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+# ============================================================================
+# RECIPE METADATA
+# ============================================================================
+# Test Coverage Optimizer - An intermediate recipe that uses Developer and
+# Memory extensions to analyze test coverage patterns, learn from existing
+# tests, and generate intelligent test suggestions that improve over time.
+
+version: 1.0.0
+
+title: Test Coverage Optimizer
+
+description: |
+  Analyzes test coverage patterns, learns from existing tests, and generates
+  targeted test suggestions to improve coverage systematically. Uses memory
+  to learn testing patterns and improve suggestions over time.
+
+author:
+  contact: shiv669
+
+
+# ============================================================================
+# ACTIVITIES - User-Facing Workflow Steps
+# ============================================================================
+# These describe what the user will experience during recipe execution
+
+activities:
+  - Scan project test files and coverage metrics
+  - Analyze existing test patterns and methodologies
+  - Retrieve learned testing patterns from memory
+  - Identify critical code gaps and missing test coverage
+  - Generate targeted, practical test suggestions based on learned patterns
+  - Create test file templates with concrete examples
+  - Store new patterns for continuous improvement
+
+
+# ============================================================================
+# INSTRUCTIONS - Role and Capabilities
+# ============================================================================
+# explains the role and key capabilities
+
+instructions: |
+  You are a Test Coverage Optimization Specialist that helps development teams
+  improve test coverage systematically and intelligently.
+  
+  Your goal is to analyze existing test patterns, identify critical gaps,
+  and suggest high-impact new tests that developers can implement immediately.
+  
+  Key capabilities you possess:
+  - Scan codebases for test files across multiple frameworks (pytest, jest, unittest, go-test)
+  - Analyze existing test patterns and methodologies to understand team practices
+  - Identify code paths that lack test coverage using static analysis
+  - Remember and learn from previous testing patterns and improvements
+  - Generate practical, ready-to-use test code with explanations
+  - Track and improve suggestions based on feedback and patterns
+  - Create customizable test templates that match team coding standards
+  
+  IMPORTANT: Always start by checking Memory for any saved testing patterns,
+  team preferences, and previous coverage analysis for this project.
+  This ensures your suggestions improve over time and match team standards.
+
+
+# ============================================================================
+# PARAMETERS - User Configuration Options
+# ============================================================================
+# These are the inputs users can provide to customize recipe behavior
+
+parameters:
+  # Parameter 1: Project location
+  - key: project_path
+    input_type: string
+    requirement: optional
+    default: "."
+    description: "Path to project root directory (where source code is located)"
+  
+  # Parameter 2: Testing framework selection
+  - key: test_framework
+    input_type: string
+    requirement: optional
+    default: "auto"
+    description: "Testing framework to target: 'jest' (JavaScript), 'pytest' (Python), 'unittest' (Python), 'go-test' (Go), or 'auto' for auto-detection"
+  
+  # Parameter 3: Coverage target
+  - key: coverage_threshold
+    input_type: string
+    requirement: optional
+    default: "80"
+    description: "Target coverage percentage (0-100). Used to identify gap size and prioritize tests."
+  
+  # Parameter 4: Focus areas for analysis
+  - key: focus_areas
+    input_type: string
+    requirement: optional
+    default: "all"
+    description: "Comma-separated focus areas: 'core-logic' (primary business logic), 'edge-cases' (boundary conditions), 'error-handling' (exceptions), 'integration' (API/module interactions), or 'all' for comprehensive analysis"
+  
+  # Parameter 5: Template generation toggle
+  - key: generate_templates
+    input_type: string
+    requirement: optional
+    default: "true"
+    description: "Whether to generate test file templates with examples (true/false). Set to false if you only want suggestions without code templates."
+
+
+# ============================================================================
+# EXTENSIONS - AI Tools Working Together
+# ============================================================================
+# Exactly 2 extensions that integrate sequentially for intermediate recipe
+
+extensions:
+  # Extension 1: Memory - Context and pattern storage (runs first)
+  - type: builtin
+    name: memory
+    display_name: Memory
+    timeout: 300
+    bundled: true
+    description: |
+      Stores and retrieves learned testing patterns, previous coverage analysis,
+      and team preferences. Allows the recipe to improve suggestions over time
+      by remembering what worked well in past runs.
+  
+  # Extension 2: Developer - Code analysis and generation (uses Memory's context)
+  - type: builtin
+    name: developer
+    display_name: Developer
+    timeout: 600
+    bundled: true
+    description: |
+      Scans test files, analyzes coverage metrics, identifies code gaps,
+      and generates new test code based on analysis and learned patterns
+      from Memory. This is the primary tool for all file and code operations.
+
+
+# ============================================================================
+# PROMPT - Detailed Workflow with Extension Integration
+# ============================================================================
+# Step-by-step instructions showing how Memory and Developer extensions work together
+
+prompt: |
+  You are analyzing test coverage for the project at {{ project_path }} to generate
+  intelligent test suggestions that improve coverage to {{ coverage_threshold }}%.
+  
+  # =========================================================================
+  # STEP 1: LOAD CONTEXT FROM MEMORY
+  # =========================================================================
+  # Purpose: Retrieve previously learned patterns to inform current analysis
+  # Extension: Memory (loads first)
+  
+  Step 1: Load Testing Patterns from Memory
+    First, retrieve any previously learned testing patterns for this project:
+    - Retrieve key "{{ project_path }}_testing_style" - the team's preferred test structure
+    - Retrieve key "{{ project_path }}_gap_patterns" - common gap patterns from past analysis
+    - Retrieve key "{{ project_path }}_preferred_frameworks" - frameworks the team uses
+    - Retrieve key "testing_best_practices" - general testing best practices library
+    
+    If this is your first time analyzing this project, you'll start fresh
+    and build up knowledge over time. Store any retrieved patterns in your
+    context for use in the generation steps below.
+  
+  
+  # =========================================================================
+  # STEP 2: DETECT TEST FRAMEWORK
+  # =========================================================================
+  # Purpose: Identify which testing framework is used in this project
+  # Extension: Developer (file scanning)
+  
+  Step 2: Detect Testing Framework
+    {% if test_framework == "auto" %}
+    Since test_framework is set to 'auto', detect the framework automatically:
+      a) Search for test file patterns in {{ project_path }}:
+         - .test.js, .spec.js, __tests__/*.js files → JavaScript/Jest
+         - _test.py, test_*.py, tests/*.py files → Python/pytest or unittest
+         - *_test.go, *_test.go files → Go/go-test
+         - *.test.ts, *.spec.ts files → TypeScript/Jest
+      
+      b) Check for configuration files:
+         - package.json with "jest" dependency → Jest
+         - pytest.ini, setup.cfg, pyproject.toml → pytest
+         - go.mod → go test
+         - unittest imports in test files → Python unittest
+      
+      c) Report the detected framework with confidence level
+         Example: "Detected: pytest (high confidence - found pytest.ini)"
+    {% else %}
+    Use the specified framework: {{ test_framework }}
+    Verify that test files for {{ test_framework }} exist in {{ project_path }}
+    If no test files found, suggest creating a basic test structure for {{ test_framework }}
+    {% endif %}
+  
+  
+  # =========================================================================
+  # STEP 3: ANALYZE CURRENT TEST COVERAGE
+  # =========================================================================
+  # Purpose: Understand current state and identify coverage gaps
+  # Extension: Developer (code scanning and analysis)
+  
+  Step 3: Analyze Current Test Coverage
+    Scan the project at {{ project_path }} for test coverage information:
+    
+    a) Test File Inventory:
+       - Find all test files matching the detected/specified framework
+       - Count total number of test files and individual test cases
+       - Calculate ratio: lines of test code vs lines of application code
+       - List the main test directories found
+    
+    b) Coverage Data Collection:
+       - Look for coverage reports in common locations:
+         * Python: .coverage, coverage.xml, htmlcov/, .coverage.*
+         * JavaScript: coverage/, coverage.json, coverage-final.json
+         * Go: coverage.out, coverage.html
+       - If coverage reports exist, parse them to get:
+         * Overall coverage percentage
+         * Per-file coverage breakdown
+         * Uncovered line numbers
+       - If NO coverage reports found:
+         * Estimate coverage by analyzing test file imports and function calls
+         * Identify source files that have no corresponding test files
+         * Note: "No coverage data found - will identify gaps by analysis"
+    
+    c) Gap Analysis:
+       - Compare current coverage to target {{ coverage_threshold }}%
+       - Identify files with coverage below threshold
+       - List top 10 files/modules with lowest coverage
+       - Focus analysis on {{ focus_areas }}
+       - Prioritize gaps by impact:
+         * Critical: Core business logic with <50% coverage
+         * High: Error handling and edge cases with <70% coverage
+         * Medium: Helper functions and utilities with <80% coverage
+  
+  
+  # =========================================================================
+  # STEP 4: IDENTIFY GAPS USING LEARNED PATTERNS
+  # =========================================================================
+  # Purpose: Use Memory's patterns to make smarter gap identification
+  # Extension: Both (Developer analysis + Memory context)
+  
+  Step 4: Identify Testing Gaps (Using Learned Patterns)
+    Using both the coverage analysis AND the learned patterns from Step 1:
+    
+    a) Apply learned patterns to current analysis:
+       - If Memory contains testing style preferences, apply them
+       - Check if current gaps match previously identified gap patterns
+       - Consider team's preferred test granularity (unit vs integration)
+       - Note patterns like: "Team prefers testing error cases separately"
+    
+    b) Categorize and prioritize missing tests by {{ focus_areas }}:
+       {% if focus_areas == "all" or "core-logic" in focus_areas %}
+       - Core Logic Gaps:
+         * Functions/methods with no test coverage
+         * Business logic paths not exercised by tests
+         * Main workflows missing test scenarios
+       {% endif %}
+       
+       {% if focus_areas == "all" or "edge-cases" in focus_areas %}
+       - Edge Case Gaps:
+         * Boundary conditions (empty inputs, max values, null/undefined)
+         * Unusual input combinations
+         * Race conditions or timing-sensitive code
+       {% endif %}
+       
+       {% if focus_areas == "all" or "error-handling" in focus_areas %}
+       - Error Handling Gaps:
+         * Exception paths not tested
+         * Error callbacks or error states
+         * Validation failure scenarios
+       {% endif %}
+       
+       {% if focus_areas == "all" or "integration" in focus_areas %}
+       - Integration Gaps:
+         * API endpoint tests
+         * Database interaction tests
+         * External service mock/integration tests
+       {% endif %}
+    
+    c) Create prioritized list:
+       - Rank gaps by: (impact × likelihood × ease of testing)
+       - Mark which gaps align with learned patterns
+       - Identify quick wins (high impact, easy to test)
+  
+  
+  # =========================================================================
+  # STEP 5: GENERATE TEST SUGGESTIONS
+  # =========================================================================
+  # Purpose: Create specific, actionable test recommendations
+  # Extension: Developer (code generation using learned context)
+  
+  Step 5: Generate Test Suggestions
+    For each identified gap, create specific test suggestions:
+    
+    a) For each high-priority gap:
+       - Write a clear, descriptive test name following framework conventions
+       - Explain what this test should verify
+       - Provide the expected test structure for {{ test_framework }}
+       - Include a brief code example showing the test skeleton
+       - If learned patterns exist, match the team's testing style
+       
+       Example format:
+       ```
+       Test: test_user_authentication_with_invalid_credentials
+       Purpose: Verify that authentication fails gracefully with wrong password
+       Priority: Critical (core-logic, error-handling)
+       Estimated effort: 10 minutes
+       
+       Code example for {{ test_framework }}:
+       [Framework-specific test code here]
+       ```
+    
+    b) Include implementation context:
+       - Why this test is important (coverage gap, risk mitigation)
+       - Which code path it covers
+       - Expected assertions and edge cases to test
+       - Dependencies or mocks needed
+    
+    c) Organize suggestions by priority:
+       - Critical (must-have for {{ coverage_threshold }}% target)
+       - High (important for robust coverage)
+       - Medium (nice-to-have, improves confidence)
+       
+    d) Limit initial suggestions:
+       - Provide top 5-10 most impactful tests
+       - Note: "Implement these first, then re-run for more suggestions"
+  
+  
+  # =========================================================================
+  # STEP 6: CREATE TEST TEMPLATES (Optional)
+  # =========================================================================
+  # Purpose: Generate ready-to-use test file templates
+  # Extension: Developer (template creation)
+  
+  Step 6: Generate Test Templates
+    {% if generate_templates == "true" %}
+    Create test file templates that developers can immediately use:
+    
+    a) For files with NO existing tests:
+       - Create a complete new test file template
+       - Include proper imports for {{ test_framework }}
+       - Add setup/teardown methods if applicable
+       - Provide 2-3 example test functions with placeholders
+       - Match the coding style from Memory if available
+       
+    b) For files with SOME existing tests:
+       - Generate test functions to add to existing test files
+       - Match the existing test file's style and structure
+       - Include comments indicating where to insert the new tests
+    
+    c) Include in templates:
+       - Proper test file naming (matching framework conventions)
+       - Required imports and dependencies
+       - Mock/fixture setup if needed
+       - Clear TODOs for values to fill in
+       - Example assertions showing expected patterns
+    
+    d) Output format:
+       - Provide templates as copyable code blocks
+       - Include file paths where templates should be saved
+       - Add instructions for running the tests
+       
+    Example output:
+    ```
+    # File: tests/test_user_authentication.py
+    # Framework: pytest
+    # Purpose: Tests for user authentication module
+    
+    import pytest
+    from myapp.auth import authenticate_user
+    
+    def test_authentication_success():
+        # TODO: Replace with actual test data
+        user = {"username": "test_user", "password": "correct_password"}
+        result = authenticate_user(user)
+        assert result.success is True
+        assert result.user_id is not None
+    
+    def test_authentication_invalid_password():
+        # Test critical error path
+        user = {"username": "test_user", "password": "wrong_password"}
+        result = authenticate_user(user)
+        assert result.success is False
+        assert result.error == "Invalid credentials"
+    ```
+    {% else %}
+    Template generation is disabled. Providing suggestions only (see Step 5).
+    {% endif %}
+  
+  
+  # =========================================================================
+  # STEP 7: STORE PATTERNS IN MEMORY
+  # =========================================================================
+  # Purpose: Learn from this analysis to improve future runs
+  # Extension: Memory (pattern storage)
+  
+  Step 7: Store Analysis Results and Patterns in Memory
+    Update Memory with findings from this analysis:
+    
+    a) Store project-specific patterns:
+       - Save key "{{ project_path }}_testing_style":
+         * Detected framework: {{ test_framework }}
+         * Common test patterns observed (e.g., "uses fixtures", "prefers mocks")
+         * Naming conventions detected
+         * Code style preferences
+       
+       - Save key "{{ project_path }}_gap_patterns":
+         * Types of gaps found this run
+         * Areas consistently lacking coverage
+         * Common missing test scenarios
+       
+       - Save key "{{ project_path }}_coverage_baseline":
+         * Current coverage: [calculated percentage]%
+         * Target coverage: {{ coverage_threshold }}%
+         * Date of analysis
+         * Number of tests suggested
+    
+    b) Update general knowledge:
+       - Save key "testing_best_practices":
+         * Effective test patterns encountered
+         * Framework-specific tips learned
+         * Common pitfalls to avoid
+    
+    c) Store metadata for tracking:
+       - Analysis timestamp
+       - Framework detected/used
+       - Focus areas analyzed
+       - Number of suggestions generated
+       - Estimated coverage improvement
+    
+    Note: This stored information will be used in Step 1 of the next run
+    to provide better, more contextual suggestions.
+  
+  
+  # =========================================================================
+  # STEP 8: PRESENT FINAL REPORT
+  # =========================================================================
+  # Purpose: Clearly communicate results and next steps to user
+  # Extension: Both (summarized results)
+  
+  Step 8: Present Comprehensive Report
+    Provide a well-structured final report to the user:
+    
+    a) Coverage Summary:
+       ```
+       📊 Test Coverage Analysis for {{ project_path }}
+       
+       Current Coverage: [calculated percentage]% (based on analysis/reports)
+       Target Coverage: {{ coverage_threshold }}%
+       Coverage Gap: [target minus current]% (target - current)
+       
+       Framework Detected: {{ test_framework }}
+       Focus Areas: {{ focus_areas }}
+       Tests Analyzed: [count] test files, [count] test cases
+       ```
+    
+    b) Top Recommended Tests:
+       List the 5-10 highest priority test suggestions:
+       ```
+       🎯 High-Priority Test Suggestions:
+       
+       1. [CRITICAL] test_user_login_with_invalid_credentials
+          - What: Verify authentication fails gracefully
+          - Why: Core security logic, currently untested
+          - Effort: ~10 minutes
+          - Coverage gain: +2-3%
+       
+       2. [CRITICAL] test_data_validation_edge_cases
+          - What: Test empty/null input handling
+          - Why: Common source of production bugs
+          - Effort: ~15 minutes
+          - Coverage gain: +1-2%
+       
+       [... continue for top suggestions]
+       ```
+    
+    c) Implementation Guidance:
+       ```
+       📝 Next Steps:
+       
+       1. Start with CRITICAL tests (biggest impact)
+       2. {% if generate_templates == "true" %}
+          Use the templates provided above - copy and customize
+          {% else %}
+          Create test files based on suggestions above
+          {% endif %}
+       3. Run tests to verify they work: {{ test_framework }} [command]
+       4. Run coverage again to see improvement
+       5. Re-run this recipe for additional suggestions
+       
+       💡 Pro Tips:
+       - Implement tests iteratively (don't try to do everything at once)
+       - Run coverage after each batch to track progress
+       - For {{ coverage_threshold }}% target, focus on core-logic first
+       - This recipe learns - patterns will improve with each run
+       ```
+    
+    d) Coverage Projection:
+       ```
+       📈 Estimated Impact:
+       
+       If you implement the top 5 suggested tests:
+       - Estimated coverage increase: +[percentage]%
+       - New coverage projection: [new total]%
+       - Remaining gap to target: [remaining gap]%
+       
+       Tests needed to reach {{ coverage_threshold }}%: approximately [number] more tests
+       ```
+    
+    e) Learned Patterns Summary:
+       ```
+       🧠 Memory Updated:
+       
+       - Stored testing style preferences for {{ project_path }}
+       - Saved [count] gap patterns for future reference
+       - Updated coverage baseline
+       - Future runs will provide better suggestions based on this analysis
+       ```
+  
+  
+  # =========================================================================
+  # COMPLETION
+  # =========================================================================
+  
+  Your analysis is complete! The user now has:
+  - Clear understanding of current coverage gaps
+  - Prioritized list of tests to implement
+  {% if generate_templates == "true" %}
+  - Ready-to-use test templates
+  {% endif %}
+  - Improved future suggestions through Memory learning
+  
+  Remind the user to re-run this recipe after implementing tests to:
+  1. See coverage improvements
+  2. Get additional suggestions based on learned patterns
+  3. Continue iterating toward {{ coverage_threshold }}% coverage