Sharing actions / prompts #2
Replies: 19 comments 7 replies
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Mermaid Entities GraphThis entry generates a graph of entities using Mermaid in order to visualize and help categorize information. Example input text:Tengo varios hojas de excel los identificadores son los siguientes:
La siguiente hoja de excel se llama catalogo y contiene las columnas:
La siguiente hoja contiene información sobre el inventario actual de los artículos y sus localizaciones, las columnas son:
Por ultimo esta la hoja llamada resultados en la que se harán predicciones de inventario que contiene las columnas:
Example output graph:erDiagram
CATALOGO }|..|{ INVENTARIO : has
CATALOGO ||--o{ ARTICULO : contains
ARTICULO ||--o{ LOCALIZACION : "located in"
LOCALIZACION ||--o{ INVENTARIO : "inventory of"
ARTICULO ||--|{ VENTA : sold
VENTA ||--|{ CLIENTE : by
CLIENTE ||--|{ DELIVERY-ADDRESS : receives
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This entry is to generate just plain translation to Portuguese using Qwen2. |
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This entry is to add emoji according to the text. |
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This entry will format your bibliographical references using BibTeX. |
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Name: Format Text ✂️ Name: Translate to Russian ✂️ Name: Task into Subtasks ✂️ |
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Name: 🧙♂️Creative writing (HP) ✂️ |
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Code review: Name: ⌨️ Code Help |
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I run the following over journal entries where I describe all high points and low points throughout my day. It can be particularly helpful to get some ideas for resolving conflicts or challenge of my day. |
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This prompt configures a Markdown formatting assistant to enhance text by applying best practices (e.g., headings, lists, code blocks, and blockquotes) while preserving the original content and language. |
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Rewrites given input more concisely. Rewrites the opposite of given input. Rewrites the input more verbosely. Rewrite the input modularly. Meant for code but might be usable for natural language or math. Obfuscate code or any given input. Rewrites input more clearly. Rewrites the input more eloquently. Same as Unobfuscatify, but more pretentious. |
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can we use any article in obsidian as reference input for the prompt? |
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Convert markdown to latex equationsThis prompt will convert the selected markdown ( I'm using ollama with version: "3.8"
services:
ollama:
image: ollama/ollama
container_name: ollama
ports:
- "11434:11434"
volumes:
- ./data:/root/.ollama
restart: unless-stopped
entrypoint: ["/bin/bash", "-c", "\
ollama serve & \
sleep 5 && \
ollama pull hf.co/unsloth/gemma-3n-E2B-it-GGUF:Q4_K_M && \
wait"]
hollama:
image: ghcr.io/fmaclen/hollama:latest
container_name: hollama
ports:
- "4173:4173"
restart: unless-stoppedPrompt: |
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MINHA LISTA DE AÇÕES Name: 🎓Formatar ✂️ Intrução 2: Caso a flag possua parâmetro e estejam entre < > substitua-os por { }. Instrução 3: Formate/altere o texto na linguagem Markdown colocando a flag em Titulo 3(###), em seguida sua descrição. Instrução 4: caso na descrição haja à citação de uma flag coloque a flag citada entre '`' {{=SELECTION=}} ✂️ Name: 🍭 Retirar quebra de linha ✂️ Name: 📏Retirar identação ✂️ Name: 📖Tradução ✂️ ✂️ Não Traduza os Títulos em markdown. Name: 🧠Exemplos Parametros ✂️ |
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Here's a Quick Add Action to automatically convert your notes into the most applicable mermaid diagram / graph. Examples: 🧩 Flowchart flowchart TD
Start([User input text]) --> Parse[Extract entities and relationships]
Parse --> Decide{Choose diagram type}
Decide -->|Flow or process| Flowchart[Build flowchart]
Decide -->|Data model| ERD[Build ER diagram]
Decide -->|Timeline| Sequence[Build sequence diagram]
Flowchart --> Output[Return Mermaid code]
ERD --> Output
Sequence --> Output
📡 Sequence Diagram sequenceDiagram
actor User
participant Plugin as Obsidian Plugin
participant LLM as LocalGPT
participant Renderer as Mermaid Engine
User->>Plugin: Select "Create Mermaid"
Plugin->>LLM: Send selected text and prompt
LLM-->>Plugin: Mermaid diagram code
Plugin->>Renderer: Render Mermaid code
Renderer-->>User: Display diagram in note
🏷️ Class Diagram classDiagram
class MermaidGenerator {
+generate(text): string
+detectDiagramType(text): string
+validateSyntax(code): bool
}
class Diagram {
+type: string
+code: string
+description: string
}
class FlowchartDiagram {
+nodes: list
+edges: list
}
MermaidGenerator --> Diagram : creates
Diagram <|-- FlowchartDiagram
🗃️ ER Diagram erDiagram
TEXT-SNIPPET ||--o{ ENTITY : contains
ENTITY ||--o{ RELATIONSHIP : participates_in
DIAGRAM ||--o{ ENTITY : represents
DIAGRAM {
string id
string type
}
ENTITY {
string name
string role
}
RELATIONSHIP {
string label
string direction
}
🔀 State Diagram stateDiagram-v2
[*] --> Idle
Idle --> Analyzing : text selected
Analyzing --> ChoosingType : infer structure
ChoosingType --> Generating : build Mermaid code
Generating --> Validating : check syntax
Validating --> Success : valid
Validating --> Error : invalid
Success --> [*]
Error --> Analyzing : retry
🧠 Mindmap mindmap
root((Mermaid Diagram Generator))
Inputs
Raw text
User prompt
Processing
Detect entities
Infer relationships
Choose diagram type
Diagram Types
Flowchart
Sequence
Class
ERD
State
Mind_map
Outputs
Mermaid code
Rendered diagram
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Share your actions and tell in which tasks they are better than default ones.
Suggestions for the structure
Describe what's action purpose and provide an example of use case.
Attach an image how it looks in Obsidian.
Paste your action in code block,
To get your action in right shareable format just click the copy button next to the prompt.
Check the example: #2 (comment)
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