development and visualization
- Conda for environment and package management
- Matplotlib for data visualization and plotting
Svelte CLIhttps://svelte.dev/docs/cli
Sveltehttps://svelte.dev/docs/svelte
SvelteKithttps://svelte.dev/docs/kit
PyTorchhttps://pytorch.org/docs/stable/index.html
Pandashttps://pandas.pydata.org/docs/
NumPyhttps://numpy.org/doc/stable/

Prompts

Learn more
New Component
Create a new Svelte component
Please create a new Svelte component following these guidelines:
- Include JSDoc comments for component and props
- Include basic error handling and loading states
- ALWAYS add a TypeScript prop interface
Review
Review changes
Please view the current git diff, read any Svelte-related files that have changes, and then review them, looking for the following:

- Manual DOM manipulation
- Inline styles

At the end, compile a short report in the following format:
```
## <FILENAME>
- <ISSUE>
...
- <ISSUE>
```

Context

Learn more
@code
Reference specific functions or classes from throughout your project
@docs
Reference the contents from any documentation site
@diff
Reference all of the changes you've made to your current branch
@terminal
Reference the last command you ran in your IDE's terminal and its output
@problems
Get Problems from the current file
@folder
Uses the same retrieval mechanism as @Codebase, but only on a single folder
@codebase
Reference the most relevant snippets from your codebase
@file
Reference any file in your current workspace
@url
Reference the markdown converted contents of a given URL
@currentFile
Reference the currently open file
@repo-map
Reference the outline of your codebase
@os
Reference the architecture and platform of your current operating system
@open
Reference the contents of all of your open files
@greptile
Query a Greptile index of the current repo/branch
@jira
Reference the conversation in a Jira issue
@commit
@clipboard
Reference recent clipboard items

No Data configured

MCP Servers

Learn more

GitHub

npx -y @modelcontextprotocol/server-github

Docker MCP Sequential Thinking

docker run --rm -i mcp/sequentialthinking

Docker MCP Git

docker run --rm -i --mount type=bind,src=${{ secrets.thewatcher/teddy-ds-svelte-assistant/docker/mcp-git/GIT_DIR }},dst=${{ secrets.thewatcher/teddy-ds-svelte-assistant/docker/mcp-git/GIT_DIR }} mcp/git

Filesystem

npx -y @modelcontextprotocol/server-filesystem ${{ secrets.thewatcher/teddy-ds-svelte-assistant/anthropic/filesystem-mcp/PATH }}

Postgres

npx -y @modelcontextprotocol/server-postgres ${{ secrets.thewatcher/teddy-ds-svelte-assistant/anthropic/postgres-mcp/CONNECTION_STRING }}

Brave Search

npx -y @modelcontextprotocol/server-brave-search

Docker MCP Github

docker run -i --rm -e GITHUB_PERSONAL_ACCESS_TOKEN mcp/github

Memory

npx -y @modelcontextprotocol/server-memory

Docker MCP Postgres

docker run -i --rm mcp/postgres ${{ secrets.thewatcher/teddy-ds-svelte-assistant/docker/mcp-postgres/POSTGRES_CONNECTION_STRING }}

Playwright

npx -y @executeautomation/playwright-mcp-server

Docker MCP Slack

docker run -i --rm -e SLACK_BOT_TOKEN -e SLACK_TEAM_ID mcp/slack