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feat: Add agents for constitution generation, instruction analysis, and feature specification
- Created `excavate.constitution.agent.md` to generate/update project constitution based on code analysis. - Added `excavate.instructions.agent.md` for generating/updating Copilot instructions. - Introduced `excavate.specifier.agent.md` to analyze feature documentation and generate specifications. - Established a new constitution file at `.github/constitution.md` with core principles and governance. - Implemented templates for feature and specification documentation in `.github/templates/`. - Added prompt files for each agent to facilitate invocation.
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---
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description: Analyzes the existing application to identify and describe features, producing a comprehensive feature inventory report.
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handoffs:
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- label: Create specs
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agent: excavate.specifier
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prompt: Generate detailed feature specifications based on the analysis
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send: true
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---
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## User Input
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You **MUST** consider the user input before proceeding (if not empty).
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## Mission
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Perform a deep analysis of the existing application to extract detailed feature information. For each discovered feature, generate a comprehensive **Feature Report** including code locations, line ranges, snippets, implementation details, and concise feature descriptions.
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## Output Format
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For each feature discovered, produce a report following this structure:
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1. **Feature Description**: What it does, business value, and key behaviors (no user story/acceptance criteria)
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2. **Code Clues & Implementation**: Exact file paths, line ranges, and code snippets for all relevant layers discovered during analysis
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---
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## Phase 1: Discover Architecture & Structure
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1. **Identify Project Structure**: Analyze the workspace folders and their purposes:
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- Use `list_dir` and `file_search` to map the complete project structure
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- Identify all modules/components and their purposes
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- Detect technology stacks per module by looking for dependency/build files (e.g., `package.json`, `*.csproj`, `pom.xml`, `requirements.txt`, `Cargo.toml`, `go.mod`, `build.gradle`, etc.)
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- **Do not assume any specific technology** - discover it from the codebase
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2. **Read Key Configuration Files**:
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- `.github/copilot-instructions.md` or similar project guidelines
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- `README.md` files in each module
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- Main configuration files relevant to the detected stack
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- Any architecture documentation present in the repository
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---
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## Phase 2: Identify & List All Features
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Scan the codebase to create a **comprehensive feature list**:
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1. **Backend Features**:
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- Use `list_dir` to scan API/controller/route/handler folders
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- Use `grep_search` to find all API endpoints based on the detected framework
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- List all endpoint handlers and business logic classes/modules
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- Create an inventory: `[Feature Name, Entry Point File]`
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2. **Frontend Features** (if applicable):
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- Scan UI components/views/pages directories
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- Review route definitions based on the detected framework
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- Identify main user-facing features from component/view names
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- Create an inventory: `[Feature Name, UI File, Related Backend API]`
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3. **Cross-Cutting Features**:
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- Authentication/Authorization implementations
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- Real-time communication features (if any)
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- External service integrations
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- File handling features
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- Reporting/export features
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- Background jobs/scheduled tasks
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- Any other infrastructure-level features
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**Deliverable**: A numbered list of all features found (e.g., "Found 25 features: 1. User Management, 2. File Upload, 3. ...")
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### Create Feature Analysis Task List
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After discovering all features, **create a todo task list** with one task per feature:
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1. **Use `manage_todo_list` tool** to create tasks for all discovered features
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2. **Each task must include**:
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- **Title**: "Analyze [Feature Name]"
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- **Description**: Detailed action items:
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- Read implementation files (controllers, business logic, repositories)
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- Extract backend code clues (endpoints, business methods, data access)
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- Extract frontend code clues (components, state management, API calls)
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- Capture authorization & security details
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- Find configuration settings
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- Identify test files
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- Generate complete feature report following template
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- **Status**: `not-started`
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- **ID**: Sequential number (1, 2, 3...)
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3. **Task Description Format**:
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```markdown
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Analyze [Feature Name] feature and generate complete feature report:
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- [ ] Read entry point/endpoint files
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- [ ] Extract endpoint details (path, method, line range, code snippet)
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- [ ] Read business logic implementation
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- [ ] Extract business method details (line range, code snippet)
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- [ ] Read data access layer code (if applicable)
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- [ ] Extract data access details (line range, code snippet)
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- [ ] Identify entities/models used
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- [ ] Read UI components (if applicable)
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- [ ] Extract UI component details (line range, code snippet)
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- [ ] Find state management code (if applicable)
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- [ ] Find API call implementations (if applicable)
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- [ ] Extract authorization/security details
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- [ ] Search for configuration settings
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- [ ] Find related test files
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- [ ] Generate complete feature report following template
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```
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4. **Example Task Creation**:
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```json
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{
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"id": 1,
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"title": "Analyze [Feature Name]",
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"description": "Analyze [Feature Name] feature...\n- [ ] Read entry point files\n- [ ] Extract API endpoints...",
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"status": "not-started"
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}
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```
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---
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## Task Workflow - Managing Progress with Todo List
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**CRITICAL**: Use the `manage_todo_list` tool to track progress throughout the entire analysis process.
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### Workflow Steps
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1. **After Phase 2**: Create the initial todo list with all discovered features (status: `not-started`)
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2. **Before analyzing each feature**:
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- Use `manage_todo_list` with `operation: "write"` to mark the current feature task as `in-progress`
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- Only ONE task should be `in-progress` at a time
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3. **After generating each feature's `analyze.md`**:
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- Use `manage_todo_list` with `operation: "write"` to mark the completed feature task as `completed`
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- Include ALL tasks in the update (completed ones + remaining ones)
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4. **Progress Check**: Periodically use `manage_todo_list` with `operation: "read"` to review overall progress
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### Example Workflow
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```
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Step 1: Create initial todo list after feature discovery
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───────────────────────────────────────────────────────
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manage_todo_list(operation: "write", todoList: [
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{id: 1, title: "Analyze User Management", status: "not-started", ...},
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{id: 2, title: "Analyze Authentication", status: "not-started", ...},
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{id: 3, title: "Analyze Room Management", status: "not-started", ...}
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])
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Step 2: Start working on first feature
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──────────────────────────────────────
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manage_todo_list(operation: "write", todoList: [
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{id: 1, title: "Analyze User Management", status: "in-progress", ...}, // ← Now working
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{id: 2, title: "Analyze Authentication", status: "not-started", ...},
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{id: 3, title: "Analyze Room Management", status: "not-started", ...}
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])
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Step 3: After creating specs/001-user-management/analyze.md
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────────────────────────────────────────────────────────────────
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manage_todo_list(operation: "write", todoList: [
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{id: 1, title: "Analyze User Management", status: "completed", ...}, // ← Done!
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{id: 2, title: "Analyze Authentication", status: "in-progress", ...}, // ← Now working
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{id: 3, title: "Analyze Room Management", status: "not-started", ...}
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])
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Repeat until all features are completed...
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```
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---
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## Phase 3: Generate Analysis Output Files
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After discovering and analyzing all features, generate the following output structure:
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1. **Main overview file**: `docs/analyze.md` - contains architecture overview and 1 task per feature
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2. **Feature directories**: `specs/[NNN-feature-name]/analyze.md` - contains detailed analysis per feature (e.g., `001-user-management`, `002-file-upload`)
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### Step 1: Create Main Overview File
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Use the `create_file` tool to write `docs/analyze.md` with the following structure:
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```markdown
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# 📊 Feature Analysis Report
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**Date**: [Today's date]
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**Total Features Identified**: [Count]
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---
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## Architecture Overview
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- **Technology Stack**: [Detected technologies and frameworks]
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- **Architecture Pattern**: [Discovered pattern based on code analysis]
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- **Authorization Mechanism**: [Discovered mechanism if any]
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- **Real-time Features**: [Discovered real-time capabilities if any]
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- **External Integrations**: [List of external services if any]
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---
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## Features to Analyze
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| # | Feature | Category | Details |
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|---|---------|----------|---------||
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| 001 | [Feature Name] | [Category] | [specs/001-feature-name/analyze.md](specs/001-feature-name/analyze.md) |
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| 002 | ... | ... | ... |
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---
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## Analysis Tasks
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- [ ] [001 - Feature Name](specs/001-feature-name/analyze.md)
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- [ ] [002 - Feature Name](specs/002-feature-name/analyze.md)
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- [ ] [003 - Feature Name](specs/003-feature-name/analyze.md)
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...
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---
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## Summary by Category
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| Category | Feature Count | Primary Files |
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|----------|---------------|---------------|
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| [Category 1] | X | [Primary files discovered] |
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| [Category 2] | X | [Primary files discovered] |
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| ... | ... | ... |
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```
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### Step 2: Create Feature Analysis Directories
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For **each discovered feature**, follow this process:
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#### A. Mark Task as In-Progress
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Before starting analysis of a feature, update the todo list:
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```
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manage_todo_list(operation: "write", todoList: [...all tasks with current one as "in-progress"...])
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```
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#### B. Create Feature Directory and Analysis File
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**Directory structure**: `specs/[NNN-feature-name-kebab-case]/analyze.md`
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Where `NNN` is a zero-padded 3-digit number (001, 002, 003, etc.) based on the order features were discovered.
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Use the `create_file` tool to write each feature's `analyze.md` with the following structure:
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```markdown
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# Feature: [Feature Name]
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**Category**: [Category Name]
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**Status**: Not Analyzed
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---
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## Description
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[Brief description of what the feature does and its business value]
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---
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## Code Locations
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### Entry Points / Endpoints
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- `[Path to endpoint/handler]` (Lines X-Y)
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### Business Logic
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- `[Path to business layer]` (Lines X-Y)
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### Data Access
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- `[Path to data layer]` (Lines X-Y) *(if applicable)*
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### UI Components
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- `[Path to UI component]` (Lines X-Y) *(if applicable)*
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---
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## Analysis Details
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- Review entry point/endpoint implementation
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- Review business logic
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- Review data access layer *(if applicable)*
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- Review UI components *(if applicable)*
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- Document API endpoints
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- Identify authorization requirements
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- Check test coverage
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---
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## Dependencies
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- [List any dependencies on other features or external services]
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---
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## Notes
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[Any additional observations or context discovered during analysis]
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```
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#### C. Mark Task as Completed
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**IMMEDIATELY** after creating the feature's `analyze.md` file, update the todo list:
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```
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manage_todo_list(operation: "write", todoList: [...all tasks with current one as "completed"...])
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```
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**Important**: Always include ALL tasks when updating the todo list (completed, in-progress, and not-started). The write operation replaces the entire list.
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### File Creation Instructions
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1. **Create directories**:
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- `docs/` for the main overview
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- `specs/` for feature directories
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- `specs/[NNN-feature-name]/` for each feature (use 3-digit zero-padded number prefix + kebab-case, e.g., `001-user-management`, `002-file-upload`)
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2. **Generate `docs/analyze.md`** (main overview) with:
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- Architecture overview
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- Table of all features with links to their detailed analysis files
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- One Markdown task checkbox (`- [ ]`) per feature linking to the feature's analyze.md
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- Summary tables for quick reference
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3. **Generate `specs/[NNN-feature-name]/analyze.md`** (per feature) with:
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- Detailed feature description
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- All code locations with file paths and line ranges
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- Analysis details as bullet points (no checkboxes)
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- Dependencies and notes
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4. **Naming Convention**:
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- Use 3-digit zero-padded number prefix + kebab-case for directory names (e.g., `001-user-management`, `002-file-upload`, `003-authentication`)
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- Number features sequentially in the order they are discovered
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- Always name the file `analyze.md` within each feature directory
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- Use `-` (simple bullet, no checkbox) for detailed sub-items under the task
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- This format allows another agent to pick up and perform deeper analysis on each feature
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---
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## Analysis Best Practices
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- **Be thorough**: Spend adequate time discovering all features before generating the output
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- **Make no assumptions**: Discover architecture, technology stack, and patterns from the codebase itself
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- **Use semantic search**: When looking for features, use semantic search to find related code
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- **Check all layers**: Ensure feature inventory covers all architectural layers discovered
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- **Document patterns**: Note coding patterns, naming conventions, and architectural decisions
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- **Organize by category**: Group related features together for easier navigation
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- **Map dependencies**: Understand how modules communicate (APIs, events, shared state)
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- **Adapt to the stack**: Use appropriate search patterns based on the discovered technology
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### Tools Used by This Agent
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- `semantic_search`: Find features by concept/functionality
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- `grep_search`: Find specific patterns, class names, or method signatures
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- `list_dir`: Explore folder structures
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- `file_search`: Find files by name pattern
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- `read_file`: Read file contents for detailed analysis
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- `manage_todo_list`: **CRITICAL** - Create, track, and update feature analysis tasks
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- `create_file`: Generate the analyze.md output file
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### Todo List Best Practices
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- **Create tasks early**: After Phase 2 feature discovery, immediately create the full todo list
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- **Update frequently**: Mark tasks in-progress BEFORE starting and completed IMMEDIATELY after
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- **One at a time**: Only have ONE task in `in-progress` status at any moment
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- **Complete list updates**: Always provide the COMPLETE todo list when writing (don't omit tasks)
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- **Track progress**: The todo list provides visibility into analysis progress for monitoring
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---

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