📝 docs: Update metadata and refresh README templates

.github/workflows/update_views.yml

@@ -7,11 +7,11 @@ on:
       - "prompts/**/*.md"
       - "prompts/prompt.md"
       - "src/**/*.ts"
-      - "system_prompts/**/*.md"
-      - "templates/*.md"
+      - "src/system_prompts/**/*.md"
+      - "src/templates/*.md"
 
 jobs:
-  update_views:
+  update_views:v
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
@@ -20,7 +20,7 @@ jobs:
 
       - name: Validate critical files
         run: |
-          if [ ! -f "system_prompts/ai_prompt_analyzer_and_output_generator/prompt.md" ]; then
+          if [ ! -f "src/system_prompts/prompt_analysis_agent/prompt.md" ]; then
             echo "Error: AI prompt analyzer file is missing"
             exit 1
           fi
@@ -58,7 +58,7 @@ jobs:
       - name: Check for system prompt changes
         id: check_changes
         run: |
-          if git diff --name-only HEAD^ HEAD | grep -q ".github/prompts/ai_prompt_analyzer_and_output_generator/"; then
+          if git diff --name-only HEAD^ HEAD | grep -q "src/system_prompts/prompt_analysis_agent/"; then
             echo "FORCE_REGENERATE=true" >> $GITHUB_ENV
           else
             echo "FORCE_REGENERATE=false" >> $GITHUB_ENV

.gitignore

@@ -1,3 +1,11 @@
+# Ignore environment config
 .env
+
+# Ignore specific directories
+dist/
 node_modules/
-dist/
+archive/
+
+# Ignore local temporary files
+z_diff_output.txt
+z_dir2prompt_output.txt

.promptignore

@@ -0,0 +1,23 @@
+# Ignore all README.md files in subdirectories
+**/README.md
+
+# Include the main README.md in the root directory
+!/README.md
+
+# Include the .github directory (e.g., for workflows)
+!.github/
+
+# Ignore environment config and lock file
+.env
+package-lock.json
+
+# Ignore specific directories
+dist/
+node_modules/
+archive/
+fragments/
+prompts/
+
+# Ignore local temporary files
+z_diff_output.txt
+z_dir2prompt_output.txt

README.md

@@ -1,34 +1,47 @@
 # 📚 Prompt Library
 
+> ### 🚧 **Project Under Active Development** 🚧
+> 
+> **Note:** This project is new and undergoing rapid development. You may encounter bugs or frequent changes. We appreciate your patience and encourage you to:
+> - Report any issues you encounter
+> - Check for updates regularly
+> - Contribute ideas or improvements
+> 
+> Your feedback is valuable in shaping this project. Thank you for your interest and support!
+
 Welcome to the **Prompt Library**. This repository contains a collection of AI prompts categorized for easy navigation and reuse.
 
 ## 🗂️ Categories
 
 ### Artificial Intelligence And Machine Learning
 
-- [AI Concept Generator for Specialized Assistants](prompts/ai_concept_generator_specialized_assistants/view.md) - Generates innovative and feasible AI assistant concepts for specific topics
+- [AI Concept Creator](prompts/ai_concept_agent/README.md) - Generates innovative and feasible AI assistant concepts for specific topics
 
 ### Code Quality And Best Practices
 
-- [Divine Code Refactoring Expert](prompts/divine_code_refactoring_expert/view.md) - Analyzes, refactors, and validates code to enhance quality, readability, and performance
-- [Software Development Pull Request Generator](prompts/software_development_pull_request_generator/view.md) - Generates comprehensive pull requests for software development projects
+- [Divine Code Refactoring Agent](prompts/code_refactoring_agent/README.md) - Analyzes, refactors, and validates code to improve quality, readability, and performance
 
 ### Documentation
 
-- [Software Specification Creator](prompts/software_specification_creator/view.md) - Creates detailed software specification documents through interactive requirement gathering
+- [Software Specification Creator](prompts/software_spec_agent/README.md) - Generates detailed software specification documents through interactive requirement analysis
 
 ### Project Management
 
-- [GitHub Issue Creation Expert](prompts/github_issue_creation_expert/view.md) - Creates optimized GitHub issues considering code context, project history, and team dynamics
+- [GitHub Issue Creation Expert](prompts/github_issue_agent/README.md) - Creates comprehensive, optimized GitHub issues based on context and team dynamics
 
 ### Prompt Engineering
 
-- [Prompt Engineering God](prompts/prompt_engineering_god/view.md) - Crafts divine-tier prompts for optimal AI performance across various domains
+- [Prompt Engineering God](prompts/prompt_engineering_agent/README.md) - Creates and refines optimized prompts for AI models across various domains
+
+### Software Testing
+
+- [Elite AI Coding Assistant](prompts/coding_assistant_agent/README.md) - Assists in software development tasks across multiple programming languages and paradigms
 
 ### Version Control
 
-- [Git Branch Name Generator](prompts/git_branch_name_generator/view.md) - Generates optimal git branch names based on project context and requirements
-- [Git Commit Message Generator](prompts/git_commit_message_generator/view.md) - Generates optimized git commit messages following Conventional Commits specification
+- [Git Commit Message Generator](prompts/git_commit_message_agent/README.md) - Generates optimized git commit messages following Conventional Commits specification
+- [Software Development Pull Request Generator](prompts/software_dev_pr_agent/README.md) - Generates comprehensive pull requests for software projects based on provided context
+- [Git Branch Name Generator](prompts/git_branch_name_agent/README.md) - Generates optimal git branch names based on project context and development workflow
 
 ## 🚀 Getting Started
 
@@ -47,36 +60,59 @@ This repository is designed to be easily forked and customized for your own use.
    - Navigate to "Secrets and variables" > "Actions".
    - Create a new repository secret named `ANTHROPIC_API_KEY` and paste your Anthropic API key as the value.
 
-4. **Add Your Own Prompts**:
+4. **Install Dependencies**:
+   - Ensure you have Node.js installed (version 22 or later recommended).
+   - Run `npm install` to install the project dependencies.
+
+5. **Add Your Own Prompts**:
    - Create a new file in the `prompts` directory named `prompt.md`.
    - Write your prompt content in this file.
    - Commit and push your changes to GitHub.
 
-5. **Let GitHub Actions Work**:
+6. **Let GitHub Actions Work**:
    - The GitHub Actions workflow will automatically generate metadata for your new prompt.
-   - It will create a new directory for your prompt, move the `prompt.md` file into it, and create `metadata.yml` and `view.md` files.
-   - The README will be automatically updated to include your new prompt.
+   - It will create a new directory for your prompt, move the `prompt.md` file into it, and create `metadata.yml` and `README.md` files.
+   - The main README will be automatically updated to include your new prompt.
+
+7. **Run Locally**:
+   - Use `npm run generate-metadata` to generate metadata for your prompts.
+   - Use `npm run update-views` to update the README files.
 
-6. **Customize as Needed**:
-   - You can modify the templates in the `.github/templates` directory to change how prompts are displayed.
-   - Update the scripts in `.github/scripts` to alter the metadata generation or view update process.
+8. **Customize as Needed**:
+   - Modify the templates in the `src/templates` directory to change how prompts are displayed.
+   - Update the scripts in `src/core` to alter the metadata generation or view update process.
 
 ## 🛠️ How It Works
 
 - When you add or update a `prompt.md` file in the `prompts` directory, GitHub Actions are triggered.
-- The `generate_metadata.py` script uses the Anthropic API to analyze your prompt and generate metadata.
-- The `update_views.py` script creates or updates the `view.md` files for each prompt and updates the main README.
+- The `generate_metadata.ts` script uses the Anthropic API to analyze your prompt and generate metadata.
+- The `update_views.ts` script creates or updates the `README.md` files for each prompt and updates the main README.
 - All changes are automatically committed back to the repository.
 
 ## 🔧 Customizing Metadata Extraction
 
 The system prompt used to extract metadata from your prompts can be customized. This prompt is located at:
 
-```
-.github/prompts/ai_prompt_analyzer_and_output_generator/prompt.md
-```
+[`src/system_prompts/prompt_analysis_agent/prompt.md`](src/system_prompts/prompt_analysis_agent/prompt.md)
+
+To customize the metadata extraction process:
+
+1. Open the `prompt.md` file in your preferred text editor.
+2. Review the existing prompt structure, which includes sections like `<system_role>`, `<task>`, `<input_parameters>`, `<instructions>`, and `<output>`.
+3. Modify the content within these sections to adjust the behavior of the metadata extraction process. For example:
+   - Update the `<instructions>` section to change how categories are assigned.
+   - Modify the `<output>` section to alter the structure of the generated metadata.
+4. Save your changes to the file.
+
+After modifying the prompt:
+
+- Run `npm run generate-metadata` locally to test your changes.
+- Review the generated metadata files to ensure the output meets your expectations.
+- If satisfied, commit and push your changes to trigger the GitHub Actions workflow.
+
+This customization allows you to tailor the metadata generation process to your specific needs or to extract additional information from your prompts. Remember that changes to this file will affect all future metadata generations, so test thoroughly before committing.
 
-You can modify this file to change how metadata is extracted from your prompts. This allows you to tailor the metadata generation process to your specific needs or to extract additional information from your prompts.
+> **Note**: The `generate_metadata.ts` script in `src/core/` uses this prompt file when interacting with the Anthropic API. If you make significant changes to the prompt structure, you may need to update the script as well.
 
 ## 📝 Contributing
 

jest.config.js

@@ -4,7 +4,8 @@ module.exports = {
     testMatch: ['**/tests/**/*.test.ts'],
     moduleNameMapper: {
         '^@config(.*)$': '<rootDir>/src/config$1',
-        '^@types/(.*)$': '<rootDir>/src/types/$1',
+        '^@core/(.*)$': '<rootDir>/src/core/$1',
+        '^@types(.*)$': '<rootDir>/src/types$1',
         '^@utils/(.*)$': '<rootDir>/src/utils/$1'
     }
 };

package.json

@@ -24,7 +24,6 @@
         "prompt-library",
         "ai-prompts",
         "metadata-generation",
-        "view-generation",
         "anthropic-api",
         "yaml-processing",
         "automation",

prompts/ai_concept_generator_specialized_assistants/view.md → prompts/ai_concept_agent/README.md

@@ -1,12 +1,12 @@
-# AI Concept Generator for Specialized Assistants
+# AI Concept Creator
 
 ### ✏️ One-line Description
 
 **Generates innovative and feasible AI assistant concepts for specific topics**
 
 ### 📄 Description
 
-This prompt tasks an AI to create exceptional yet practical concepts for specialized AI assistants. It encourages creativity while ensuring feasibility, focusing on core competencies and transformative abilities within a given topic.
+This prompt engineers a creative AI system that conceptualizes novel, yet practical AI assistants for given topics. It focuses on generating groundbreaking ideas while ensuring feasibility, ethical considerations, and maximum potential impact.
 
 ### 🔧 Variables
 
@@ -55,8 +55,8 @@ Now, based on the topic {{TOPIC}}, generate a groundbreaking yet feasible AI ass
 
 ### 🔖 Tags
 
-- ai_concepts
-- creativity
+- ai_ideation
+- creative_thinking
 - innovation
 - specialized_assistants
 - prompt_engineering
@@ -67,4 +67,4 @@ Primary Category: artificial_intelligence_and_machine_learning
 Subcategories:
 
 - concept_generation
-- specialized_ai_assistants
+- specialized_assistants

prompts/ai_concept_agent/metadata.yml

@@ -0,0 +1,21 @@
+content_hash: 46fdf466b661c338e49f3d34c07c2bc1
+description: >-
+  This prompt engineers a creative AI system that conceptualizes novel, yet
+  practical AI assistants for given topics. It focuses on generating
+  groundbreaking ideas while ensuring feasibility, ethical considerations, and
+  maximum potential impact.
+directory: ai_concept_agent
+one_line_description: Generates innovative and feasible AI assistant concepts for specific topics
+primary_category: artificial_intelligence_and_machine_learning
+subcategories:
+  - concept_generation
+  - specialized_assistants
+tags:
+  - ai_ideation
+  - creative_thinking
+  - innovation
+  - specialized_assistants
+  - prompt_engineering
+title: AI Concept Creator
+variables:
+  - '{{TOPIC}}'

prompts/divine_code_refactoring_expert/view.md → prompts/code_refactoring_agent/README.md

@@ -1,12 +1,12 @@
-# Divine Code Refactoring Expert
+# Divine Code Refactoring Agent
 
 ### ✏️ One-line Description
 
-**Analyzes, refactors, and validates code to enhance quality, readability, and performance**
+**Analyzes, refactors, and validates code to improve quality, readability, and performance**
 
 ### 📄 Description
 
-This prompt creates an AI expert that analyzes codebases, infers the programming language, and performs comprehensive refactoring. It optimizes code quality, readability, and performance while preserving core functionality, followed by testing and validation.
+This prompt creates an AI agent that analyzes code, infers the programming language, and performs comprehensive refactoring. It optimizes code quality, readability, and performance while preserving core functionality, and includes testing and validation steps.
 
 ### 🔧 Variables
 
@@ -126,8 +126,8 @@ Now, proceed with the refactoring task, ensuring you provide detailed explanatio
 
 ### 🔖 Tags
 
-- code_analysis
 - refactoring
+- code_analysis
 - optimization
 - language_inference
 - testing
@@ -137,5 +137,5 @@ Now, proceed with the refactoring task, ensuring you provide detailed explanatio
 Primary Category: code_quality_and_best_practices
 Subcategories:
 
-- refactoring
-- performance_optimization
+- code_refactoring
+- programming_languages

prompts/code_refactoring_agent/metadata.yml

@@ -0,0 +1,24 @@
+content_hash: 0a5d4183b3ff1952e48d7998acb1ac02
+description: >-
+  This prompt creates an AI agent that analyzes code, infers the programming
+  language, and performs comprehensive refactoring. It optimizes code quality,
+  readability, and performance while preserving core functionality, and includes
+  testing and validation steps.
+directory: code_refactoring_agent
+one_line_description: >-
+  Analyzes, refactors, and validates code to improve quality, readability, and
+  performance
+primary_category: code_quality_and_best_practices
+subcategories:
+  - code_refactoring
+  - programming_languages
+tags:
+  - refactoring
+  - code_analysis
+  - optimization
+  - language_inference
+  - testing
+title: Divine Code Refactoring Agent
+variables:
+  - '{{REFACTOR_SCOPE}}'
+  - '{{CODEBASE}}'